Virtual breakfast: The state of the EU in 2023 3 May 2023 — 8:30AM TO 9:30AM Anonymous (not verified) 5 April 2023 Online

In this breakfast discussion, we will explore the current state of play in the EU with one the most prominent experts on European politics.

While the European Union has come together in its response to the invasion of Ukraine, significant divisions remain on other issues. East-West tensions remain high and troublesome German-French relations are hampering the bloc’s traditional engine of integration.
 
Furthermore, the EU is pushing through legislation at breakneck speed, including in its attempts to kickstart green industrial policy with its responses to the American Inflation Reduction Act. At the same time, the main players within the EU continue to disagree on what the bloc’s fiscal rules should look like.

• What are the implications of the recent wave of protests in France against President Macron’s pension reforms?
• What is the outlook of EU-UK relations following the successful completion of the Windsor Framework?
• Where are the fiscal rules likely to land and when will they be back in place?
• Are we seeing the emergence of a new Central and Eastern European power bloc within the EU?

In short, despite having avoided an energy crisis over the winter, the EU continues to face significant challenges. In this breakfast event, we will explore the current state of play in the EU with one of the most prominent experts on European politics.

Methods to shorten [¹⁸F]FDG Patlak PET imaging procedures ranging from 65–90 to 20–30 min after injection, using a population-averaged input function (PIF) scaled to patient-specific image-derived input function (IDIF) values, were recently evaluated. The aim of the present study was to explore the feasibility of ultrashort 10-min [¹⁸F]FDG Patlak imaging at 55–65 min after injection using a PIF combined with direct Patlak reconstructions to provide reliable quantitative accuracy of lung tumor uptake, compared with a full-duration 65-min acquisition using an IDIF. Methods: Patients underwent a 65-min dynamic PET acquisition on a long-axial-field-of-view (LAFOV) Biograph Vision Quadra PET/CT scanner. Subsequently, direct Patlak reconstructions and image-based (with reconstructed dynamic images) Patlak analyses were performed using both the IDIF (time to relative kinetic equilibrium between blood and tissue concentration (t*) = 30 min) and a scaled PIF at 30–60 min after injection. Next, direct Patlak reconstructions were performed on the system console using only the last 10 min of the acquisition, that is, from 55 to 65 min after injection, and a scaled PIF using maximum crystal ring difference settings of both 85 and 322. Tumor lesion and healthy-tissue uptake was quantified and compared between the differently obtained parametric images to assess quantitative accuracy. Results: Good agreement was obtained between direct- and image-based Patlak analyses using the IDIF (t* = 30 min) and scaled PIF at 30–60 min after injection, performed using the different approaches, with no more than 8.8% deviation in tumor influx rate value (K_i) (mean difference ranging from –0.0022 to 0.0018 mL/[min x g]). When direct Patlak reconstruction was performed on the system console, excellent agreement was found between the use of a scaled PIF at 30–60 min after injection versus 55–65 min after injection, with 2.4% deviation in tumor K_i (median difference, –0.0018 mL/[min x g]; range, –0.0047 to 0.0036 mL/[min x g]). For different maximum crystal ring difference settings using the scan time interval of 55–65 min after injection, only a 0.5% difference (median difference, 0.0000 mL/[min x g]; range, –0.0004 to 0.0013 mL/[min x g]) in tumor K_i was found. Conclusion: Ultrashort whole-body [¹⁸F]FDG Patlak imaging is feasible on an LAFOV Biograph Vision Quadra PET/CT system without loss of quantitative accuracy to assess lung tumor uptake compared with a full-duration 65-min acquisition. The ultrashort 10-min direct Patlak reconstruction with PIF allows for its implementation in clinical practice.

Quantification of ¹⁸F-FDG PET images is useful for accurate diagnosis and evaluation of various brain diseases, including brain tumors, epilepsy, dementia, and Parkinson disease. However, accurate quantification of ¹⁸F-FDG PET images requires matched 3-dimensional T₁ MRI scans of the same individuals to provide detailed information on brain anatomy. In this paper, we propose a transfer learning approach to adapt a pretrained deep neural network model from amyloid PET to spatially normalize ¹⁸F-FDG PET images without the need for 3-dimensional MRI. Methods: The proposed method is based on a deep learning model for automatic spatial normalization of ¹⁸F-FDG brain PET images, which was developed by fine-tuning a pretrained model for amyloid PET using only 103 ¹⁸F-FDG PET and MR images. After training, the algorithm was tested on 65 internal and 78 external test sets. All T₁ MR images with a 1-mm isotropic voxel size were processed with FreeSurfer software to provide cortical segmentation maps used to extract a ground-truth regional SUV ratio using cerebellar gray matter as a reference region. These values were compared with those from spatial normalization-based quantification methods using the proposed method and statistical parametric mapping software. Results: The proposed method showed superior spatial normalization compared with statistical parametric mapping, as evidenced by increased normalized mutual information and better size and shape matching in PET images. Quantitative evaluation revealed a consistently higher SUV ratio correlation and intraclass correlation coefficients for the proposed method across various brain regions in both internal and external datasets. The remarkably good correlation and intraclass correlation coefficient values of the proposed method for the external dataset are noteworthy, considering the dataset’s different ethnic distribution and the use of different PET scanners and image reconstruction algorithms. Conclusion: This study successfully applied transfer learning to a deep neural network for ¹⁸F-FDG PET spatial normalization, demonstrating its resource efficiency and improved performance. This highlights the efficacy of transfer learning, which requires a smaller number of datasets than does the original network training, thus increasing the potential for broader use of deep learning–based brain PET spatial normalization techniques for various clinical and research radiotracers.

The peptide hormone ghrelin is produced in cardiomyocytes and acts through the myocardial growth hormone secretagogue receptor (GHSR) to promote cardiomyocyte survival. Administration of ghrelin may have therapeutic effects on post–myocardial infarction (MI) outcomes. Therefore, there is a need to develop molecular imaging probes that can track the dynamics of GHSR in health and disease to better predict the effectiveness of ghrelin-based therapeutics. We designed a high-affinity GHSR ligand labeled with ¹⁸F for imaging by PET and characterized its in vivo properties in a canine model of MI. Methods: We rationally designed and radiolabeled with ¹⁸F a quinazolinone derivative ([¹⁸F]LCE470) with subnanomolar binding affinity to GHSR. We determined the sensitivity and in vivo and ex vivo specificity of [¹⁸F]LCE470 in a canine model of surgically induced MI using PET/MRI, which allowed for anatomic localization of tracer uptake and simultaneous determination of global cardiac function. Uptake of [¹⁸F]LCE470 was determined by time–activity curve and SUV analysis in 3 regions of the left ventricle—area of infarct, territory served by the left circumflex coronary artery, and remote myocardium—over a period of 1.5 y. Changes in cardiac perfusion were tracked by [¹³N]NH₃ PET. Results: The receptor binding affinity of LCE470 was measured at 0.33 nM, the highest known receptor binding affinity for a radiolabeled GHSR ligand. In vivo blocking studies in healthy hounds and ex vivo blocking studies in myocardial tissue showed the specificity of [¹⁸F]LCE470, and sensitivity was demonstrated by a positive correlation between tracer uptake and GHSR abundance. Post-MI changes in [¹⁸F]LCE470 uptake occurred independently of perfusion tracer distributions and changes in global cardiac function. We found that the regional distribution of [¹⁸F]LCE470 within the left ventricle diverged significantly within 1 d after MI and remained that way throughout the 1.5-y duration of the study. Conclusion: [¹⁸F]LCE470 is a high-affinity PET tracer that can detect changes in the regional distribution of myocardial GHSR after MI. In vivo PET molecular imaging of the global dynamics of GHSR may lead to improved GHSR-based therapeutics in the treatment of post-MI remodeling.

Preclinical data have shown that ¹⁶¹Tb-labeled peptides targeting the somatostatin receptor are therapeutically more effective for peptide receptor radionuclide therapy than are their ¹⁷⁷Lu-labeled counterparts. To further substantiate this enhanced therapeutic effect, we performed cellular dosimetry to quantify the absorbed dose to the cell nucleus and compared dose–response curves to evaluate differences in relative biological effectiveness in vitro. Methods: CA20948 cell survival was assessed after treatment with [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTATATE (agonist) and with [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTA-LM3 (antagonist) via a clonogenic assay. Cell binding, internalization, and dissociation assays were performed up to 7 d to acquire time-integrated activity coefficients. Separate S values for each type of particle emission (Auger/internal conversion [IC] electrons and β^– particles) were computed via Monte Carlo simulations, while considering spheric cells. Once the absorbed dose to the cell nucleus was calculated, survival curves were fitted to the appropriate linear or linear-quadratic model and corresponding relative biological effectiveness was evaluated. Results: Although the radiopeptide uptake was independent of the radionuclide, [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 delivered a 3.6 and 3.8 times higher dose to the nucleus, respectively, than their ¹⁷⁷Lu-labeled counterparts on saturated receptor binding. This increased nucleus-absorbed dose was mainly due to the additional emission of IC and not Auger electrons by ¹⁶¹Tb. When activity concentrations were considered, both [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 showed a lower survival fraction than did labeling with ¹⁷⁷Lu. When the absorbed dose to the nucleus was considered, no significant difference could be observed between the dose–response curves for [¹⁶¹Tb]Tb- and [¹⁷⁷Lu]Lu-DOTATATE. [¹⁶¹Tb]Tb-DOTA-LM3 showed a linear-quadratic dose response, whereas [¹⁶¹Tb]Tb-DOTATATE showed only a linear dose response within the observed dose range, suggesting additional cell membrane damage by Auger electrons. Conclusion: The IC, rather than Auger, electrons emitted by ¹⁶¹Tb resulted in a higher absorbed dose to the cell nucleus and lower clonogenic survival for [¹⁶¹Tb]Tb-DOTATATE and [¹⁶¹Tb]Tb-DOTA-LM3 than for the ¹⁷⁷Lu-labeled analogs. In contrast, [¹⁶¹Tb]Tb-DOTATATE showed no higher dose response than [¹⁷⁷Lu]Lu-DOTATATE, whereas for [¹⁶¹Tb]Tb-DOTA-LM3 an additional quadratic response was observed. Because of this quadratic response, potentially caused by cell membrane damage, [¹⁶¹Tb]Tb-DOTA-LM3 is a more effective radiopeptide than [¹⁶¹Tb]Tb-DOTATATE for labeling with ¹⁶¹Tb.

Radiolabeled small-molecule DOTA-haptens can be combined with antitumor/anti-DOTA bispecific antibodies (BsAbs) for pretargeted radioimmunotherapy (PRIT). For optimized delivery of the theranostic - and β-emitting isotope ¹⁷⁷Lu with DOTA-based PRIT (DOTA-PRIT), bivalent Gemini (DOTA-Bn-thiourea-PEG4-thiourea-Bn-DOTA, aka (3,6,9,12-tetraoxatetradecane-1,14-diyl)bis(DOTA-benzyl thiourea)) was developed. Methods: Gemini was synthesized by linking 2 S-2-(4-isothiocyanatobenzyl)-DOTA molecules together via a 1,14-diamino-PEG4 linker. [¹⁷⁷Lu]Lu-Gemini was prepared with no-carrier-added ¹⁷⁷LuCl₃ to a molar-specific activity of 123 GBq/μmol and radiochemical purity of more than 99%. The specificity of BsAb-¹⁷⁷Lu-Gemini was verified in vitro. Subsequently, we evaluated biodistribution and whole-body clearance for [¹⁷⁷Lu]Lu-Gemini and, for comparison, our gold-standard monovalent [¹⁷⁷Lu]Lu-S-2-(4-aminobenzyl)-DOTA ([¹⁷⁷Lu]Lu-DOTA-Bn) in naïve (tumor-free) athymic nude mice. For our proof-of-concept system, a 3-step pretargeting approach was performed with an established DOTA-PRIT regimen (anti-GPA33/anti-DOTA IgG-scFv BsAb, a clearing agent, and [¹⁷⁷Lu]Lu-Gemini) in mouse models. Results: Initial in vivo studies showed that [¹⁷⁷Lu]Lu-Gemini behaved similarly to [¹⁷⁷Lu]Lu-DOTA-Bn, with almost identical blood and whole-body clearance kinetics, as well as biodistribution and mouse kidney dosimetry. Pretargeting [¹⁷⁷Lu]Lu-Gemini to GPA33-expressing SW1222 human colorectal xenografts was highly effective, leading to absorbed doses of [¹⁷⁷Lu]Lu-Gemini for blood, tumor, liver, spleen, and kidneys of 3.99, 455, 6.93, 5.36, and 14.0 cGy/MBq, respectively. Tumor–to–normal tissue absorbed-dose ratios (i.e., therapeutic indices [TIs]) for the blood and kidneys were 114 and 33, respectively. In addition, we demonstrate that the use of bivalent [¹⁷⁷Lu]Lu-Gemini in DOTA-PRIT leads to improved TIs and augmented [¹⁷⁷Lu]Lu-Gemini tumor uptake and retention in comparison to monovalent [¹⁷⁷Lu]Lu-DOTA-Bn. Finally, we established efficacy in SW1222 tumor-bearing mice, demonstrating that a single injection of anti-GPA33 DOTA-PRIT with 44 MBq (1.2 mCi) of [¹⁷⁷Lu]Lu-Gemini (estimated tumor-absorbed dose, 200 Gy) induced complete responses in 5 of 5 animals and a histologic cure in 2 of 5 (40%) animals. Moreover, a significant increase in survival compared with nontreated controls was noted (maximum tolerated dose not reached). Conclusion: We have developed a bivalent DOTA-radiohapten, [¹⁷⁷Lu]Lu-Gemini, that showed improved radiopharmacology for DOTA-PRIT application. The use of bivalent [¹⁷⁷Lu]Lu-Gemini in DOTA-PRIT, as opposed to monovalent [¹⁷⁷Lu]Lu-DOTA-Bn, allows curative treatments with considerably less administered ¹⁷⁷Lu activity while still achieving high TIs for both the blood (>100) and the kidneys (>30).

Fibroblast activation protein (FAP) is abundantly expressed in the stroma of most human solid tumors. Clinical-stage radiolabeled FAP ligands are increasingly used as tools for the detection of various cancer lesions. To unleash the full therapeutic potential of FAP-targeting agents, ligands need to remain at the tumor site for several days after administration. We recently described the discovery of OncoFAP, a high-affinity small organic ligand of FAP with a rapid accumulation in tumors and low uptake in healthy tissues in cancer patients. Trimerization of OncoFAP provided a derivative (named TriOncoFAP, or OncoFAP-23) with improved FAP affinity. In this work, we evaluated the tissue biodistribution profile and the therapeutic performance of OncoFAP-23 in tumor-bearing mice. Methods: OncoFAP-23 was radiolabeled with the theranostic radionuclide ¹⁷⁷Lu. Preclinical experiments were conducted on mice bearing SK-RC-52.hFAP (BALB/c nude mice) or CT-26.hFAP (BALB/c mice) tumors. ¹⁷⁷Lu-OncoFAP and ¹⁷⁷Lu-FAP-2286 were included in the biodistribution study as controls. Toxicologic evaluation was performed on Wistar rats and CD1 mice by injecting high doses of OncoFAP-23 or its cold-labeled counterpart, respectively. Results: ¹⁷⁷Lu-OncoFAP-23 emerged for its best-in-class biodistribution profile, high and prolonged tumor uptake (i.e., ~16 percentage injected dose/g at 96 h), and low accumulation in healthy organs, which correlates well with its potent single-agent anticancer activity at low levels of administered radioactivity. Combination treatment with the tumor-targeted interleukin 2 (L19-IL2, a clinical-stage immunocytokine) further expands the therapeutic window of ¹⁷⁷Lu-OncoFAP-23 by potentiating its in vivo antitumor activity. Proteomics studies revealed a potent tumor-directed immune response on treatment with the combination. OncoFAP-23 and ^natLu-OncoFAP-23 exhibited a favorable toxicologic profile, without showing any side effects or signs of toxicity. Conclusion: OncoFAP-23 presents enhanced tumor uptake and tumor retention and low accumulation in healthy organs, findings that correspond to a strongly improved in vivo antitumor efficacy. The data presented in this work support the clinical development of ¹⁷⁷Lu-OncoFAP-23 for the treatment of FAP-positive solid tumors.

Our objective is to explore quantitative imaging markers for early prediction of treatment response in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing [¹⁷⁷Lu]Lu-DOTATATE therapy. By doing so, we aim to enable timely switching to more effective therapies in order to prevent time-resource waste and minimize toxicities. Methods: Patients diagnosed with unresectable or metastatic, progressive, well-differentiated, receptor-positive GEP-NETs who received 4 sessions of [¹⁷⁷Lu]Lu-DOTATATE were retrospectively selected. Using SPECT/CT images taken at the end of treatment sessions, we counted all visible tumors and measured their largest diameters to calculate the tumor burden score (TBS). Up to 4 target lesions were selected and semiautomatically segmented. Target lesion peak counts and spleen peak counts were measured, and normalized peak counts were calculated. Changes in TBS (TBS) and changes in normalized peak count (nPC) throughout treatment sessions in relation to the first treatment session were calculated. Treatment responses were evaluated using third-month CT and were binarized as progressive disease (PD) or non-PD. Results: Twenty-seven patients were included (7 PD, 20 non-PD). Significant differences were observed in TBS_second-first, TBS_third-first, and TBS_fourth-first (where second-first, third-first, and fourth-first denote scan number between the second and first, third and first, and fourth and first [¹⁷⁷Lu]Lu-DOTATATE treatment cycles), respectively) between the PD and non-PD groups (median, 0.043 vs. –0.049, 0.08 vs. –0.116, and 0.109 vs. –0.123 [P = 0.023, P = 0.002, and P < 0.001], respectively). nPC_second-first showed significant group differences (mean, –0.107 vs. –0.282; P = 0.033); nPC_third-first and nPC_fourth-first did not reach statistical significance (mean, –0.122 vs. –0.312 and –0.183 vs. –0.405 [P = 0.117 and 0.067], respectively). At the optimal threshold, TBS_fourth-first exhibited an area under the curve (AUC) of 0.957, achieving 100% sensitivity and 80% specificity. TBS_second-first and TBS_third-first reached AUCs of 0.793 and 0.893, sensitivities of 71.4%, and specificities of 85% and 95%, respectively. nPC_second-first, nPC_third-first, and nPC_fourth-first showed AUCs of 0.764, 0.693, and 0.679; sensitivities of 71.4%, 71.4%, and 100%; and specificities of 75%, 70%, and 35%, respectively. Conclusion: TBS and nPC can predict [¹⁷⁷Lu]Lu-DOTATATE response by the second treatment session.

Unspecific bone uptake (UBU) related to [¹⁸F]PSMA-1007 PET/CT imaging represents a clinical challenge. We aimed to assess whether a combination of clinical, biochemical, and imaging parameters could predict skeletal metastases in patients with [¹⁸F]PSMA-1007 bone focal uptake, aiding in result interpretation. Methods: We retrospectively analyzed [¹⁸F]PSMA-1007 PET/CT performed in hormone-sensitive prostate cancer (PCa) patients at 3 tertiary-level cancer centers. A fourth center was involved in performing an external validation. For each, a volume of interest was drawn using a threshold method to extract SUV_max, SUV_mean, PSMA tumor volume, and total lesion PSMA. The same volume of interest was applied to CT images to calculate the mean Hounsfield units (HU_mean) and maximum Hounsfield units. Clinical and laboratory data were collected from electronic medical records. A composite reference standard, including follow-up histopathology, biochemistry, and imaging data, was used to distinguish between PCa bone metastases and UBU. PET readers with less (n = 2) or more (n = 2) experience, masked to the reference standard, were asked to visually rate a subset of focal bone uptake (n = 178) as PCa metastases or not. Results: In total, 448 bone [¹⁸F]PSMA-1007 focal uptake specimens were identified in 267 PCa patients. Of the 448 uptake samples, 188 (41.9%) corresponded to PCa metastases. Ongoing androgen deprivation therapy at PET/CT (P < 0.001) with determination of SUV_max (P < 0.001) and HU_mean (P < 0.001) independently predicted bone metastases. A composite prediction score, the bone uptake metastatic probability (BUMP) score, achieving an area under the receiver-operating-characteristic curve (AUC) of 0.87, was validated through a 10-fold internal and external validation (n = 89 bone uptake, 51% metastatic; AUC, 0.92). The BUMP score’s AUC was significantly higher than that of HU_mean (AUC, 0.62) and remained high among lesions with HU_mean in the first tertile (AUC, 0.80). A decision-curve analysis showed a higher net benefit with the score. Compared with the visual assessment, the BUMP score provided added value in terms of specificity in less-experienced PET readers (88% vs. 54%, P < 0.001). Conclusion: The BUMP score accurately distinguished UBU from bone metastases in PCa patients with [¹⁸F]PSMA-1007 focal bone uptake at PET imaging, offering additional value compared with the simple assessment of the osteoblastic CT correlate. Its use could help clinicians interpret imaging results, particularly those with less experience, potentially reducing the risk of patient overstaging.

This analysis aimed to identify clinical factors associated with positivity on repeat ⁶⁸Ga-PSMA-11 PET/CT after a negative scan in patients with recurrent prostate cancer (PCa) under observation. Methods: This single-center, retrospective analysis included patients who underwent at least 2 ⁶⁸Ga-PSMA-11 PET/CT scans (PET1 and PET2) at UCLA between October 2016 and June 2021 for recurrent PCa with negative PET1 and no PCa-related treatments between the 2 scans. Using Prostate Cancer Molecular Imaging Standardized Evaluation criteria to define negative and positive scans, the final cohort was divided into PET2-negative (PET2-Neg) and PET2-positive (PET2-Pos). The same PET1 was used twice in the more than 2 PET cases with inclusion criteria fulfilled. Patient characteristics and clinical parameters were compared between the 2 cohorts using Mann–Whitney U test and Fisher exact test. Areas under the curve (AUCs) of the receiver operating characteristic and the Youden index were computed to determine the discrimination ability of statistically significant factors and specific cut points that maximized sensitivity and specificity, respectively. Results: The final analysis included 83 sets of 2 PET/CT scans from 70 patients. Thirty-nine of 83 (47%) sets were PET2-Neg, and 44 of 83 (53%) sets were PET2-Pos. Prostate-specific antigen (PSA) increased from PET1 to PET2 for all 83 (100%) sets of scans. Median PSA at PET1 was 0.4 ng/mL (interquartile range, 0.2–1.0) and at PET2 was 1.6 ng/mL (interquartile range, 0.9–3.8). We found higher serum PSA at PET2 (median, 1.8 vs. 1.1 ng/mL; P = 0.015), absolute PSA difference (median, 1.4 vs. 0.7 ng/mL; P = 0.006), percentage of PSA change (median, +270.4% vs. +150.0%: P = 0.031), and median PSA velocity (0.044 vs. 0.017 ng/mL/wk, P = 0.002) and shorter PSA doubling time (DT; median, 5.1 vs. 8.3 mo; P = 0.006) in the PET2-Pos cohort than in the PET2-Neg cohort. Receiver operating characteristic curves showed cutoffs for PSA at PET2 of 4.80 ng/mL (sensitivity, 34%; specificity, 92%; AUC, 0.66), absolute PSA difference of 0.95 ng/mL (sensitivity, 62%; specificity, 71%; AUC, 0.68), percentage of PSA change of a positive 289.50% (sensitivity, 48%; specificity, 82%; AUC, 0.64), PSA velocity of 0.033 ng/mL/wk (sensitivity, 57%; specificity, 80%; AUC, 0.70), and PSA DT of 7.91 mo (sensitivity, 71%; specificity, 62%; AUC, 0.67). Conclusion: Patients with recurrent PCa under observation after a negative ⁶⁸Ga-PSMA-11 PET/CT scan with markedly elevated serum PSA levels and shorter PSA DT are more likely to have positive findings on repeat ⁶⁸Ga-PSMA-11 PET/CT.

Cancer of unknown primary (CUP) represents a heterogeneous group of metastatic tumors for which standardized diagnostic work-up fails to identify the primary site. We aimed to describe the Peter MacCallum Cancer Centre experience with ¹⁸F-FDG PET/CT in extracervical CUP with respect to detection of a primary site and its impact on management. A secondary aim was to compare overall survival (OS) in patients with and without a detected primary site. Methods: CUP patients treated between 2014 and 2020 were identified from medical oncology clinics and ¹⁸F-FDG PET/CT records. Information collated from electronic medical records included the suspected primary site and treatment details before and after ¹⁸F-FDG PET/CT. Clinicopathologic details and genomic analysis were used to determine the clinically suspected primary site and compared against 2 independent masked reads of ¹⁸F-FDG PET/CT images by nuclear medicine specialists to determine sensitivity, specificity, accuracy, and the rate of detection of the primary site. Results: We identified 147 patients, 65% of whom had undergone molecular profiling. The median age at diagnosis was 61 y (range, 20–84 y), and the median follow-up time was 74 mo (range, 26–83 mo). Eighty-two percent were classified as having an unfavorable CUP subtype as per international guidelines.¹⁸F-FDG PET/CT demonstrated a primary site detection rate of 41%, resulted in a change in management in 22%, and identified previously occult disease sites in 37%. Median OS was 16.8 mo for all patients and 104.7 and 12.1 mo for favorable and unfavorable CUP subtypes, respectively (P < 0.0001). Median OS in CUP patients when using ¹⁸F-FDG PET/CT, clinicopathologic, and genomic information was 19.8 and 8.5 mo when a primary site was detected and not detected, respectively (P = 0.016). Multivariable analysis of survival adjusted for age and sex remained significant for identification of a potential primary site (P < 0.001), a favorable CUP (P < 0.001), and an Eastern Cooperative Oncology Group status of 1 or less (P < 0.001). Conclusion: ¹⁸F-FDG PET/CT plays a complementary role in CUP diagnostic work-up and was able to determine the likely primary site in 41% of cases. OS is improved with primary site identification, demonstrating the value of access to diagnostic ¹⁸F-FDG PET/CT for CUP patients.

Neoadjuvant therapy in patients with locally advanced rectal cancer (LARC) has achieved good pathologic complete response (pCR) rates, potentially eliminating the need for surgical intervention. This study investigated preoperative methods for predicting pCR after neoadjuvant short-course radiotherapy (SCRT) combined with immunochemotherapy. Methods: Treatment-naïve patients with histologically confirmed LARC were enrolled from February 2023 to July 2023. Before surgery, the patients received neoadjuvant SCRT followed by 2 cycles of capecitabine and oxaliplatin plus camrelizumab. ⁶⁸Ga-labeled fibroblast activation protein inhibitor ([⁶⁸Ga]Ga-FAPI-04) PET/MRI, [¹⁸F]FDG PET/CT, and contrast-enhanced MRI were performed before treatment initiation and before surgery in each patient. PET and MRI features and the size and number of lesions were also collected from each scan. Each parameter’s sensitivity, specificity, and diagnostic cutoff were derived via receiver-operating-characteristic curve analysis. Results: Twenty eligible patients (13 men, 7 women; mean age, 60.2 y) were enrolled and completed the entire trial, and all patients had proficient mismatch repair or microsatellite-stable LARC. A postoperative pCR was achieved in 9 patients (45.0%). In the visual evaluation, both [⁶⁸Ga]Ga-FAPI-04 PET/MRI and [¹⁸F]FDG PET/CT were limited to forecasting pCR. Contrast-enhanced MRI had a low sensitivity of 55.56% to predict pCR. In the quantitative evaluation, [⁶⁸Ga]Ga-FAPI-04 change in SUL_peak percentage, where SUL_peak is SUV_peak standardized by lean body mass, had the largest area under the curve (0.929) with high specificity (sensitivity, 77.78%; specificity, 100.0%; cutoff, 63.92%). Conclusion: [⁶⁸Ga]Ga-FAPI-04 PET/MRI is a promising imaging modality for predicting pCR after SCRT combined with immunochemotherapy. The SUL_peak decrease exceeding 63.92% may provide valuable guidance in selecting patients who can forgo surgery after neoadjuvant therapy.

Understanding which patients with human epidermal growth factor receptor 2 (HER2)–negative or –low metastatic breast cancer (MBC) benefit from HER2-targeted strategies is urgently needed. We assessed the whole-body heterogeneity of HER2 expression on ⁸⁹Zr-trastuzumab PET (HER2 PET) and the diagnostic performance of HER2 PET in a large series of patients, including HER2-negative and -low MBC. Methods: In the IMPACT-MBC study, patients with newly diagnosed and nonrapidly progressive MBC of all subtypes were included. Metastasis HER2 status was determined by immunohistochemistry and in situ hybridization.⁸⁹Zr-trastuzumab uptake was quantified as SUV_max and SUV_mean. HER2 immunohistochemistry was related to the quantitative ⁸⁹Zr-trastuzumab uptake of all metastases and corresponding biopsied metastasis, uptake heterogeneity, and qualitative scan evaluation. A prediction algorithm for HER2 immunohistochemistry positivity based on uptake was developed. Results: In 200 patients, ⁸⁹Zr-trastuzumab uptake was quantified in 5,163 metastases, including 186 biopsied metastases. With increasing HER2 immunohistochemistry status, uptake was higher (geometric mean SUV_max of 7.0, 7.6, 7.3, and 17.4 for a HER2 immunohistochemistry score of 0, 1, 2, or 3+, respectively; P < 0.001). High uptake exceeding 14.6 (90th percentile) was observed in one third of patients with a HER2-negative or -low metastasis biopsy. The algorithm performed best when lesion site and size were incorporated (area under the curve, 0.86; 95% CI, 0.79–0.93). Conclusion: HER2 PET had good diagnostic performance in MBC, showing considerable whole-body HER2 heterogeneity and uptake above background in HER2-negative and -low MBC. This provides novel insights into HER2-negative and -low MBC compared with standard HER2 immunohistochemistry on a single biopsy.

This study evaluates the diagnostic utility of PET/MRI for primary, locoregional, and nodal head and neck squamous cell carcinoma (HNSCC) through systematic review and metaanalysis. Methods: A systematic search was conducted using PubMed and Scopus to identify studies on the diagnostic accuracy of PET/MRI for HNSCC. The search included specific terms and excluded nonhybrid PET/MRI studies, and those with a sample size of fewer than 10 patients were excluded. Results: In total, 15 studies encompassing 638 patients were found addressing the diagnostic test accuracy for PET/MRI within the chosen subject domain. Squamous cell carcinoma of the nasopharynx was the most observed HNSCC subtype (n = 198). The metaanalysis included 12 studies, with pooled sensitivity and specificity values of 93% and 95% per patient for primary disease evaluation, 93% and 96% for locoregional evaluation, and 89% and 98% per lesion for nodal disease detection, respectively. An examination of a subset of studies comparing PET/MRI against PET/CT or MRI alone for evaluating nodal and locoregional HNSCC found that PET/MRI may offer slightly higher accuracy than other modalities. However, this difference was not statistically significant. Conclusion: PET/MRI has excellent potential for identifying primary, locoregional, and nodal HNSCC.

Tumor hypoxia, an integral biomarker to guide radiotherapy, can be imaged with ¹⁸F-fluoromisonidazole (¹⁸F-FMISO) hypoxia PET. One major obstacle to its broader application is the lack of standardized interpretation criteria. We sought to develop and validate practical interpretation criteria and a dedicated training protocol for nuclear medicine physicians to interpret ¹⁸F-FMISO hypoxia PET. Methods: We randomly selected 123 patients with human papillomavirus–positive oropharyngeal cancer enrolled in a phase II trial who underwent 123 ¹⁸F-FDG PET/CT and 134 ¹⁸F-FMISO PET/CT scans. Four independent nuclear medicine physicians with no ¹⁸F-FMISO experience read the scans. Interpretation by a fifth nuclear medicine physician with over 2 decades of ¹⁸F-FMISO experience was the reference standard. Performance was evaluated after initial instruction and subsequent dedicated training. Scans were considered positive for hypoxia by visual assessment if ¹⁸F-FMISO uptake was greater than floor-of-mouth uptake. Additionally, SUV_max was determined to evaluate whether quantitative assessment using tumor-to-background ratios could be helpful to define hypoxia positivity. Results: Visual assessment produced a mean sensitivity and specificity of 77.3% and 80.9%, with fair interreader agreement ( = 0.34), after initial instruction. After dedicated training, mean sensitivity and specificity improved to 97.6% and 86.9%, with almost perfect agreement ( = 0.86). Quantitative assessment with an estimated best SUV_max ratio threshold of more than 1.2 to define hypoxia positivity produced a mean sensitivity and specificity of 56.8% and 95.9%, respectively, with substantial interreader agreement ( = 0.66), after initial instruction. After dedicated training, mean sensitivity improved to 89.6% whereas mean specificity remained high at 95.3%, with near-perfect interreader agreement ( = 0.86). Conclusion: Nuclear medicine physicians without ¹⁸F-FMISO hypoxia PET reading experience demonstrate much improved interreader agreement with dedicated training using specific interpretation criteria.

Turkey Is on the Road to a Severe Economic Crisis Expert comment sysadmin 12 July 2018

The deteriorating state of the economy is President Erdoğan’s Achilles’ heel and the biggest threat to his currently unrivalled leadership.

Fifteen days after Turkey’s parliamentary and presidential elections, Turkish President Recep Tayyip Erdoğan appointed a new government under radically enhanced executive powers granted by the constitution. He chose 16 loyalists and partisan figures to ensure that he remains front and centre in decision-making and policy formation.

Most notably, Erdoğan sacrificed the former deputy prime minister and ex-Merrill Lynch chief economist Mehmet Şimşek in favour of his inexperienced son-in-law Berat Albayrak as finance and treasury minister to manage the fragile economy. Whether he has the competence to placate jittery financial markets and foreign investors is debatable.

Erdoğan will prioritize short-term growth at all costs to the detriment of macroeconomic and financial stability. That entails foregoing interest rate hikes needed to contain runaway double-digit inflation and to support a plummeting lira that depreciated nearly 20 per cent this year. It also means loosening the purse strings, flooding the markets with cheap credit and sponsoring rampant construction and mega-infrastructure projects.

True to his promise, he has appropriated to himself, by presidential decree, the right to hire the central bank governor, deputies and monetary policy committee members for a four-year term. This completes the politicization of the once-respected and independent central bank and is in line with his unorthodox monetary views that higher interest rates equates with higher inflation.

Erdoğan associates progress with gleaming high-rise buildings, gargantuan infrastructure show-pieces and elevated growth rates. He is spiking the fuel to boost the speed of the sputtering mid-sized Audi-style Turkish economy to achieve superior Ferrari growth rates. As any mechanic knows, these tactics are unsustainable in the long term. Eventually, the engine will burn out.

He does not seem to appreciate that Turkey’s growth model requires an overhaul to join the league of rich economies. It is too reliant on consumer spending and government-sponsored infrastructure and construction projects funded by speculative financial flows rather than on sustained private investment and exports.

Net result: the corporate sector’s foreign-exchange liabilities have climbed to a record $328 billion as of the end of 2017. When netted against foreign-exchange assets, it is still a worrying $214 billion. Its US dollar and euro debt pile has more than doubled since 2008, 80 per cent of which is held by domestic banks. Given these acute balance-of-payments conditions, it is not farfetched that Turkey may impose capital controls in the short-to-medium term to restrict the outflow of foreign assets. At $50 billion, the current account deficit – defined as the sum of the trade balance and financial flows – is not even covered by the central bank’s net international reserves at nearly $45 billion.

Unsurprisingly, some major Turkish companies are negotiating with their bondholders to restructure their sizeable foreign loan obligations as lira devaluation increases the financial burden. Should a significant number of Turkish corporates default on their foreign obligations, this would reverberate across the Turkish economy, cause mass consumer panic, shake the confidence of international financial markets and potentially lead to a crisis within the Turkish financial system and to a deep and prolonged economic recession.

Revealingly, Erdoğan’s nationalist allies, the Nationalist Movement Party (MHP), refused to join his government. Perhaps Devlet Bahçeli, the MHP leader, learned the lessons of the 2001 financial crisis as a member of a three-party government. So he is opting to project influence from the outside, rather than risk being tainted with responsibility for an economic downturn.

Turkey’s president is doubling down on his singular approach to governance irrespective of the fallout. Notwithstanding his current political dominance, the deteriorating state of the economy is his Achilles’ heel and the biggest threat to his currently unrivalled leadership.

A Credit-fuelled Economic Recovery Stores Up Trouble for Turkey Expert comment sysadmin 17 February 2020

Turkey is repeating the mistakes that led to the 2018 lira crisis and another freefall for the currency may not be far off.

Since the 2018 economic crisis, when the value of the lira plummeted and borrowing costs soared, Turkey’s economy has achieved a miraculous ‘V-shaped’ economic recovery from a recession lasting three quarters to a return back to quarterly growth above 1 per cent in the first three months of 2019.

But this quick turnaround has been built on vast amounts of cheap credit used to re-stimulate a consumption and construction boom. This so-called ‘triple C’ economy generated a rapid growth spurt akin to a modestly able professional sprinter injected with steroids.

This has made the currency vulnerable. The lira has steadily depreciated by 11 per cent against the US dollar since the beginning of 2019 and crossed the rate of 6 lira versus the US dollar on 7 February. And there are further warning signs on the horizon.

Credit bonanza

Statistics reveal that Turkish domestic credit grew by around 13 per cent on average throughout 2019. The credit bonanza is still ongoing. Mortgage-backed home sales jumped by a record high of 600 per cent last December alone and the 2019 budget deficit catapulted by 70 per cent due to higher government spending.

Turkey’s central bank fuelled this credit expansion by cutting interest rates aggressively to below inflation and, since the start of this year, purchasing lira-denominated bonds equivalent to around one-third of total acquisitions last year to push yields lower.

Equally, it has linked bank lending to reserve requirements – the money that banks have to keep at the central bank – to boost borrowings via state and private banks. Banks with a ‘real’ loan growth (including inflation) of between 5 and 15 per cent enjoy a 2 per cent reserve ratio on most lira deposits, which authorities adjusted from an earlier band of 10-20 per cent that did not consider double-digit inflation.

Cumulatively, bond purchases (effectively quantitative easing) and reserve management policies have also contributed to eased credit conditions.

Commercial banks have also reduced deposit rates on lira accounts to less than inflation to encourage consumption over saving. Together with low lending rates, the boost to the economy has flowed via mortgages, credit card loans, vehicle leasing transactions and general business borrowings.

Accordingly, stimulus is at the forefront of the government’s economic approach, as it was in 2017 and 2018. It does not seem to be implementing structural change to re-orient growth away from consumption towards productivity.

In addition, governance is, again, a central issue. President Recep Tayyip Erdogan’s near total monopolization of policymaking means he guides all domestic and external policies. He forced out the previous central bank governor, Murat Cetinkaya, in July 2019 because he did not share the president’s desire for an accelerated pace of interest rate reductions.

New challenges

Despite the similarities, the expected future financial turbulence will be materially different from its 2018 predecessor in four crucial respects.

Firstly, foreign investors will only be marginally involved. Turkey has shut out foreign investors since 2018 from lira-denominated assets by restricting lira swap arrangements. Unsurprisingly, the non-resident holdings of lira bonds has plummeted from 20 per cent in 2018 to less than 10 per cent today.

Secondly, the Turkish government has recently introduced indirect domestic capital controls by constraining most commercial transactions to the lira rather than to the US dollar or euro to reduce foreign currency demand in light of short-term external debt obligations of $191 billion.

Thirdly, the Turkish state banks are intervening quite regularly to soften Lira volatility, thereby transitioning from a ‘free float’ to a ‘managed float’. So far, they have spent over $37 billion over the last two years in a futile effort to buttress the lira. This level of involvement in currency markets cannot be maintained.

Fourthly, the Turkish state is being far more interventionist in the Turkish stock exchange and bond markets to keep asset prices elevated. Government-controlled local funds have participated in the Borsa Istanbul and state banks in sovereign debt to sustain rallies or reverse a bear market.

All these measures have one running idea: exclude foreign investors and no crisis will recur. Yet, when the credit boom heads to a downturn sooner or later, Turks will probably escalate lira conversions to US dollars; 51 per cent of all Turkish bank deposits are already dollar-denominated and the figure is still rising.

If Turkey’s limited foreign reserves cannot satisfy the domestic dollar demand, the government may have to impose comprehensive capital controls and allow for a double digit depreciation in the value of the lira to from its current level, with significant repercussions on Turkey’s political stability and economic climate.

To avoid this scenario, it needs to restore fiscal and monetary prudence, deal the with the foreign debt overhang in the private sector and focus on productivity-improving economic and institutional reforms to gain the confidence of global financial markets and Turks alike.

Webinar: Turkey’s Challenging Post-COVID 19 Outlook 7 May 2020 — 1:00PM TO 2:00PM Anonymous (not verified) 17 April 2020

Turkey's Foreign Policy: The Perspective of the Main Opposition Party 5 November 2020 — 12:00PM TO 1:00PM Anonymous (not verified) 14 October 2020 Online

The Republican People’s Party (CHP), the main Turkish opposition party, is becoming a serious contender for a leading role in the country’s politics.

This is an online only event.

CHP’s mayoral candidates defeated the Justice and Development Party (AKP) incumbents in the 2019 local elections in Ankara and Istanbul, which held both cities for a quarter of a century. Its ascendency in Turkish politics is improving prospects for a CHP-led government after the next general election in 2023.

In this webinar, the speaker will share CHP’s stance on the country’s foreign policy towards key regional allies in Europe, as well as its take on relations with Russia, the US and Turkey’s position and role in the Middle East. Finally, the speaker will share how CHP’s external policy might differ from the ruling AKP. 

Turkey-Russia Relations: A Marriage of Convenience? 26 November 2020 — 12:00PM TO 1:30PM Anonymous (not verified) 17 November 2020 Chatham House

Speakers discuss the complex but, so far, durable ties between Putin and Erdogan and the perspectives of each leader. Other issues will include the impact of the Biden presidency and the unfolding situation in Nagorny Karabakh.

This is an online only event

Russia-Turkey relations are governed by a unique dynamic between presidents Vladimir Putin and Recep Tayyip Erdogan. They pursue contrasting objectives in Libya, the Eastern Mediterranean, Caucasus and Ukraine; yet they have managed to compartmentalize their differences to avoid any spill-over into diplomatic, military and economic cooperation.

Erdogan purchased the Russian S400 missile defence system at the cost of ejection from the US-led fourth generation F35 stealth fighter programme; and at the risk of sanctions by Washington. Russia is also proceeding with the construction of the Akkuyu Nuclear Power Plant near Turkey’s Mediterranean coast.

Turkey Needs Radical New Direction to Save the Economy Expert comment NCapeling 23 November 2020

Turkey should emulate the reformist approach it adopted after the 2001 crisis to prevent an economic and financial breakdown - but this looks highly unlikely.

Although Ankara has witnessed what appears to be an abrupt change of its top economic team with two fresh appointments to key positions – Naci Ağbal as governor of the central bank and Lütfi Elvan as finance and treasury minister – a cardinal rule of thumb in Turkish politics is that the more drama one sees, the less policy change there will actually be.

Financial markets reacted positively to the moves in the expectation they will signal a change of Turkey’s overall economic approach, but the reality is Turkish president Recep Tayyip Erdoğan is simply putting loyalists into key bureaucratic positions to help ensure the primary role of these functions becomes ‘selling’ his policies more effectively, rather than altering them.

The hope from the markets – which saw the beleaguered Turkish lira appreciate against the US dollar at the news – is that Turkey adopts substantial interest rate increases as well as measures to repress liquidity expansion in order to temper its controversial so-called ‘Triple C’ approach of using cheap credit to stimulate growth with an unsustainable consumption and construction boom.

But instead, Erdoğan’s declaration after the appointments were made indicates the new restrictions in which they will now operate, saying ‘we are in a historic struggle against those who want to force Turkey into modern capitulations through the shackles of interest rates, foreign exchange rates and inflation’.

Learn from past successes

To resolve its current underlying economic problems, Turkey should actually be looking to its recent past and aiming to emulate the approach pursued by former prime minister Bülent Ecevit during the 2001 financial crisis when he recruited Kemal Derviş, a senior World Bank official with extensive experience and international contacts in economic, financial, and monetary affairs.

As economy minister with a broad mandate to spearhead a durable economic recovery plan, Dervis established independent market regulatory agencies covering banking, telecommunications, energy, and other key sectors, and strengthened the competition authority.

He also either liquidated or merged insolvent banks, granted central bank autonomy to guarantee price stability, and ensured recruitment was based on competence, expertise, and meritocracy. Crucially, his productivity-enhancing restructuring blueprint was designed in Turkey rather than being imposed by the International Monetary Fund (IMF) or another external agency.

Ecevit also turbocharged reforms motivated in part by a desire to join the EU with constitutional, political and legal modernization which widened personal freedom, significantly curtailed capital punishment, liberalized the cultural environment for Kurds, and fortified the rule of law. And one of his coalition partners in that work, the right-wing pro-Turkish National Action Party (MHP), is now allied with the current ruling Justice and Development Party (AKP).

His foreign minister Ismail Cem also enhanced Turkey’s relations with both Europe and the US, initiated the so-called ‘earthquake diplomacy’ with his Greek counterpart George Papandreou after twin tragedies struck both nations in 1999, and largely avoided entanglement in Middle Eastern conflicts.

The net result of all these actions was that Turkey emerged from the crisis with greater resilience, a more robust regulatory framework, upgraded political and economic institutions, rapidly decreasing inflation, a credible central bank, a stronger financial system, closer relations with the EU and US, and heightened domestic and foreign investor confidence.

But now that similar woes are engulfing Turkey anew, is Erdogan and the AKP/MHP alliance able – and willing – to repeat the Ecevit recipe? Present signs indicate they are highly unlikely to as they are too committed to entrenching the Triple C model.

Although this model will likely further consolidate their power, it will also empty the civil service of qualified professionals, restrict civil liberties and freedoms, and create more ideological politics, affecting Turkey’s foreign policy.

Such a stubborn refusal to shift direction is increasing the inevitability of a deep economic and financial breakdown and so, unless Turkey undertakes a serious policy departure instead of continuing to resort to the quick fix approach, there is real likelihood it will simply accelerate towards disaster.

Turkey's foreign policy: The perspective of the İYİ Parti 25 January 2021 — 12:00PM TO 1:00PM Anonymous (not verified) 14 January 2021 Online

The centre-right İYİ Parti, the second largest opposition party in Turkey, is attracting voters from the governing alliance between the Justice and Development Party (AKP) and the pro-Turkish National Movement Party (MHP).

Please complete your registration on Zoom:

The İYİ Parti, which was set up in 2017, formed the Nation Alliance (Millet İttifakı) with the left-of-centre Republican People’s Party (CHP) and the pro-Islam Felicity Party (Saadet Partisi) in the 2018 parliamentary elections winning 43 seats in the Grand National Assembly.

In the 2019 municipal elections, the İYİ Parti’s alliance alliance with the CHP played an important role in enabling the latter’s candidates to become the mayors of Istanbul and Ankara after a quarter-century dominance by the ruling Justice and Development Party (AKP).

Its popularity has been rising steadily, according to recent polls. In this webinar, the speaker will outline the party’s viewpoint on the country’s foreign policy towards the European Union, as well as its perspectives on relations with Russia, the US, Iran and the Arab world. Finally, he will share the ways in which the İYİ Parti’s approach to external policy might differ from the ruling AKP.

Officials in Mexico and across Latin America are anxiously watching the outcome of Tuesday's U.S. Presidential contest in light of GOP candidate Donald Trump's campaign promise to "deport 11 million criminal aliens."

McKesson Medical-Surgical Inc. entered into an agreement with the Labor Department on Monday resolving employment discrimination issues involving nearly 900 Black, Hispanic, and White applicants at a distribution center

Amazon Prime Air drone deliveries are underway and delivering small packages within an hour in the West Valley of the Phoenix metro area.

Earlier this month, the United States and the Republic of Korea reached an agreement on greater cooperation on civil nuclear energy projects, the U.S. Department of Energy said this week.

Prognosticators anticipate the Federal Reserve on Thursday will announce a second rate cut after lowering the federal lending rate by 0.5% in September.

As Nissan on Thursday reported a roughly half-billion- dollar revenue drop in 2024, the Japanese automaker said it will cut 9,000 jobs and reduce manufacturing capacity by 20%.

The U.S. Food and Drug Administration has determined commonly used oral phenylephrine is "not effective" and has proposed its removal from over-the-counter nasal decongestants.

President-elect Donald Trump wants legal authorities to investigate what he said were possibly illegal rumors he is going to sell his majority stock stake in Trump Media. He claims he won't sell.

Private prison stocks soared Monday after President-elect Donald Trump announced immigration hardliner Tom Homan as the nation's next "border czar." GeoGroup jumped 4.5%, while CoreCivic increased 6.3%.

An additional five rhesus macaque monkeys that escaped from a South Carolina research facility last week have been recovered, meaning about a dozen of the rhesus macaque primates remain at large.

An explosion at a food-coloring factory in Louisville, Ky., hospitalized at least 11, including two in critical condition, on Tuesday afternoon.

President-elect Donald Trump announced Tuesday that Elon Musk and Vivek Ramaswamy will lead his administration's new Department of Government Efficiency, or DOGE, to end "government waste" and "slash excess regulations."

2025 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences - 102564 Division: AC-Computing Luis J. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area (https://cs.lbl.gov/) at Lawrence Berkeley National Laboratory (https://www.lbl.gov) is now accepting applications for two distinguished postdoctoral fellowships in Computing Sciences: • Luis W. Alvarez Postdoctoral Fellowship, and • Admiral Grace M. Hopper Postdoctoral Fellowship. Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. no earlier than January 1, 2022 but no later than September 30, 2025 are encouraged to apply. Only one (1) application is needed and it will be considered for both postdoctoral fellowships. The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, data science, and computational sciences. The Admiral Grace Hopper Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high performance computing (HPC) research. About Computing Sciences at Berkeley Lab: Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Labs Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: • Developing scientific applications and software technologies for extreme-scale and energy-efficient • Developing mathematical modeling for complex scientific problems • Designing algorithms to improve the performance of scientific applications • Researching digital and post-digital computer architectures for science • Developing and advancing extreme-scale scientific data management, analysis, and visualization • Developing and advancing next-generation machine learning, AI, and data science approaches for science • Advancing quantum computing and networking technologies, software, algorithms and applications • Evaluating or developing new and promising HPC systems and networking technologies • Researching methods to control and manage next-generation networks • Managing scientific data and workflows in distributed environments Qualifications: • Requires a Ph.D. in computer science, mathematics, computational science, or related discipline. • Candidates must have no more than 3 years of Postdoctoral Researcher or similar experience. • Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field. • Demonstrated creativity and the ability to perform independent research. • Demonstrated excellence in a related research field. • Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities. • Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders. Additional Desired Qualifications: • Knowledge of advanced computing and high-performance computing. Application Process: 1. As part of your application process, you must upload and submit the following materials with your online application. 1. Cover letter 2. CV, with publication list included 3. Research Statement (no more than five (5) pages in length when printed using standard letter-size (8.5 inch x 11 inch) paper with 1-inch margins (top, bottom, left, and right) and a font size not smaller than 11 point; figures and references cited, if included, must fit within the five-page limit) 4. Contact information (name, affiliation, and email address) of at least three (3) individuals who will be able to provide letters of reference. 2. Application deadline: October 31, 2024. * It is highly advisable that you have all the required application materials and information ready and available prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing. Tentative Application Timeline: The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received. • Application deadline: October 31, 2024 • Review and Selection: October 2024 - December 2024 • Decisions made: January/February 2025 Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov How To Apply Apply directly online at http://50.73.55.13/counter.php?id=290341 and follow the on-line instructions to complete the application process. Berkeley Lab is committed to inclusion, diversity, equity and accessibility and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Labs mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Equal Opportunity and IDEA Information Links: Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.