On June 25th, Rhode Island Governor Daniel McKee transmitted without signature (effectively a pocket veto) the Rhode Island Data Transparency and Privacy Protection Act (SB 2500 / HB 7787). The act is based on the Washington Privacy Act model but diverges from the prevalent forms of that model in two ways. First, the act contains a unique […]

Two former board chairs of the Coalition for Healthcare Communication (CHC) were named as the Medical Advertising Hall of Fame (MAHF) 2025 inductees – Sharon Callahan, former Chief Client Officer at Omnicom Health Group (OHG), and Nick Colucci, former Chairman and CEO of Publicis Health/COO of Publicis Groupe North America. The inductees will be honored […]

It is often said that medicine is both an art and a science. In an imperfect world this is both inevitable and desirable. But it is extremely important that the two should not be confused with each other. In particular, because the “science” side of the equation has achieved overwhelming prestige and authority, it is...

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<p>On 3^&nbsp;June 2024,&nbsp;Resolution&nbsp;RDC No. 876 was published in Brazil in the Official Journal of the Union (DOU)[1],&nbsp;modifying the current regulations regarding the post-registration of biological products (RDC 413/2020).</p>

<p> <b>23rd Regulatory Affairs Conference 202</b><b>5</b><br /> <b>27</b><b>‒</b><b>28 February 2025</b><br /> Hilton Amsterdam Airport Schiphol<br />Amsterdam, The Netherlands</p>

<p>In May 2024, Malaysia’s National Pharmaceutical Regulatory Agency (NPRA) announced that it will trial new timelines for variation applications&nbsp;of registered pharmaceutical products and natural health supplements (TMHS).</p>

<p>The European Commission (EC) granted marketing authorization for<b>&nbsp;</b>three ustekinumab biosimilars<b>:&nbsp;</b>Samsung Bioepis’ Eksunbi on 12 September 2024; Formycon’s Fymskina, and Fresenius Kabi’s&nbsp;Otulfi on 25 September 2024.</p>

<p> <b>Abstract</b><br />CinnaGen, the largest biopharmaceutical company in the MENA region, is a leader in developing follow-on biologicals/biosimilars. Dr&nbsp;Haleh Hamedifar, Chairperson of CinnaGen, spoke to GaBI<i>&nbsp;</i>(Generics and Biosimilars Initiative) about the company’s strategic focus, which includes expanding its product portfolio, entering highly regulated global markets, and advancing affordable treatments for conditions such as multiple sclerosis and&nbsp;immunological diseases—transforming healthcare in underserved regions.</p><p><b>Keywords</b>: Biosimilars, clinical development, commercialization, MENA</p>

The Royal Pharmaceutical Society and the British Pharmaceutical Students’ Association have called for all overseas candidates to sit the March 2021 registration assessment in their home countries.

The Pharmaceutical Services Negotiating Committee is in talks with the government over potential plans to distribute COVID-19 treatments in primary care.

The General Pharmaceutical Council has said it is “double, treble, quadruple-checking” for any “flexibility” that would allow all overseas candidates to sit the March 2021 registration assessment exam in their countries of residence.

Starting COVID-19 patients on prophylactic anticoagulation within 24 hours of being admitted to hospital has been linked to a reduced risk of mortality.

The latest information about the novel coronavirus identified in Wuhan, China, and advice on how pharmacists can help concerned patients and the public.

The type 2 diabetes mellitus drug semaglutide is effective for weight loss in non-diabetic overweight or obese adults, when taken alongside a reduced-calorie diet and exercise, researchers have found.

The General Pharmaceutical Council has said most candidates living in countries with a two-hour or more time difference from the UK will be able to apply to sit the registration assessment at home.

Community pharmacies able to administer up to 400 COVID-19 vaccines per week can now apply to become designated vaccination sites, NHS England has said.

Pharmacy negotiators have discussed proposals to take “a patient registration-based approach” to the community pharmacy contractual framework.

By Haojing Rong and Aimee Raleigh, as part of the From The Trenches feature of LifeSciVC This blog post is the second in a series on key diligence concepts and questions. If you missed the intro blog post yesterday, click

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Novartis recently announced the acquisition of Mariana Oncology, an emerging biotech focused on advancing a radioligand therapeutics platform, for up to $1.75 billion in upfronts and future milestones. The capstone of its three short years of operations, this acquisition represents

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By Ankit Mahadevia, former CEO of Spero Therapeutics, as part of the From The Trenches feature of LifeSciVC Drug development is complex. So is running a business. Sometimes, the work of doing both can make your head spin. In my

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By Robert Clarke, CEO of Kinaset Therapeutics, as part of the From The Trenches feature of LifeSciVC Strategic considerations of when and how to consider raising additional capital to support clinical development in an improving but still volatile market. As

The post To B or Not to (Series) B appeared first on LifeSciVC.

Having just turned 50, I’ve been reflecting on my first half-century of late… many fun and impactful moments, a few regrets, and a life I’ve tried to live to the fullest. One thread that has run throughout it has been

The post A Molecular Biologist’s Advice For Life appeared first on LifeSciVC.

By Mike Cloonan, Chief Executive Officer of Sionna Therapeutics, as part of the From The Trenches feature of LifeSciVC The drug development process in rare diseases is rife with challenges especially when companies target significant differentiation or first-in-class targets. Identifying

The post Looking for Opportunities to Accelerate Clinical Research in Rare Diseases appeared first on LifeSciVC.

By Ankit Mahadevia, chairman of Spero Therapeutics, as part of the From The Trenches feature of LifeSciVC A common theme in startup literature is that by cutting a range of unnecessary tasks, a step-change in results will follow.  I’ve found

The post Keeping It Simple: What Really Matters For Emerging Enterprises   appeared first on LifeSciVC.

Today’s market likes products. Platforms aren’t in vogue anymore. Investors, especially in the public markets, only want late stage de-risked assets. Pharma only seems to be buying these kinds of asset. VCs need to focus on clinical stage companies. Or

The post Biotech Risk Cycles: Assets And Platforms appeared first on LifeSciVC.

The UK body that oversees health research is writing a new strategy on clinical trial transparency and it wants to hear opinions on it. The Health Research Authority (HRA) says its strategy aims to “make transparency easy, make compliance clear and make information public.” It has opened a public consultation on the strategy and some […]

An AllTrials report for the House of Commons Science and Technology Select Committee this week has found that 33 NHS trust sponsors and six UK universities are reporting none of their clinical trial results, while others have gone from 0% to 100% following an announcement from the Select Committee in January that universities and NHS […]

New research has shown that the majority of clinical trials which should be following the US law on reporting results aren’t. Less than half (41%) of clinical trial results were reported on time and 1 in 3 trials (36%) remain unreported. The research also found that clinical trials sponsored by companies are the most likely […]

Results reporting requirements are pretty clear. Maybe critics should re-check their methods?

Ben Goldacre has rather famously described the clinical trial reporting requirements in the Food and Drug Administration Amendments Act of 2007 as a “fake fix” that was being thoroughly “ignored” by the pharmaceutical industry.

Pharma: breaking the law in broad daylight?

He makes this sweeping, unconditional proclamation about the industry and its regulators on the basis of  a single study in the BMJ, blithely ignoring the fact that a) the authors of the study admitted that they could not adequately determine the number of studies that were meeting FDAAA requirements and b) a subsequent FDA review that identified only 15 trials potentially out of compliance, out of a pool of thousands.


Despite the fact that the FDA, which has access to more data, says that only a tiny fraction of studies are potentially noncompliant, Goldacre's frequently repeated claims that the law is being ignored seems to have caught on in the general run of journalistic and academic discussions about FDAAA.

And now there appears to be additional support for the idea that a large percentage of studies are noncompliant with FDAAA results reporting requirements, in the form of a new study in the Journal of Clinical Oncology: "Public Availability of Results of Trials Assessing Cancer Drugs in the United States" by Thi-Anh-Hoa Nguyen, et al.. In it, the authors report even lower levels of FDAAA compliance – a mere 20% of randomized clinical trials met requirements of posting results on clinicaltrials.gov within one year.

Unsurprisingly, the JCO results were immediately picked up and circulated uncritically by the usual suspects.

I have to admit not knowing much about pure academic and cooperative group trial operations, but I do know a lot about industry-run trials – simply put, I find the data as presented in the JCO study impossible to believe. Everyone I work with in pharma trials is painfully aware of the regulatory environment they work in. FDAAA compliance is a given, a no-brainer: large internal legal and compliance teams are everywhere, ensuring that the letter of the law is followed in clinical trial conduct. If anything, pharma sponsors are twitchily over-compliant with these kinds of regulations (for example, most still adhere to 100% verification of source documentation – sending monitors to physically examine every single record of every single enrolled patient - even after the FDA explicitly told them they didn't have to).

I realize that’s anecdotal evidence, but when such behavior is so pervasive, it’s difficult to buy into data that says it’s not happening at all. The idea that all pharmaceutical companies are ignoring a highly visible law that’s been on the books for 6 years is extraordinary. Are they really so brazenly breaking the rules? And is FDA abetting them by disseminating incorrect information?

Those are extraordinary claims, and would seem to require extraordinary evidence. The BMJ study had clear limitations that make its implications entirely unclear. Is the JCO article any better?

Some Issues

In fact, there appear to be at least two major issues that may have seriously compromised the JCO findings:

1. Studies that were certified as being eligible for delayed reporting requirements, but do not have their certification date listed.

The study authors make what I believe to be a completely unwarranted assumption:

In trials for approval of new drugs or approval for a new indication, a certification [permitting delayed results reporting] should be posted within 1 year and should be publicly available.

It’s unclear to me why the authors think the certifications “should be” publicly available. In re-reading FDAAA section 801, I don’t see any reference to that being a requirement. I suppose I could have missed it, but the authors provide a citation to a page that clearly does not list any such requirement.

But their methodology assumes that all trials that have a certification will have it posted:

If no results were posted at ClinicalTrials.gov, we determined whether the responsible party submitted a certification. In this case, we recorded the date of submission of the certification to ClinicalTrials.gov.

If a sponsor gets approval from FDA to delay reporting (as is routine for all drugs that are either not approved for any indication, or being studied for a new indication – i.e., the overwhelming majority of pharma drug trials), but doesn't post that approval on the registry, the JCO authors deem that trial “noncompliant”. This is not warranted: the company may have simply chosen not to post the certification despite being entirely FDAAA compliant.

2. Studies that were previously certified for delayed reporting and subsequently reported results

It is hard to tell how the authors treated this rather-substantial category of trials. If a trial was certified for delayed results reporting, but then subsequently published results, the certification date becomes difficult to find. Indeed, it appears in the case where there were results, the authors simply looked at the time from study completion to results posting. In effect, this would re-classify almost every single one of these trials from compliant to non-compliant. Consider this example trial:

• Phase 3 trial completes January 2010
• Certification of delayed results obtained December 2010 (compliant)
• FDA approval June 2013
• Results posted July 2013 (compliant)

In looking at the JCO paper's methods section, it really appears that this trial would be classified as reporting results 3.5 years after completion, and therefore be considered noncompliant with FDAAA. In fact, this trial is entirely kosher, and would be extremely typical for many phase 2 and 3 trials in industry.

Time for Some Data Transparency

The above two concerns may, in fact, be non-issues. They certainly appear to be implied in the JCO paper, but the wording isn't terribly detailed and could easily be giving me the wrong impression.

However, if either or both of these issues are real, they may affect the vast majority of "noncompliant" trials in this study. Given the fact that most clinical trials are either looking at new drugs, or looking at new indications for new drugs, these two issues may entirely explain the gap between the JCO study and the unequivocal FDA statements that contradict it.

I hope that, given the importance of transparency in research, the authors will be willing to post their data set publicly so that others can review their assumptions and independently verify their conclusions. It would be more than a bit ironic otherwise.
Thi-Anh-Hoa Nguyen, Agnes Dechartres, Soraya Belgherbi, and Philippe Ravaud (2013). Public Availability of Results of Trials Assessing Cancer Drugs in the United States JOURNAL OF CLINICAL ONCOLOGY DOI: 10.1200/JCO.2012.46.9577

1. Misstated an odds ratio of 4 as “4 times more likely to”
2. Overstated the recruitment success findings as being based on a sample 3 times larger than it actually was
3. Re-interpreted, without reservation, a statistical association as a causal relationship
4. Misstated the difference between the patient involvement categories as being a matter of merely “involving just one or two patients in the study team”

And you did these consistently and repeatedly – in Dr Wykes's blog post, in the KCL press release, and in the NIHR-written Guardian article.

• How to Catalyze a Clinical Trial - My inaugural post introducing the blog and its purpose
• Video: Predicting Referral Conversion in Clinical Trial Advertising - A somewhat technical but very important topic, how to visualize and model the “real time” results of recruitment advertising at the sites.
• The Crystal Ball is on the Fritz - What to do with a broken enrollment feasibility process, and how asking will never be as good as measuring

• The New Breed of Clinical Trial Matchmakers - A (hopefully pretty complete, thanks to knowledgeable commenters) listing of services looking to match interested patients to clinical trials
• Rethinking Patient Enrollment, in One Graphic - The perils of predictability in site-based enrollment
• Seize the Data! Will Big Data Save Us from Ourselves? - My take on what I consider to be the large and serious obstacles in the way of “Big Data” solutions for patient recruitment

Please take a look, and I will see you back here soon.

[Photo credit: detour sign via Flikr user crossley]

On this date 349 years ago, Samuel Pepys relates in his famous diary a remarkable story about an upcoming medical experiment. As far as I can tell, this is the first written description of a paid research subject.

According to his account, the man (who he describes as “a little frantic”) was to be paid to undergo a blood transfusion from a sheep. It was hypothesized that the blood of this calm and docile animal would help to calm the man.

Some interesting things to note about this experiment:

• Equipoise. There is explicit disagreement about what effect the experimental treatment will have: according to Pepys, "some think it may have a good effect upon him as a frantic man by cooling his blood, others that it will not have any effect at all".
• Results published. An account of the experiment was published just two weeks later in the journal Philosophical Transactions. 
• Medical Privacy. In this subsequent write-up, the research subject is identified as Arthur Coga, a former Cambridge divinity student. According to at least one account, being publicly identified had a bad effect on Coga, as people who had heard of him allegedly succeeded in getting him to spend his stipend on drink (though no sources are provided to confirm this story).
• Patient Reported Outcome. Coga was apparently chosen because, although mentally ill, he was still considered educated enough to give an accurate description of the treatment effect. 

Depending on your perspective, this may also be a very early account of the placebo effect, or a classic case of ignoring the patient’s experience. Because even though his report was positive, the clinicians remained skeptical. From the journal article:

The Man after this operation, as well as in it, found himself very well, and hath given in his own Narrative under his own hand, enlarging more upon the benefit, he thinks, he hath received by it, than we think fit to own as yet.

…and in fact, a subsequent diary entry from Pepys mentions meeting Coga, with similarly mixed impressions: “he finds himself much better since, and as a new man, but he is cracked a little in his head”.

The amount Coga was paid for his participation? Twenty shillings – at the time, that was exactly one Guinea.

[Image credit: Wellcome Images]

Your daily light exposure impacts your health. A new study finds that too much light at night and not enough natural light during the day can be harmful. This story first aired on Morning Edition on Nov. 4, 2024.

Hospitals have been forced to innovate with new ways of hydrating patients and giving them medications, after a key factory that produces IV fluid bags flooded during Hurricane Helene. (This story first aired on Morning Edition on Nov. 7, 2024.)

A person has tested positive in British Columbia, Canadian health officials said, though the results must be sent to another lab for confirmation.

President-elect Donald Trump tried unsuccessfully to get rid of the Affordable Care Act during his first term. What action will he take this time around?

More people are getting cancer in their 20s, 30s, and 40s, and surviving, thanks to rapid advancement in care. Many will have decades of life ahead of them, which means they face greater and more complex challenges in survivorship. Lourdes Monje is navigating these waters at age 29.

Participant reported relief from chronic low back pain and reduced need for pain-relief medications.

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Sweat: We all do it. It plays an essential role in controlling body temperature by cooling the skin through evaporation. But it can also carry salts and other molecules out of the body in the process. In medieval Europe, people would lick babies; if the skin was salty, they knew that serious illness was likely. (We now know that salty skin can be an indicator for cystic fibrosis.)

Scientists continue to study how the materials in sweat can reveal details about an individual’s health, but often they must rely on gathering samples from subjects during strenuous exercise in order to get samples that are sufficiently large for analysis.

Now researchers in China have developed a wearable sensor system that can collect and process small amounts of sweat while providing continuous detection. They have named the design a “skin-interfaced intelligent graphene nanoelectronic” patch, or SIGN for short. The researchers, who described their work in a paper published in Advanced Functional Materials, did not respond to IEEE Spectrum’s interview requests.

The SIGN sensor patch relies on three separate components to accomplish its task. First, the sweat must be transported from the skin into microfluidic chambers. Next, a special membrane removes impurities from the fluid. Finally, this liquid is delivered to a bioreceptor that can be tuned to detect different metabolites.

The transport system relies on a combination of hydrophilic (water-attracting) and hydrophobic (water-repelling) materials. This system can move aqueous solutions along microchannels, even against gravity. This makes it possible to transport small samples with precision, regardless of the device’s orientation.

The fluid is transported to a Janus membrane, where impurities are blocked. This means that the sample that reaches the sensor is more likely to produce accurate results.

Finally, the purified sweat arrives at a flexible biosensor. This graphene sensor is activated by enzymes designed to detect the desired biomarker. The result is a transistor that can accurately measure the amount of the biomarker in the sample.

At its center, the system has a membrane that removes impurities from sweat and a biosensor that detects biomarkers.Harbin Institute of Technology/Shenyang Aerospace University

One interesting feature of the SIGN patch is that it can provide continuous measurements. The researchers tested the device through multiple cycles of samples with known concentrations of a target biomarker, and it was about as accurate after five cycles as it was after just one. This result suggests that it could be worn over an extended period without having to be replaced.

Continuous measurements can provide useful longitudinal data. However, Tess Skyrme, a senior technology analyst at the research firm IDTechEx, points out that continuous devices can have very different sampling rates. “Overall, the right balance of efficient, comfortable, and granular data collection is necessary to disrupt the market,” she says, noting that devices also need to optimize “battery life, calibration, and data accuracy.”

The researchers have focused on lactate—a metabolite that can be used to assess a person’s levels of exercise and fatigue—as the initial biomarker to be detected. This function is of particular interest to athletes, but it can also be used to monitor the health status of workers in jobs that require strenuous physical activity, especially in hazardous or extreme working conditions.

Not all experts are convinced that biomarkers in sweat can provide accurate health data. Jason Heikenfeld, director of the Novel Device Lab at the University of Cincinnati, has pivoted his research on wearable biosensing from sweat to the interstitial fluid between blood vessels and cells. “Sweat glucose and lactate are way inferior to measures that can be made in interstitial fluid with devices like glucose monitors,” he tells Spectrum.

The researchers also developed a package to house the sensor. It’s designed to minimize power consumption, using a low-power microcontroller, and it includes a Bluetooth communications chip to transmit data wirelessly from the SIGN patch. The initial design provides for 2 hours of continuous use without charging, or up to 20 hours in standby mode.

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.

Sea turtles are remarkable creatures for a number of reasons, including the way they hear underwater—not through openings in the form of ears, but by detecting vibrations directly through the skin covering their auditory system. Inspired by this ability to detect sound through skin, researchers in China have created a heart-monitoring system, which initial tests in humans suggest may be a viable for monitoring heartbeats.

A key way in which doctors monitor heart health involves “listening” to the heartbeat, either using a stethoscope or more sophisticated technology, like echocardiograms. However, these approaches require a visit to a specialist, and so researchers have been keen to develop alternative, lower cost solutions that people can use at home, which could also allow for more frequent testing and monitoring.

Junbin Zang, a lecturer at the North University of China, and his colleagues specialize in creating heart-monitoring technologies. Their interest was piqued when they learned about the inner workings of the sea turtle’s auditory system, which is able to detect low-frequency signals, especially in the 300- to 400-hertz range.

“Heart sounds are also low-frequency signals, so the low-frequency characteristics of the sea turtle’s ear have provided us with great inspiration,” explains Zang.

At a glance, it looks like turtles don’t have ears. Their auditory system instead lies under a layer of skin and fat, through which it picks up vibrations. As with humans, a small bone in the ear vibrates as sounds hit it, and as it oscillates, those pulses are converted to electrical signals that are sent to the brain for processing and interpretation.

iStock

But sea turtles have a unique, slender T-shaped conduit that encapsulates their ear bones, restricting the movement of the similarly T-shaped ear bones to only vibrate in a perpendicular manner. This design provides their auditory system with high sensitivity to vibrations.

Zang and his colleagues set out to create a heart monitoring system with similar features. They created a T-shaped heart-sound sensor that imitates the ear bones of sea turtles using a tiny MEMS cantilever beam sensor. As sound hits the sensor, the vibrations cause deformations in its beam, and the fluctuations in the voltage resistance are then translated into electrical signals.

The researchers first tested the sensor’s ability to detect sound in lab tests, and then tested the sensor’s ability to monitor heartbeats in two human volunteers in their early 20s. The results, described in a study published 1 April in IEEE Sensors Journal, show that the sensor can effectively detect the two phases of a heartbeat.

“The sensor exhibits excellent vibration characteristics,” Zang says, noting that it has a higher vibration sensitivity compared to other accelerometers on the market.

However, the sensor currently picks up a significant amount of background noise, which Zang says his team plans to address in future work. Ultimately, they are interested in integrating this novel bioinspired sensor into devices they have previously created—including portable handheld and wearable versions, and a relatively larger version for use in hospitals—for the simultaneous detection of electrocardiogram and phonocardiogram signals.

This article appears in the July 2024 print issue as “Sea Turtles Inspire Heart-Monitor Design.”

Elemind, a 5-year-old startup based in Cambridge, Mass., today unveiled a US $349 wearable for neuromodulation, the company’s first product. According to cofounder and CEO Meredith Perry, the technology tracks the oscillation of brain waves using electroencephalography (EEG) sensors that detect the electrical activity of the brain and then influence those oscillations using bursts of sound delivered via bone conduction.

Elemind’s first application for this wearable aims to suppress alpha waves to help induce sleep. There are other wearables on the market that monitor brain waves and, through biofeedback, encourage users to actively modify their alpha patterns. Elemind’s headband appears to be the first device to use sound to directly influence the brain waves of a passive user.

In a clinical trial, says Perry [no relation to author], 76 percent of subjects fell asleep more quickly. Those who did see a difference averaged 48 percent less time to progress from awake to asleep. The results were similar to those of comparable trials of pharmaceutical sleep aids, Perry indicated.

“For me,” Perry said, “it cuts through my rumination, quiets my thinking. It’s like noise cancellation for the brain.”

I briefly tested Elemind’s headband in May. I found it comfortable, with a thick cushioned band that sits across the forehead connected to a stretchy elastic loop to keep it in place. In the band are multiple EEG electrodes, a processor, a three-axis accelerometer, a rechargeable lithium-polymer battery, and custom electronics that gather the brain’s electrical signals, estimate their phase, and generate pink noise through a bone-conduction speaker. The whole thing weighs about 60 grams—about as much as a small kiwi fruit.

My test conditions were far from optimal for sleep: early afternoon, a fairly bright conference room, a beanbag chair as bed, and a vent blowing. And my test lasted just 4 minutes. I can say that I didn’t find the little bursts of pink noise (white noise without the higher frequencies) unpleasant. And since I often wear an eye mask, feeling fabric on my face wasn’t disturbing. It wasn’t the time or place to try for sound sleep, but I—and the others in the room—noted that after 2 minutes I was yawning like crazy.

How Elemind tweaks brain waves

What was going on in my brain? Briefly, different brain states are associated with different frequencies of waves. Someone who is relaxed with eyes closed but not asleep produces alpha waves at around 10 hertz. As they drift off to sleep, the alpha waves are supplanted by theta waves, at around 5 Hz. Eventually, the delta waves of deep sleep show up at around 1 Hz.

Ryan Neely, Elemind’s vice president of science and research, explains: “As soon as you put the headband on,” he says, “the EEG system starts running. It uses straightforward signal processing with bandpass filtering to isolate the activity in the 8- to 12-Hz frequency range—the alpha band.”

“Then,” Neely continues, “our algorithm looks at the filtered signal to identify the phase of each oscillation and determines when to generate bursts of pink noise.”

To help a user fall asleep more quickly [top], bursts of pink noise are timed to generate a brain response that is out of phase with alpha waves and so suppresses them. To enhance deep sleep [bottom], the pink noise is timed to generate a brain response that is in phase with delta waves.Source: Elemind

These auditory stimuli, he explains, create ripples in the waves coming from the brain. Elemind’s system tries to align these ripples with a particular phase in the wave. Because there is a gap between the stimulus and the evoked response, Elemind tested its system on 21 people and calculated the average delay, taking that into account when determining when to trigger a sound.

To induce sleep, Elemind’s headband targets the trough in the alpha wave, the point at which the brain is most excitable, Neely says.

“You can think of the alpha rhythm as a gate for communication between different areas of the brain,” he says. “By interfering with that communication, that coordination between different brain areas, you can disrupt patterns, like the ruminations that keep you awake.”

With these alpha waves suppressed, Neely says, the slower oscillations, like the theta waves of light sleep, take over.

Elemind doesn’t plan to stop there. The company plans to add an algorithm that addresses delta waves, the low-frequency 0.5- to 2-Hz waves characteristic of deep sleep. Here, Elemind’s technology will attempt to amplify this pattern with the intent of improving sleep quality.

Is this safe? Yes, Neely says, because auditory stimulation is self-limiting. “Your brain waves have a natural space they can occupy,” he explains, “and this stimulation just moved it within that natural space, unlike deep-brain stimulation, which can move the brain activity outside natural parameters.”

Going beyond sleep to sedation, memory, and mental health

Applications may eventually go beyond inducing and enhancing sleep. Researchers at the University of Washington and McGill University have completed a clinical study to determine if Elemind’s technology can be used to increase the pain threshold of subjects undergoing sedation. The results are being prepared for peer review.

Elemind is also working with a team involving researchers at McGill and the Leuven Brain Institute to determine if the technology can enhance memory consolidation in deep sleep and perhaps have some usefulness for people with mild cognitive impairment and other memory disorders.

Neely would love to see more applications investigated in the future.

“Inverse alpha stimulation [enhancing instead of suppressing the signal] could increase arousal,” he says. “That’s something I’d love to look into. And looking into mental-health treatment would be interesting, because phase coupling between the different brain regions appears to be an important factor in depression and anxiety disorders.”

Perry, who previously founded the wireless power startup UBeam, cofounded Elemind with four university professors with expertise in neuroscience, optogenetics, biomedical engineering, and artificial intelligence. The company has $12 million in funding to date and currently has 13 employees.

Preorders at $349 start today for beta units, and Elemind expects to start general sales later this year. The company will offer customers an optional membership at $7 to $13 monthly that will allow cloud storage of sleep data and access to new apps as they are released.