Bill MacDonnell's paintings are on display at the Military Museums in Calgary through Remembrance Day and into 2025.

Une ado qui aurait été enlevée de force par ses propres frères était en panique et criait d’appeler le 911, selon un témoin appelé au procès.

The national chief of the Assembly of First Nations says the International Criminal Court should investigate the disappearance of Indigenous children from Canadian residential schools.

A phone app that allows people to videochat in groups of up to eight has become a huge hit.

APPLE could be set to make its biggest new product announcement since the iPhone, with the company believed to be working on a game changer.

KOROROIT MP Marlene Kairouz will become Victoria’s new minister for consumer affairs, gambling and liquor regulation.

A court throws out a ruling that the gas and oil giant cut its greenhouse gas emissions.

The ex-senator launches a last-ditch bid against a bankruptcy ruling, hoping to regain the seat he officially lost yesterday.

The Department of Pharmaceuticals (DoP) has upheld the retail price fixation of National Pharmaceutical Pricing Authority (NPPA) for Mumbai─based Aristo Pharmaceuticals for its multivitamin tablets with

The Subject Expert Committee (SEC), which advises the national drug regulator on approval of new drugs and clinical trials, has recommended grant of market authorisation for Dr Reddy's Laboratories' Siponimod

The Subject Expert Committee (SEC), which advises the national drug regulator on matters related to approval of new drugs and medical devices and clinical trials, has recommended grant of market authorisation for

Joe Anderson, product and promotional marketing manager at Harland, explores the role of surface preparation in the application of hydrophilic and hydrophobic coatings.

The Martian new year arrives with the Red Planet’s vernal equinox. Explaining why requires a deep dive into celestial mechanics and Earth’s calendrical history

Today’s guest post comes from Angie Franks, Chief Executive Officer of Kalderos.

Angie discusses how the Maximum Fair Price provision of the Inflation Reduction Act of 2022 will challenge providers, pharmacies, and manufacturers. She explains how Kalderos’ Truzo platform could reduce duplicate claims and address compliance issues.

To learn more, register for Kalderos’ October 25 webinar Cracking the MFP Code: How Flexible Technology Helps You Navigate an Evolving Landscape.

Read on for Angie’s insights.
Read more »

A new survey of plan sponsors sheds light on their satisfaction with transparency at large and small pharmacy benefit managers (PBMs).

As you will see, clients remain slightly more satisfied with the perceived transparency of smaller PBMs compared with the Big Three PBMs—CVS Caremark, Express Scripts, and Optum Rx.

However, plan sponsors are dissatisfied with transparency about how both large and small PBMs make money. Smaller PBMs have an edge, but it’s narrower than you might think.

Perhaps PBMs’ clients are unable or unwilling to negotiate better deals, write more effective contracts, and switch to more satisfying relationships. Or maybe they don’t mind the current system, despite the challenges for patients. Some argue that transparency could swoop down to solve this problem. Riddle me this: Should we watch what plan sponsors say, or what they do?

Read on to see what you think of my arguments below. Then, click here to share your thoughts with the Drug Channels community.
Read more »

The U.S. Food and Drug Administration posted a video:

What happens after a drug is approved? And how and why do drug recalls happen? Learn more in this short video from FDA’s Center for Drug Evaluation and Research (CDER).

The U.S. Food and Drug Administration posted a video:

What happens after a drug is approved? And how and why do drug recalls happen? Learn more in this short video from FDA’s Center for Drug Evaluation and Research (CDER).

The U.S. Food and Drug Administration posted a video:

Prescription drugs go through many steps and phases before they’re approved by the FDA, from research to clinical trials. What does this process look like from beginning to end? Learn more in this short video from FDA’s Center for Drug Evaluation and Research (CDER).

The U.S. Food and Drug Administration posted a video:

Prescription drugs go through many steps and phases before they’re approved by the FDA, from research to clinical trials. What does this process look like from beginning to end? Learn more in this short video from FDA’s Center for Drug Evaluation and Research (CDER).

<p>On 19&nbsp;September 2024, the European Medicines Agency’s (EMA) Committee for Medicinal Products for Human Use (CHMP)&nbsp;adopted a positive opinion,&nbsp;recommending the granting of marketing authorization&nbsp;for&nbsp;two aflibercept biosimilars:&nbsp;&nbsp;Sandoz’s Afqlir and Samsung Bioepis’s Opuviz.&nbsp;These products are biosimilars of the reference product Eylea, developed by Regeneron and Bayer.</p>

<p>The US Food and Drug Administration (FDA) granted approval for two&nbsp;biosimilars, Formycon’s FYB202/Otulfi (ustekinumab-aauz) and Samsung Bioepis’ Soliris biosimilar, Epysqli (eculizumab-aagh), on 27 September and 22 July 2024, respectively. FYB202/Otulfi, a biosimilar referencing&nbsp;Johnson &amp; Johnson’s Stelara, while Epysqli is a biosimilar referencing Alexion’s Soliris.</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>

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.

By Aimee Raleigh, Principal at Atlas Venture, as part of the From The Trenches feature of LifeSciVC Ever wondered what goes into diligencing a new idea, program, company, or platform? While each diligence is unique and every investor will have

The post Deconstructing the Diligence Process: An Approach to Vetting New Product Theses appeared first on LifeSciVC.

By Ivana Magovčević-Liebisch, CEO of Vigil Neuroscience, as part of the From The Trenches feature of LifeSciVC In the last decade, our industry has made great strides in combating cancer by harnessing the body’s own immune system. As it was

The post Neuro-Immunology: The Promise Of A Differentiated Approach To Neurodegenerative Disease appeared first on LifeSciVC.

“Children are not small adults.” We invoke this saying, in a vague and hand-wavy manner, whenever we talk about the need to study drugs in pediatric populations. It’s an interesting idea, but it really cries out for further elaboration. If they’re not small adults, what are they? Are pediatric efficacy and safety totally uncorrelated with adult efficacy and safety? Or are children actually kind of like small adults in certain important ways?

Pediatric post-marketing studies have been completed for over 200 compounds in the years since BPCA (2002, offering a reward of 6 months extra market exclusivity/patent life to any drug conducting requested pediatric studies) and PREA (2007, giving FDA power to require pediatric studies) were enacted. I think it is fair to say that at this point, it would be nice to have some sort of comprehensive idea of how FDA views the risks associated with treating children with medications tested only on adults. Are they in general less efficacious? More? Is PK in children predictable from adult studies a reasonable percentage of the time, or does it need to be recharacterized with every drug?

Essentially, my point is that BPCA/PREA is a pretty crude tool: it is both too broad in setting what is basically a single standard for all new adult medications, and too vague as to what exactly that standard is.

In fact, a 2008 published review from FDA staffers and a 2012 Institute of Medicine report both show one clear trend: in a significant majority of cases, pediatric studies resulted in validating the adult medication in children, mostly with predictable dose and formulation adjustments (77 of 108 compounds (71%) in the FDA review, and 27 of 45 (60%) in the IOM review, had label changes that simply reflected that use of the drug was acceptable in younger patients).

So, it seems, most of the time, children are in fact not terribly unlike small adults.

But it’s also true that the percentages of studies that show lack of efficacy, or bring to light a new safety issue with the drug’s use in children, is well above zero. There is some extremely important information here.

To paraphrase John Wanamaker: we know that half our PREA studies are a waste of time; we just don’t know which half.

This would seem to me to be the highest regulatory priority – to be able to predict which new drugs will work as expected in children, and which may truly require further study. After a couple hundred compounds have gone through this process, we really ought to be better positioned to understand how certain pharmacological properties might increase or decrease the risks of drugs behaving differently than expected in children. Unfortunately, neither the FDA nor the IOM papers venture any hypotheses about this – both end up providing long lists of examples of certain points, but not providing any explanatory mechanisms that might enable us to engage in some predictive risk assessment.

While FDASIA did not advance PREA in terms of more rigorously defining the scope of pediatric requirements (or, better yet, requiring FDA to do so), it did address one lingering concern by requiring that FDA publish non-compliance letters for sponsors that do not meet their commitments. (PREA, like FDAAA, is a bit plagued by lingering suspicions that it’s widely ignored by industry.)

The first batch of letters and responses has been published, and it offers some early insights into the problems engendered by the nebulous nature of PREA and its implementation.

These examples, unfortunately, are still a bit opaque – we will need to wait on the FDA responses to the sponsors to see if some of the counter-claims are deemed credible. In addition, there are a few references to prior deferral requests, but the details of the request (and rationales for the subsequent FDA denials) do not appear to be publicly available. You can read FDA’s take on the new postings on their blog, or in the predictably excellent coverage from Alec Gaffney at RAPS.

Looking through the first 4 drugs publicly identified for noncompliance, the clear trend is that there is no trend. All these PREA requirements have been missed for dramatically different reasons.

Here’s a quick rundown of the drugs at issue – and, more interestingly, the sponsor responses:

1. Renvela - Genzyme (full response)

Genzyme appears to be laying responsibility for the delay firmly at FDA’s feet here, basically claiming that FDA continued to pile on new requirements over time:

Genzyme’s correspondence with the FDA regarding pediatric plans and design of this study began in 2006 and included a face to face meeting with FDA in May 2009. Genzyme submitted 8 revisions of the pediatric study design based on feedback from FDA including that received in 4 General Advice Letters. The Advice Letter dated February 17, 2011  contained further recommendations on the study design, yet still required the final clinical study report  by December 31, 2011.

This highlights one of PREA’s real problems: the requirements as specified in most drug approval letters are not specific enough to fully dictate the study protocol. Instead, there is a lot of back and forth between the sponsor and FDA, and it seems that FDA does not always fully account for their own contribution to delays in getting studies started.

2. Hectorol - Genzyme (full response)

In this one, Genzyme blames the FDA not for too much feedback, but for none at all:

On December 22, 2010, Genzyme submitted a revised pediatric development plan (Serial No. 212) which was intended to address FDA feedback and concerns that had been received to date. This submission included proposed protocol HECT05310. [...] At this time, Genzyme has not received feedback from the FDA on the protocol included in the December 22, 2010 submission.

If this is true, it appears extremely embarrassing for FDA. Have they really not provided feedback in over 2.5 years, and yet still sending noncompliance letters to the sponsor? It will be very interesting to see an FDA response to this.

3. Cleviprex – The Medicines Company (full response)

This is the only case where the pharma company appears to be clearly trying to game the system a bit. According to their response:

Recognizing that, due to circumstances beyond the company’s control, the pediatric assessment could not be completed by the due date, The Medicines Company notified FDA in September 2010, and sought an extension. At that time, it was FDA’s view that no extensions were available. Following the passage of FDASIA, which specifically authorizes deferral extensions, the company again sought a deferral extension in December 2012. 

So, after hearing that they had to move forward in 2010, the company promptly waited 2 years to ask for another extension. During that time, the letter seems to imply that they did not try to move the study forward at all, preferring to roll the dice and wait for changing laws to help them get out from under the obligation.

4. Twinject/Adrenaclick – Amedra (full response)

The details of this one are heavily redacted, but it may also be a bit of gamesmanship from the sponsor. After purchasing the injectors, Amedra asked for a deferral. When the deferral was denied, they simply asked for the requirements to be waived altogether. That seems backwards, but perhaps there's a good reason for that.

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It is a surprisingly common peril among analysts: we don’t have the data to answer the question we’re interested in, so we answer a related question where we do have data. Unfortunately, the new answer turns out to shed no light on the original interesting question.

This is sometimes referred to as the Streetlight Effect – a phenomenon aptly illustrated by Mutt and Jeff over half a century ago:

This is the situation that the Tufts Center for the Study of Drug Development seems to have gotten itself into in its latest "Impact Report".  It’s worth walking through the process of how an interesting question ends up in an uninteresting answer.

So, here’s an interesting question:

My company owns a drug that may be approvable through FDA’s 505(b)(2) pathway. What is the estimated time and cost difference between pursuing 505(b)(2) approval and conventional approval?

That’s "interesting", I suppose I should add, for a certain subset of folks working in drug development and commercialization. It’s only interesting to that peculiar niche, but for those people I suspect it’s extremely interesting - because it is a real situation that a drug company may find itself in, and there are concrete consequences to the decision.

Unfortunately, this is also a really difficult question to answer. As phrased, you'd almost need a randomized trial to answer it. Let’s create a version which is less interesting but easier to answer:

What are the overall development time and cost differences between drugs seeking approval via 505(b)(2) and conventional pathways?

This is much easier to answer, as pharmaceutical companies could look back on development times and costs of all their compounds, and directly compare the different types. It is, however, a much less useful question. Many new drugs are simply not eligible for 505(b)(2) approval. If those drugs

Extreme qualitative differences of 505(b)(2) drugs. Source: Thomson Reuters analysis via RAPS

are substantially different in any way (riskier, more novel, etc.), then they will change the comparison in highly non-useful ways. In fact, in 2014, only 1 drug classified as a New Molecular Entity (NME) went through 505(b)(2) approval, versus 32 that went through conventional approval. And in fact, there are many qualities that set 505(b)(2) drugs apart.

So we’re likely to get a lot of confounding factors in our comparison, and it’s unclear how the answer would (or should) guide us if we were truly trying to decide which route to take for a particular new drug. It might help us if we were trying to evaluate a large-scale shift to prioritizing 505(b)(2) eligible drugs, however.

Unfortunately, even this question is apparently too difficult to answer. Instead, the Tufts CSDD chose to ask and answer yet another variant:

What is the difference in time that it takes the FDA for its internal review process between 505(b)(2) and conventionally-approved drugs?

This question has the supreme virtue of being answerable. In fact, I believe that all of the data you’d need is contained within the approval letter that FDA posts publishes for each new approved drug.

But at the same time, it isn’t a particularly interesting question anymore. The promise of the 505(b)(2) pathway is that it should reduce total development time and cost, but on both those dimensions, the report appears to fall flat.

• Cost: This analysis says nothing about reduced costs – those savings would mostly come in the form of fewer clinical trials, and this focuses entirely on the FDA review process.
• Time: FDA review and approval is only a fraction of a drug’s journey from patent to market. In fact, it often takes up less than 10% of the time from initial IND to approval. So any differences in approval times will likely easily be overshadowed by differences in time spent in development. 

But even more fundamentally, the problem here is that this study gives the appearance of providing an answer to our original question, but in fact is entirely uninformative in this regard. The accompanying press release states:

The 505(b)(2) approval pathway for new drug applications in the United States, aimed at avoiding unnecessary duplication of studies performed on a previously approved drug, has not led to shorter approval times.

This is more than a bit misleading. The 505(b)(2) statute does not in any way address approval timelines – that’s not it’s intent. So showing that it hasn’t led to shorter approval times is less of an insight than it is a natural consequence of the law as written.

Most importantly, showing that 505(b)(2) drugs had a longer average approval time than conventionally-approved drugs in no way should be interpreted as adding any evidence to the idea that those drugs were slowed down by the 505(b)(2) process itself. Because 505(b)(2) drugs are qualitatively different from other new molecules, this study can’t claim that they would have been developed faster had their owners initially chosen to go the route of conventional approval. In fact, such a decision might have resulted in both increased time in trials and increased approval time.

This study simply is not designed to provide an answer to the truly interesting underlying question.

[Disclosure: the above review is based entirely on a CSDD press release and summary page. The actual report costs $125, which is well in excess of this blog’s expense limit. It is entirely possible that the report itself contains more-informative insights, and I’ll happily update that post if that should come to my attention.]

Nearly every day since she was a child, Alex Leow, a psychiatrist and computer scientist at the University of Illinois Chicago, has played the piano. Some days she plays well, and other days her tempo lags and her fingers hit the wrong keys. Over the years, she noticed a pattern: How well she plays depends on her mood. A bad mood or lack of sleep almost always leads to sluggish, mistake-prone music.

In 2015, Leow realized that a similar pattern might be true for typing. She wondered if she could help people with psychiatric conditions track their moods by collecting data about their typing style from their phones. She decided to turn her idea into an app.

After conducting a pilot study, in 2018 Leow launched BiAffect, a research app that aims to understand mood-related symptoms of bipolar disorder through keyboard dynamics and sensor data from users’ smartphones. Now in use by more than 2,700 people who have volunteered their data to the project, the app tracks typing speed and accuracy by swapping the phone’s onscreen keyboard with its own nearly identical one.

The software then generates feedback for users, such as a graph displaying hourly keyboard activity. Researchers get access to the donated data from users’ phones, which they use to develop and test machine learning algorithms that interpret data for clinical use. One of the things Leow’s team has observed: When people are manic—a state of being overly excited that accompanies bipolar disorder—they type “ferociously fast,” says Leow.

Compared to a healthy user [top], a person experiencing symptoms of bipolar disorder [middle] or depression [bottom] may use their phone more than usual and late at night. BiAffect measures phone usage and orientation to help track those symptoms. BiAffect

BiAffect is one of the few mental-health apps that take a passive approach to collecting data from a phone to make inferences about users’ mental states. (Leow suspects that fewer than a dozen are currently available to consumers.) These apps run in the background on smartphones, collecting different sets of data not only on typing but also on the user’s movements, screen time, call and text frequency, and GPS location to monitor social activity and sleep patterns. If an app detects an abrupt change in behavior, indicating a potentially hazardous shift in mental state, it could be set up to alert the user, a caretaker, or a physician.

Such apps can’t legally claim to treat or diagnose disease, at least in the United States. Nevertheless, many researchers and people with mental illness have been using them as tools to track signs of depression, schizophrenia, anxiety, and bipolar disorder. “There’s tremendous, immediate clinical value in helping people feel better today by integrating these signals into mental-health care,” says John Torous, director of digital psychiatry at Beth Israel Deaconess Medical Center, in Boston. Globally, one in 8 people live with a mental illness, including 40 million with bipolar disorder.

These apps differ from most of the more than 10,000 mental-health and mood apps available, which typically ask users to actively log how they’re feeling, help users connect to providers, or encourage mindfulness. The popular apps Daylio and Moodnotes, for example, require journaling or rating symptoms. This approach requires more of the user’s time and may make these apps less appealing for long-term use. A 2019 study found that among 22 mood-tracking apps, the median user-retention rate was just 6.1 percent at 30 days of use.

App developers are trying to avoid the pitfalls of previous smartphone-psychiatry startups, some of which oversold their capabilities before validating their technologies.

But despite years of research on passive mental-health apps, their success is far from guaranteed. App developers are trying to avoid the pitfalls of previous smartphone psychiatry startups, some of which oversold their capabilities before validating their technologies. For example, Mindstrong was an early startup with an app that tracked taps, swipes, and keystrokes to identify digital biomarkers of cognitive function. The company raised US $160 million in funding from investors, including $100 million in 2020 alone, and went bankrupt in February 2023.

Mindstrong may have folded because the company was operating on a different timeline from the research, according to an analysis by the health-care news website Stat. The slow, methodical pace of science did not match the startup’s need to return profits to its investors quickly, the report found. Mindstrong also struggled to figure out the marketplace and find enough customers willing to pay for the service. “We were first out of the blocks trying to figure this out,” says Thomas Insel, a psychiatrist who cofounded Mindstrong.

Now that the field has completed a “hype cycle,” Torous says, app developers are focused on conducting the research needed to prove their apps can actually help people. “We’re beginning to put the burden of proof more on those developers and startups, as well as academic teams,” he says. Passive mental-health apps need to prove they can reliably parse the data they’re collecting, while also addressing serious privacy concerns.

Passive sensing catches mood swings early

A crucial component of managing psychiatric illness is tracking changes in mental states that can lead to more severe episodes of the disease. Bipolar disorder, for example, causes intense swings in mood, from extreme highs during periods of mania to extreme lows during periods of depression. Between 30 and 50 percent of people with bipolar disorder will attempt suicide at least once in their lives. Catching early signs of a mood swing can enable people to take countermeasures or seek help before things get bad.

But detecting those changes early is hard, especially for people with mental illness. Observations by other people, such as family members, can be subjective, and doctor and counselor sessions are too infrequent.

That’s where apps come in. Algorithms can be trained to spot subtle deviations from a person’s normal routine that might indicate a change in mood—an objective measure based on data, like a diabetic tracking blood sugar. “The ability to think objectively about my own thinking is really key,” says retired U.S. major general Gregg Martin, who has bipolar disorder and is an advisor for BiAffect.

The data from passive sensing apps could also be useful to doctors who want to see objective data on their patients in between office visits, or for people transitioning from inpatient to outpatient settings. These apps are “providing a service that doesn’t exist,” says Colin Depp, a clinical psychologist and professor at the University of California, San Diego. Providers can’t observe their patients around the clock, he says, but smartphone data can help close the gap.

Depp and his team have developed an app that uses GPS data and microphone-based sensing to determine the frequency of conversations and make inferences about a person’s social interactions and isolation. The app also tracks “location entropy,” a metric of how much a user moves around outside of routine locations. When someone is depressed and mostly stays home, location entropy decreases.

Depp’s team initially developed the app, called CBT2go, as a way to test the effectiveness of cognitive behavioral therapy in between therapy sessions. The app can now intervene in real time with people experiencing depressive or psychotic symptoms. This feature helps people identify when they feel lonely or agitated so they can apply coping skills they’ve learned in therapy. “When people walk out of the therapist’s office or log off, then they kind of forget all that,” Depp says.

Another passive mental-health-app developer, Ellipsis Health in San Francisco, uses software that takes voice samples collected during telehealth calls to gauge a person’s level of depression, anxiety, and stress symptoms. For each set of symptoms, deep-learning models analyze the person’s words, rhythms, and inflections to generate a score. The scores indicate the severity of the person’s mental distress, and are based on the same scales used in standard clinical evaluations, says Michael Aratow, cofounder and chief medical officer at Ellipsis.

Aratow says the software works for people of all demographics, without needing to first capture baseline measures of an individual’s voice and speech patterns. “We’ve trained the models in the most difficult use cases,” he says. The company offers its platform, including an app for collecting the voice data, through health-care providers, health systems, and employers; it’s not directly available to consumers.

In the case of BiAffect, the app can be downloaded for free by the public. Leow and her team are using the app as a research tool in clinical trials sponsored by the U.S. National Institutes of Health. These studies aim to validate whether the app can reliably monitor mood disorders, and determine whether it could also track suicide risk in menstruating women and cognition in people with multiple sclerosis.

BiAffect’s software tracks behaviors like hitting the backspace key frequently, which suggests more errors, and an increase in typing “@” symbols and hashtags, which suggest more social media use. The app combines this typing data with information from the phone’s accelerometer to determine how the user is oriented and moving—for example, whether the user is likely lying down in bed—which yields more clues about mood.

Ellipsis Health analyzes audio captured during telehealth visits to assign scores for depression, anxiety, and stress.Ellipsis Health

The makers of BiAffect and Ellipsis Health don’t claim their apps can treat or diagnose disease. If app developers want to make those claims and sell their product in the United States, they would first have to get regulatory approval from the U.S. Food and Drug Administration. Getting that approval requires rigorous and large-scale clinical trials that most app makers don’t have the resources to conduct.

Digital-health software depends on quality clinical data

The sensing techniques upon which passive apps rely—measuring typing dynamics, movement, voice acoustics, and the like—are well established. But the algorithms used to analyze the data collected by the sensors are still being honed and validated. That process will require considerably more high-quality research among real patient populations.

Greg Mably

For example, clinical studies that include control or placebo groups are crucial and have been lacking in the past. Without control groups, companies can say their technology is effective “compared to nothing,” says Torous at Beth Israel.

Torous and his team aim to build software that is backed by this kind of quality evidence. With participants’ consent, their app, called mindLAMP, passively collects data from their screen time and their phone’s GPS and accelerometer for research use. It’s also customizable for different diseases, including schizophrenia and bipolar disorder. “It’s a great starting point. But to bring it into the medical context, there’s a lot of important steps that we’re now in the middle of,” says Torous. Those steps include conducting clinical trials with control groups and testing the technology in different patient populations, he says.

How the data is collected can make a big difference in the quality of the research. For example, the rate of sampling—how often a data point is collected—matters and must be calibrated for the behavior being studied. What’s more, data pulled from real-world environments tends to be “dirty,” with inaccuracies collected by faulty sensors or inconsistencies in how phone sensors initially process data. It takes more work to make sense of this data, says Casey Bennett, an assistant professor and chair of health informatics at DePaul University, in Chicago, who uses BiAffect data in his research.

One approach to addressing errors is to integrate multiple sources of data to fill in the gaps—like combining accelerometer and typing data. In another approach, the BiAffect team is working to correlate real-world information with cleaner lab data collected in a controlled environment where researchers can more easily tell when errors are introduced.

Who participates in the studies matters too. If participants are limited to a particular geographic area or demographic, it’s unclear whether the results can be applied to the broader population. For example, a night-shift worker will have different activity patterns from those with nine-to-five jobs, and a city dweller may have a different lifestyle from residents of rural areas.

After the research is done, app developers must figure out a way to integrate their products into real-world medical contexts. One looming question is when and how to intervene when a change in mood is detected. These apps should always be used in concert with a professional and not as a replacement for one, says Torous. Otherwise, the app’s assessments could be dangerous and distressing to users, he says.

When mood tracking feels like surveillance

No matter how well these passive mood-tracking apps work, gaining trust from potential users may be the biggest stumbling block. Mood tracking could easily feel like surveillance. That’s particularly true for people with bipolar or psychotic disorders, where paranoia is part of the illness.

Keris Myrick, a mental-health advocate, says she finds passive mental-health apps “both cool and creepy.” Myrick, who is vice president of partnerships and innovation at the mental-health-advocacy organization Inseparable, has used a range of apps to support her mental health as a person with schizophrenia. But when she tested one passive sensing app, she opted to use a dummy phone. “I didn’t feel safe with an app company having access to all of that information on my personal phone,” Myrick says. While she was curious to see if her subjective experience matched the app’s objective measurements, the creepiness factor prevented her from using the app enough to find out.

Keris Myrick, a mental-health advocate, says she finds passive mental-health apps “both cool and creepy.”

Beyond users’ perception, maintaining true digital privacy is crucial. “Digital footprints are pretty sticky these days,” says Katie Shilton, an associate professor at the University of Maryland focused on social-data science. It’s important to be transparent about who has access to personal information and what they can do with it, she says.

“Once a diagnosis is established, once you are labeled as something, that can affect algorithms in other places in your life,” Shilton says. She cites the misuse of personal data in the Cambridge Analytica scandal, in which the consulting firm collected information from Facebook to target political advertising. Without strong privacy policies, companies producing mental-health apps could similarly sell user data—and they may be particularly motivated to do so if an app is free to use.

Conversations about regulating mental-health apps have been ongoing for over a decade, but a Wild West–style lack of regulation persists in the United States, says Bennett of DePaul University. For example, there aren’t yet protections in place to keep insurance companies or employers from penalizing users based on data collected. “If there aren’t legal protections, somebody is going to take this technology and use it for nefarious purposes,” he says.

Some of these concerns may be mediated by confining all the analysis to a user’s phone, rather than collecting data in a central repository. But decisions about privacy policies and data structures are still up to individual app developers.

Leow and the BiAffect team are currently working on a new internal version of their app that incorporates natural-language processing and generative AI extensions to analyze users’ speech. The team is considering commercializing this new version in the future, but only following extensive work with industry partners to ensure strict privacy safeguards are in place. “I really see this as something that people could eventually use,” Leow says. But she acknowledges that researchers’ goals don’t always align with the desires of the people who might use these tools. “It is so important to think about what the users actually want.”

This article appears in the July 2024 print issue as “The Shrink in Your Pocket.”

Neuralink’s visual prosthesis Blindsight has been designated a breakthrough device by the U.S. Food and Drug Administration, which potentially sets the technology on a fast track to approval.

In confirming the news, an FDA spokesperson emphasized that the designation does not mean that Blindsight is yet considered safe or effective. Technologies in the program have potential to improve the current standard of care and are novel compared to what’s available on the market, but the devices still have to go through full clinical trials before seeking FDA approval.

Still, the announcement is a sign that Neuralink is moving closer to testing Blindsight in human patients. The company is recruiting people with vision loss for studies in the United States, Canada, and the United Kingdom.

Visual prostheses work by capturing visual information with a video camera, typically attached to glasses or a headset. Then a processor converts the data to an electrical signal that can be relayed to the nervous system. Retinal implants have been a common approach, with electrodes feeding the signal to nerves in the retina, at the back of the eye, from where it travels on to the brain. But Blindsight uses a brain implant to send the signal directly to neurons in the visual cortex.

In recent years, other companies developing artificial vision prosthetics have reached clinical research trials or beyond, only to struggle financially, leaving patients without support. Some of these technologies live on with new backing: Second Sight’s Orion cortical implant project is now in a clinical trial with Cortigent, and Pixium Vision’s Prima system is now owned by Science, with ex-Neuralink founder Max Hodak at the helm. No company has yet commercialized a visual prosthetic that uses a brain implant.

Elon Musk’s Claims About Blindsight

Very little information about Blindsight is publicly available. As of this writing, there is no official Blindsight page on the Neuralink website, and Neuralink did not respond to requests for comment. It’s also unclear how exactly Blindsight relates to a brain-computer interface that Neuralink has already implanted in two people with paralysis, who use their devices to control computer cursors.

Experts who spoke with IEEE Spectrum felt that, if judged against the strong claims made by Neuralink’s billionaire co-founder Elon Musk, Blindsight will almost certainly disappoint. However, some were still open to the possibility that Neuralink could successfully bring a device to market that can help people with vision loss, albeit with less dramatic effects on their sense of sight. While Musk’s personal fortune could help Blindsight weather difficulties that would end other projects, experts did not feel it was a guarantee of success.

After Neuralink announced on X (formerly Twitter) that Blindsight had received the breakthrough device designation, Musk wrote:

The Blindsight device from Neuralink will enable even those who have lost both eyes and their optic nerve to see.

Provided the visual cortex is intact, it will even enable those who have been blind from birth to see for the first time.

To set expectations correctly, the vision will be at first be [sic] low resolution, like Atari graphics, but eventually it has the potential be [sic] better than natural vision and enable you to see in infrared, ultraviolet or even radar wavelengths, like Geordi La Forge.

Musk included a picture of La Forge, a character from the science-fiction franchise Star Trek who wears a vision-enhancing visor.

Experts Puncture the Blindsight Hype

“[Musk] will build the best cortical implant we can build with current technology. It will not produce anything like normal vision. [Yet] it might produce vision that can transform the lives of blind people,” said Ione Fine, a computational neuroscientist at the University of Washington, who has written about the potential limitations of cortical implants, given the complexity of the human visual system. Fine previously worked for the company Second Sight.

A successful visual prosthetic might more realistically be thought of as assistive technology than a cure for blindness. “At best, we’re talking about something that’s augmentative to a cane and a guide dog; not something that replaces a cane and a guide dog,” said Philip Troyk, a biomedical engineer at the Illinois Institute of Technology.

Restoring natural vision is beyond the reach of today’s technology. But among Musks recent claims, Troyk says that a form of infrared sensing is plausible and has already been tested with one of his patients, who used it for help locating people within a room. That patient has a 400-electrode device implanted in the visual cortex as part of a collaborative research effort called the Intracortical Visual Prosthesis Project (ICVP). By comparison, Blindsight may have more than 1,000 electrodes, if it’s a similar device to Neuralink’s brain-computer interface.

Experts say they’d like more information about Neuralink’s visual prosthetic. “I’m leery about the fact that they are very superficial in their description of the devices,” said Gislin Dagnelie, a vision scientist at Johns Hopkins University who has been involved in multiple clinical trials for vision prosthetics, including a Second Sight retinal implant, and who is currently collaborating on the ICVP. “There’s no clear evaluation or pre-clinical work that has been published,” says Dagnelie. “It’s all based on: ‘Trust us, we’re Neuralink.’”

In the short term, too much hype could mislead clinical trial participants. It could also degrade interest in small but meaningful advancements in visual prosthetics. “Some of the [Neuralink] technology is exciting, and has potential,” said Troyk. “The way the messaging is being done detracts from that, potentially.”

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