Reporter’s Notebook: The Day the Scientific Debate Died

When the news broke on May 5 that U.S. Food and Drug Administration (FDA) officials had blocked the publication of two major COVID-19 vaccine safety studies in 2025 after being accepted for publication in medical journals, many researchers saw more than a scientific dispute. They saw it as further evidence that America’s most powerful public health agencies were devolving into ideological warfare, institutional instability, and political distrust.

By the time FDA commissioner Martin Makary, MD, resigned a week later on May 12, 2026, there was a growing conflict among scientists, political appointees, public health officials, and outside activists not only over vaccines and public health policy but also over something even more fundamental: who gets to determine what constitutes legitimate science and whether scientific disagreement itself would still be permitted to occur in public.  

A decade in the making 

Makary’s departure came amid a broader transformation of the FDA and HHS from relatively stable, technocratic agencies into politicized institutions shaped by pandemic-era conflicts. Under Obama-era leaders Robert Califf, MD, and Margaret Hamburg, MD, the FDA emphasized regulatory continuity and evidence-based policymaking, while the Department of Health and Human Services (HHS) focused largely on healthcare administration and implementing the Affordable Care Act. 

That changed during the first Trump administration and accelerated during COVID-19, when disputes over vaccines, masking, emergency authorizations, and therapeutics turned the FDA into a political flashpoint. Leadership turnover has increased, tensions between political appointees and career scientists have deepened, and public trust has fractured along ideological lines.  

The Biden administration attempted to restore institutional stability by returning Califf to the FDA and appointing lawyer and politician Xavier Becerra, JD, to HHS, but the agencies remained mired in conflicts over pandemic policy and public health authority. Under HHS Secretary Robert F. Kennedy Jr. in the second Trump administration, those tensions intensified further through staffing and funding cuts, ideological battles over vaccines and food policy, and growing distrust inside federal health agencies.  

Makary initially aligned with parts of the administration’s “Make America Healthy Again” (MAHA) agenda, particularly on food reform and criticism of segments of the pharmaceutical industry. But reports suggest he became caught between competing pressures from the White House, HHS leadership, industry groups, conservative activists, and public-health officials. He ultimately resigned amid disputes over vaping regulation, drug approvals, and broader public health policy during a sweeping restructuring of federal health agencies. Reports also indicated he was already at risk of removal and that his departure was not directly tied to controversy over the blocked COVID publication.  

Instead, the move signals the White House’s continued support for Robert F. Kennedy Jr., “MAHA,” and a shift toward more centralized control over food-safety strategy, inspections, and outbreak response—changes that could affect how aggressively the FDA enforces nutrition standards and responds to contamination events. More broadly, the episode has done little to ease concerns among scientists and public-health experts that political considerations are increasingly shaping regulatory decisions and narrowing the space for independent scientific debate within federal health agencies. 

Seeing double(think) 

One of the two was posted online as a medRxiv preprint in 2025 by lead author Joann F. Gruber, PhD, and senior author Steven A. Anderson, PhD, and examined updated Covid-19 vaccines in adults over 65, the population most vulnerable to severe disease and death from the virus. The analysis drew on data from 7.6 million Medicare FFS beneficiaries who received a COVID-19 vaccination in 2023–2024—either the Pfizer-BioNTech (3.68 million) or Moderna (3.84 million) mRNA vaccine or the Novavax protein-based vaccine (30,000)—and found no new vaccine safety signals. 

But before the study could move through peer review, publication was halted by the FDA, according to a spokesperson for the HHS. As reported by the New York Times, an HHS spokesperson said the studies were withdrawn “because the authors drew broad conclusions that were not supported by the underlying data. The FDA acted to protect the integrity of its scientific process and ensure that any work associated with the agency meets its high standards.”  

Both Gruber, whose work with the FDA’s Center for Biologics Evaluation and Research (CBER) began in 2017, and Anderson, a veteran of CBER having joined in 2001, left the FDA at some point in 2025. It’s worth noting that Anderson’s team posted a second preprint on influenza vaccines that mirrored the COVID-19 vaccines study, using the same patient population, on the same day, which was also posted online as a medRxiv preprint on January 5, 2025, and was accepted in the peer-reviewed journal Vaccine on March 25, 2025, and made available online April 8, 2025. 

On June 25, 2025, Makary and former CBER director Vinay Prasad, MD, PhD, in conjunction with manufacturers, added class safety warnings for myocarditis and pericarditis to COVID-19 mRNA vaccines’ prescribing information. The exact timing of when the accepted Gruber and Anderson study was pulled from publication has yet to be reported. That it occurred before June 2025 to prevent contradiction with Makary’s and Prasad’s safety update to the COVID-19 mRNA vaccine is entirely possible. Anderson’s team posted a second preprint on influenza vaccines that mirrored the COVID-19 vaccines study, using the same patient population, on the same day, which was also posted online as a medRxiv preprint on January 5, 2025, and was accepted in the peer-reviewed journal Vaccine on March 25, 2025, and made available online April 8, 2025. 

Both Gruber, whose work with the FDA’s Center for Biologics Evaluation and Research (CBER) began in 2017, and Anderson, a veteran of CBER having joined in 2001, no longer work at the FDA. According to their LinkedIn profiles, Gruber left in June 2025 and Anderson in December 2024. 

Gold-standard science 

I spoke with several leading epidemiologists to assess whether there was substance to the HHS statement. All immediately noted the lack of specificity in the agency’s criticism, particularly the vague references to “gold-standard science.” 

An epidemiologist with experience conducting vaccine safety studies, requesting anonymity, told Inside Precision Medicine, “If someone wants to criticize the study, there should either be a very clear articulation of what exactly they mean when they invoke terms like ‘gold-standard science’—specifically, which methods are acceptable, which are not, and why—or they should bring to the table the scientific credibility that would justify dismissing this kind of work outright. Frankly, neither of those things has happened. Broad, nonspecific attacks like these actually undermine the critique itself.”  

The epidemiologists I spoke to emphasized that the study’s methods were not novel but reflected established approaches used in vaccine surveillance and prior scientific work, including self-controlled case series and cohort studies. A Harvard University researcher familiar with the study said the framework was specifically designed for this purpose. “The system/infrastructure (FDA BEST), data source, study design, and analytic approach are all fit-for-purpose for the study question,” the Harvard researcher told me. “Self-controlled designs are robust and control for non-time-varying factors, especially in adults.” 

Céline Gounder, MD, an infectious disease specialist, epidemiologist, and editor-at-large for public health at KFF Health News, said the report used one of the strongest available methods for post-market vaccine surveillance. “This study used one of the best methods we have to check if vaccines cause side effects, and it found that the updated COVID vaccines are safe,” Gounder told me. “Pulling this study from publication doesn’t protect good science. It’s not radical transparency, and it’s not gold-standard science.” 

Gounder also noted that the study analyzed data from more than seven million people and found no new safety concerns. “That’s a careful conclusion backed by solid data,” she said. “Blocking a study because you don’t like the answer is censorship.” 

Indeed, the consensus among interviewees was that the study appeared adequately powered and appropriately cautious in its conclusions. “This study includes a large number of people, and from what I can see, it appears adequately powered for the conclusions they’re making,” said the epidemiologist with vaccine expertise. “Importantly, the authors are framing the findings appropriately. They are not claiming more than the data support. Their framing is essentially ‘No new safety signals identified.’ That’s a careful and reasonable way to present findings like this.” 

The study also openly acknowledged limitations, including possible outcome misclassification and residual uncertainty, while describing how these issues were addressed in the analysis. “Seasonality can be a concern with the study design, but it was adjusted for in the study,” said the Harvard researcher. “Claims data are well equipped for studying the exposure and outcomes of interest… In this study, misclassification was accounted for.”

Steven Goodman, MD, PhD, associate dean of clinical and translational research and professor of epidemiology and population health and medicine at Stanford University, told Inside Precision Medicine the study was informative and aligned with broader evidence supporting the low-risk profile of COVID vaccines in adults over 65. Goodman also highlighted the restraint of the authors’ interpretations. “They do not make a statement about the risk-benefit balance, which they can’t because they didn’t study the benefit, but they note that the FDA felt that the balance was positive,” he said. “Their main conclusion was, ‘Our study contributes to growing evidence on the safety of COVID-19 vaccines.’ It is hard to argue with that.” 

Goodman added, “All studies have strengths and limitations, i.e., none establish a scientific truth all by themselves. But this is fundamentally good science that adds valuable information to the COVID vaccine safety picture in adults >65.” 

The epidemiologists stressed that vaccine safety science depends on cumulative evidence across multiple studies, methods, and datasets. “Public health surveillance has always operated this way,” the Harvard University researcher said. “No single study claims to be the final word on a topic. You accumulate evidence across multiple studies, multiple methods, and multiple datasets and then interpret the totality of evidence together.” 

The Harvard researcher added, “The results are consistent with what has been reported by others, including in other countries. There is no clear scientific reason for this work being pulled from publication.” 

Truth welcomes questions 

Further, many of the epidemiologists I interviewed stressed that publication does not imply unquestioned acceptance. Instead, they argued that publication serves as the mechanism through which scientific claims challenge, refine, or overturn one another.   

Goodman emphasized that the unpublished manuscript was intended for scientific scrutiny and peer review and said imperfections in such work are neither unusual nor disqualifying. “Is it perfect? No, but this is a preprint, and usually the peer review and editing process improves the analyses, exploring robustness to various assumptions, the reporting, and the interpretation,” he said. “I would presume that the final version would have come out with some more qualifications, limitations, sensitivity analyses and caveats.” 

The experts I contacted emphasized how suppressing publication interrupts the ordinary process through which scientific consensus develops. “This study should be out there, clearly labeled as one piece of evidence among many, with all the necessary caveats attached,” said the epidemiologist. “Then additional studies come in, more data accumulate, and eventually the field interprets the evidence in totality.” 

The unnamed epidemiologist added, “For 250 years, this country has benefited from exactly that: reasonable people openly disagreeing about difficult issues. So why not say, ‘Fine, publish the study,’ and then publish an editorial alongside it explaining the caveats, limitations, and alternative interpretations? That’s how science is supposed to work. You respond to speech you disagree with by adding more speech, not by suppressing speech and certainly not by suppressing scientific speech.” 

Several of the epidemiologists argued that blocking the manuscript conflicts with repeated public calls for open scientific debate from directors at agencies under the purview of HHS, notably Jay Bhattacharya, PhD, Director of the National Institutes of Health (NIH). 

Goodman said that how the FDA handled this study “contrasted with Dr. Bhattacharya’s many public remarks stressing the criticality of open discussion of scientific results and his objections to suppressing science whose results one doesn’t like. The forced withdrawal of this manuscript prevented that process from occurring, shutting down the open discussion Dr. Bhattacharya has called for in innumerable forums.” 

Goodman added that if officials believe the study contains fatal flaws, they should articulate those concerns publicly and subject them to scientific scrutiny, “letting the authors respond and the scientific community decide… Their own critique should be subjected to peer review.” 

The fundamental process of science encourages that disputes over evidence should unfold transparently in scientific journals and public debates. “If someone has objections, they should make those objections publicly and specifically in the scientific literature where others can critique them, evaluate them, or even prove them right,” said the epidemiologist. “That’s how science advances. That’s what real science looks like: gold-, platinum-, titanium-, or whatever rare metal metaphor people want to use for standards. The scientific enterprise in this country has succeeded because ideas are tested openly, criticized openly, and refined openly. This kind of amateur hour behavior at regulatory agencies doesn’t help anybody.” 

Nostrums, not normalcy 

The culling of FDA scientists, be it via resignations or firings in 2025–2026, has continued since Makary’s resignation. Tracy Beth Hoeg, MD, PhD, the head of the FDA’s Center for Drug Evaluation and Research (CDER), was fired Friday (according to a social media post reported by Reuters on Sunday) and replaced by Michael Davis, MD, PhD, who had served as deputy director of CDER for about a year. 

There is no concrete evidence connecting the FDA’s blocking publication of two studies accepted into medical journals to Makary’s departure. But the contradictory messaging within the agency on COVID-19 mRNA vaccinesthe product of Operation Warp Speed, considered a signature accomplishment of the first Trump administrationis obvious. The collapse of confidence within institutions that once relied on scientific independence as their organizing principle. Increasingly, senior scientists and regulators appear unwilling to publicly defend decisions, studies, or processes they privately regarded as scientifically sound. That shift matters more than any single resignation. 

The appointment of Kyle Diamantas as acting head of the FDA, however, is far from a course correction, marking another sharp turn away from independent scientific leadership at America’s top health regulator. A former corporate lawyer for Abbott Laboratories with no medical or research background, Diamantas rose through the agency by advancing the “MAHA” food agenda and cultivating ties to politically aligned health influencers rather than the scientific establishment. A close friend of Donald Trump Jr., the appointment of the 38-year-old Diamantas only reinforces concerns that ideological loyalty is increasingly outweighing scientific expertise inside the FDA. 

For decades, FDA and HHS leadership operated with relative continuity, assuming that disputes would be resolved through open scientific debate. That assumption now appears badly weakened. The blocked vaccine safety study became symbolic not merely because of the substance of the research but also because even many scientists who believed the work was rigorous hesitated to say so publicly. When experts become reluctant to attach their names to conclusions that they consider obvious or well-supported, the problem extends beyond politics or personnel. It reflects a deeper institutional fear inside the scientific establishment itself. 

Makary’s resignation earlier this month therefore represented more than another leadership change in Washington. It exposed how federal health agencies have been pulled into a culture where scientific judgments are increasingly filtered through ideological loyalty, political risk, and reputational self-preservation. The larger danger is not only instability at the FDA or HHS, but the emergence of a scientific culture in which silence becomes safer than candor. Institutions built to evaluate evidence cannot function for long under those conditions.  

The post Reporter’s Notebook: The Day the Scientific Debate Died appeared first on Inside Precision Medicine.

Microbiome Therapy Could Help Drug-Resistant Melanoma Patients

Microbiotica, a microbiome-focused biotech based in Cambridge in the U.K., has achieved good Phase Ib results in a trial of its microbiome therapy for patients with advanced melanoma skin cancer.

The therapy, currently known as MB097, is designed to be given to patients who have not previously responded to immunotherapy in addition to a checkpoint inhibitor pembrolizumab. MB097 was developed to reverse the drug resistance seen in these patients and is based on research looking into the gut microbiome of melanoma patients who do respond to this kind of immunotherapy.

The primary endpoint of the trial, which included 41 patients from the U.K., France, Italy, and Spain, who had previously shown resistance to anti-PD-1 drugs, was safety and tolerability of MB097. Several secondary endpoints including response rate, duration of response, and overall survival were also included. The therapy, which contains nine beneficial strains of gut bacteria, met both its primary and secondary endpoints in the study, according to the company, although precise details will be released at a scientific conference later this year.

“There is increasing evidence that the microbiome plays a crucial role in patients’ response to immune checkpoint inhibitors. Clinical benefit has been reported with fecal microbiota transplantations, while MB097 capsules taken orally each day affords an easy and reproducible way of modifying the microbiome,” said the national coordinating investigator for the study, Pippa Corrie, MD, PhD, a clinician and researcher from Cambridge University Hospitals NHS Foundation Trust, in a press statement.

“The MELODY-1 study results show that MB097 is well tolerated, with encouraging early signs of efficacy in a very difficult to treat metastatic melanoma patient population with primary resistance to anti-PD-1 based immunotherapy, in whom there is a significant unmet need.”

Up to half of all advanced melanoma patients fail to respond to anti-PD-1 immunotherapy, leaving them with very few options. A growing body of research, including a 2021 study showing fecal transplant can overcome resistance to anti-PD-1 immunotherapy, shows that the gut microbiome plays an important role in whether a patient’s immune system mounts an effective anti-tumor response when given these therapies.

The make-up of MB097 is based on detailed research looking at strains of bacteria linked to effective response to immunotherapy. Preclinical work showed that the bacteria in the therapy directly activate cytotoxic T cells and counter immunosuppressive tumor macrophages. If larger controlled trials confirm these initial results MB097 could become a standard add-on to immunotherapy.

Microbiotica has another clinical program in ulcerative colitis, which also reported good results earlier this year in another Phase Ib trial. In total, 63% of those in the treatment group achieved clinical disease remission versus 30% in the placebo group and all were also taking standard therapy for the autoimmune disease.

The company now plans to move both its programs to larger controlled studies with a view to moving closer to market approval with both therapies.

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Opinion: How to restore credibility to the CDC’s vaccine advisory committee

The Advisory Committee on Immunization Practices (ACIP) is responsible for developing recommendations for the use of licensed vaccines in the U.S. and has vast influence on immunization practices and financing.

But in the past year its members were summarily replaced by the secretary of Health and Human Services and its processes disrupted. The participation of Centers for Disease Control and Prevention scientific experts in meetings was curtailed, and the Food and Drug Administration’s liaison representative, normally a senior vaccine expert, was replaced by a political appointee.

Read the rest…

Factors Influencing the Initiation and Continued Engagement of Digital Mental Health Tools Among Adults: Theory of Planned Behavior–Informed Systematic Review

Background: Digital mental health tools (DMHTs) offer scalable support, but engagement varies. Understanding the shapes of initiation and ongoing use is essential for effective design and implementation. Objective: This study aims to synthesize determinants of adults’ initiation and engagement with DMHTs, organized through two lenses: (1) psychological factors aligned with the theory of planned behavior (TPB) and (2) design and access features. Methods: A systematic search of 9 databases (June 2025) identified qualitative and mixed methods primary studies reporting end-users’ experiences with DMHTs. Studies were screened and reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Quality appraisal used quality assessment with diverse studies (QuADS). Data were synthesized using a framework-guided thematic approach, mapping findings to TPB constructs and complementary design and access domains. Results: A total of 22 studies met inclusion criteria. Findings clustered into 2 interdependent domains. TPB constructs explained how beliefs, social expectations, and perceived control shaped decisions to start and persist with DMHTs. Design and access features frequently acted through these same pathways, especially by altering perceived behavioral control (PBC), with cost, connectivity, device constraints, and time flexibility affecting feasibility, with content design and privacy shaping perceived value and trust. Perceived fit (goals, cultural or linguistic relevance, and routine alignment) consistently influenced both initiation and continuation. Several features operated bidirectionally; depending on context, the same feature could facilitate or hinder engagement. Conclusions: Engagement with DMHTs is jointly determined by users’ beliefs and the design and access conditions within which tools are offered. Implementation should pursue a dual strategy, strengthening willingness to seek support (addressing attitudes, norms, and perceived control) while engineering low-effort, trustworthy, and context-appropriate experiences. Priorities include equity-focused policies (data costs, devices, and connectivity), transparent data practices, co-design with diverse communities, and consistent, theory-informed outcome measures.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/87f0720b5833047d5135a207e6576970" />

Context-dependent interaction between oxytocin gene polymorphisms and alcohol dependence in modulating negative emotions during acute alcohol withdrawal in adult males

ObjectiveThe importance of multiple gene-environment interaction (G × E) has been highlighted in understanding the etiology of negative emotions. This study examines the impact of oxytocin (OXT) polymorphisms (rs2740210, rs6133010, and rs2740209) in combination with alcohol dependence on anxiety and depression symptoms during acute alcohol withdrawal under different social and environmental contexts.MethodA total of 414 Chinese Han male adults undergoing acute alcohol withdrawal were recruited. Participants provided blood samples for genotyping, self-reported measures of depression and anxiety, assessments of alcohol dependence severity, and demographic information regarding social and environmental contexts.ResultsResults revealed a positive correlation between severity of alcohol dependence and symptoms of depression and anxiety, while oxytocin polymorphism did not have a direct effect on depressive and anxiety symptoms. A significant interaction between OXT polymorphism (rs2740210 and rs2740209) and alcohol dependence in relation to anxiety symptoms solely among adults living with family and/or those who were married was observed. Further analyses indicate that the GG and CC genotypes are risk genotypes, while the T allele (rs2740210) and G allele (rs2740209) are non-risk alleles in the interaction between OXT genotypes (rs2740210, rs2740209) and alcohol dependence on anxiety among the aforementioned participants.ConclusionsThese findings provide evidence for distinct G × E interaction effects on anxiety and depression symptoms during acute alcohol withdrawal, supporting the weak diathesis-stress model. Furthermore, the study highlights the importance of considering environmental factors when investigating the role of oxytocin as a biological substrate underlying social bonding and the regulation of negative emotions.

AI in Healthcare: Symposium Insights

For years, artificial intelligence (AI) has been growing behind the scenes of our lives. Starting off as modifications of not‑so‑simple algorithms, early large language models could barely string a few words together, much like early vision systems that struggled to distinguish a lamppost from a cat in digital images. More recently AI has not just grown but proliferated—like Darwin’s finches in the Galapagos—into nearly every niche available in the digital world.

AI has infiltrated into daily life personally and professionally for many, and while modern healthcare has historically been hesitant to adapt to new technologies, Raghav Mani, director of Digital Health at Nvidia, pointed out that healthcare is adopting AI at three times the rate of other industries. Clearly, there is a lot to discuss, which is why The New York Academy of Sciences and the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai co-hosted the 3rd annual “New Wave of AI in Healthcare,” a two-day symposium on May 12 and 13 with the goal of opening discourse between researchers, clinicians, industry leaders and other interested parties on all topics related to AI and healthcare.

Day one

The first day opened with a lightning round of welcome remarks from organizers expressing their personal experience with AI in healthcare research and practice. While some, like Nicholas Dirks, PhD, president and CEO of The New York Academy of Sciences shared concerns about how to maintain human involvement in AI use, he also expressed awe stating that “The pace of progress is breathtaking.”

Others were more practical in their assessments. Lisa Stump, chief digital information officer at Mount Sinai Health System asserted, “The future is not something we enter, it’s something we create.” Similarly, Brendan G. Carr, MD, CEO, Mount Sinai Health System, described AI as a “new partner” to aid clinicians in synthesizing the vast and growing clinical data. Girish N. Nadkarni, MD, a nephrologist and practicing clinician at Icahn School of Medicine at Mount Sinai summarized the whole event before the first talk even began: “The real question is not IF AI will transform healthcare, but HOW.”

The keynote presentation leading day one’s discussions endeavored to answer that very question. With his talk entitled, “Harnessing the power of Platform Thinking to Transform Healthcare,” John Halamka, MD, president of the Mayo Clinic Platform, spent 30 minutes exploring the power of data while questioning how AI is and should be used to analyze the varied data currently available, but cautioned that this is no simple task when considering the sources of data and potential restrictions on data use. He spoke about practical applications of AI data analysis that have and can be done, including in drug discovery. He also pointed out that AI can fill gaps in the healthcare workforce.

The day continued with four talks exploring different aspects of AI model use in healthcare. Marina Sirota, PhD, professor at the University of California, San Francisco spoke about how clinical data can be used for predictive medicine. Others, including Mani and Jonathan Carlson, PhD, vice president and managing director of Microsoft Heath Futures, discussed how AI agents and models can be used as part of hospital and clinician toolkits at multiple levels—not just as data analysis engines, but also to aid in synthesizing patient data and diagnostic support. Rounding out the discussion, Azra Bihorac, MD, senior associate dean for research at the University of Florida described how AI models need to be validated just like any other tool. She also pointed out that while AI is continuously improving in its ability to assess problems and suggest the next best course of action, human input is vital for collaborative success.

Panel discussion moderated by Robert Freeman, DNP. Panelists from left to right: Pierre Elias, MD, Karen Wong, MD and Alexander Fedotov, PhD

The final talks for day one focused on how AI can be used directly with patient care situations. Following their individual talks on how AI can be integrated into electronic health records (EHR), combining models to develop new insights, or reimagining diagnosis ability to improve diagnostic equity, the final three speakers engaged in a dynamic, and sometimes heated panel discussion. Karen Wong, MD, a physician at Epic, Alexander Fedotov, PhD, director of AI digital precision health at AstraZeneca and Pierre Elias, MD, assistant professor at Columbia University Irving Medical Center each shared their thoughts on how AI will be used in the near future. While they were all in agreement that AI cannot replace clinicians, they also recognized that AI will be a disruptive force, but it’s up to clinicians to take responsibility to use the technology as appropriate but to rely on their intuition and judgement as trained professionals. When opining on the future of AI use in healthcare five years from now, Fedotov stated, “I would still want to see humans at the helm of all the decision maker processes.”

Day two

While the first day laid the foundations for AI use in healthcare spanning bench to bedside, the second day of the symposium included more discussion and criticism of AI on the logistic level.

Fireside chat between Girish N. Nadkarni, MD and Dave A. Chokshi, MD

The day began with a keynote fireside chat between Nadkarni and Dave A. Chokshi, MD, a physician and professor at City University of New York, and former NYC health commissioner. He spoke about his leadership experiences, sharing many anecdotes of his time as a public health advocate and communicator during the COVID-19 pandemic. When questioned on the importance of communication considering the state of healthcare and declining trust of the public—especially with the increased use of AI, which has the potential of adding layers of feelings of abandonment, surveillance, and impersonalization—Chokshi pointed out that “It makes relationships even more important that we know then are.” He stressed that a his job, as a clinician, is to build trust with patients, and make sure that they return for care. While he envisions AI being transformative to healthcare in the next few years, he cautioned that listening and integrating feedback from front line users, clinical staff and patients, will be vital.

The morning continued with talks exploring AI’s use in research and learning in healthcare. Joshua C. Denny, MD, CEO of NIH All of Us Research, delivered a detailed summary of the progress and of the All of Us project. Despite recent funding concerns and cuts, the project scope remains on track, and researchers world-wide are utilizing the data derived from this project and how the project leads are working to establish parameters and modules for researchers to more easily implement AI in their data analysis. Andrew Gruen, PhD, standards lead at MLCommons, then spoke animatedly about the importance of establishing standards and benchmarks for AI use in researcher and healthcare settings. He spoke candidly on the need to not just train AI but to have external evaluation and validation of AI models.

Panel discussion moderated by Girish N. Nadkarni, MD. From left to right: Karandeep Singh, MD, Girish N. Nadkarni, MD, and Vardit Ravitsky, PhD

The symposium concluded with multiple discussions on the interactions between AI and humans—not just as a tool, but by viewing the use of AI in the broader scale. Karandeep Singh, MD, executive director for health innovation at the University of California, San Diego explored various opinions of clincians and patients on the use of AI, while pointing out that the use of AI in healthcare settings should be thoughtfully considered before implantation. Meanwhile, Vardit Ravitsky, PhD, president and CEO of The Hastings Center for Bioethics, discussed the ethics behind AI use as a direct to patient setting, specifically as a patient-used chatbot. In a debate following their respective talks, the two delved deeply into the risks associated with AI use, both on the patient side with chatbots and with scribe technologies used by clinicians and patients. They often agreed on the need for transparency in AI usage, but specific AI applications, like uses of AI robots in the home to combat loneliness in the elderly resulted in disagreements.

The final talk presented by Tanzeem Choudhury, PhD, chief of health innovation at Cornell Tech, brought many previously discussed topics together. Her research explores how AI can be used in treatment of mental health, describing how AI can be used in multiple aspects of mental health therapy from recording physiological symptoms with wearables to using chatbots for various functions. She cautioned that while these tools may eventually be transformative, the current state of AI use in mental health is still growing.

The closing remarks by Alexander Charney, MD, PhD, professor at Icahn School of Medicine at Mount Sinai summarized the event well. He shared that throughout the symposium he imagined what clinicians and researchers from 100 years ago and from 100 years in the future would think about the current state of healthcare and about the challenges being faced now with how to incorporate AI. He said, “We aren’t the first group of human beings to deal with powerful technology and figuring out how we’re going to use it to change society.” He hopes that the people from the past would see that we understand and respect the past and learn from it being rigorous in our research and testing, while the people from the future will look on us with pride at our fearless and tenacity in the face of new technology. He hopes that both groups would see that we “tried to do the right thing.” He ended saying that he does see all of that here along with passion and coming together of everyone at the meeting.

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STAT+: Three years of declining overdose deaths begets cautious optimism and some concerns

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Good morning. STAT’s Helen Branswell was recently interviewed for Columbia Journalism Review about the challenges of reporting on the hantavirus outbreak. If you need a dose of empathy for journalists — or if you’re a reporter yourself, looking for guidance from the best — check it out. And if you want to subscribe to STAT+ afterward, you can do that here

The Trump admin’s wish list for its next FDA leader

The Trump administration is working to identify the next FDA commissioner after Marty Makary resigned on Tuesday. The dream candidate is someone who can rebuild trust with agency staff, focus on the agency’s food policy, and continue to drive drug-approval reforms, STAT’s Daniel Payne and Lizzy Lawrence report.

Continue to STAT+ to read the full story…

I’m scared of everything — what does it mean and how do I get over it?

What you’re describing sounds really overwhelming. I’m glad you reached out. The fears you mention — being scared of doing something against your will, worrying you might not have control, and feeling intensely concerned about being judged — are patterns I often see in people with anxiety and, sometimes, people with obsessive-compulsive disorder (OCD). A hallmark of OCD is a deep doubt about control: the fear that you might act in a way that goes against your values, even though you don’t want to. These kinds of fears are called intrusive thoughts. While intrusive thoughts can feel very real and frightening, they are not things you actually intend to do or predictions of things that you will do — they’re unwanted experiences that don’t define you.

Avoiding sports and other things for fear of being judged is also a symptom of anxiety. I can understand how hard it is to tell your family what you’re going through, especially if you have felt ignored in the past. At the same time, your pain deserves to be heard and taken seriously. I encourage you to try talking to your parents again, but if you truly feel like you can’t, consider telling one safe person — whether that’s another family member, a school counselor, or even a teacher you trust. You can write how you’re feeling in a note if speaking feels too hard.

The physical symptoms you mentioned — neck and shoulder pain, fidgeting — are also common in anxiety because our bodies can hold tension when our brains are on high alert. What this likely means is that your brain is caught in a fear loop, constantly scanning for danger around control and judgment.

The good news is that this is very treatable. A mental health professional may recommend a type of cognitive behavioral therapy called exposure and response prevention (ERP). ERP helps you gradually face the situations or thoughts you fear instead of looking for reassurance from someone else or avoiding those situations or thoughts altogether. Over time, ERP teaches your brain that thoughts are just thoughts, not actions, and that you can tolerate uncertainty without something bad happening.

For now, you might try gently labeling upsetting thoughts as anxiety, not facts, and practicing not accepting them as true when they show up. Taking small steps toward what you’ve been avoiding can help you rebuild your confidence, even if it feels uncomfortable at first.

While you can practice managing anxiety or intrusive thoughts on your own, it’s better to have help. Once you talk to someone you know and trust, have them help you reach out to a mental health professional who can provide a more thorough assessment and the appropriate treatment for you. You don’t have to go through this alone, and with the right support, this can get much better.

The post I’m scared of everything — what does it mean and how do I get over it? appeared first on Child Mind Institute.