STAT+: What does Akeso’s primo plenary spot say about its survival data?

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I’m suffering from spring allergies + a nasty head cold this week. Not fun.

Mystery cloaks an ASCO plenary lung cancer survival result

The runup to next month’s annual meeting of the American Society of Clinical Oncology has started, and a good bit of the Wall Street chatter and speculation is centered on the Akeso-Summit Therapeutics drug ivonescimab.

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STAT+: New obesity tool aims to predict risk of 18 serious complications

Body mass index has its limitations, but for now it’s the metric medicine often defaults to when predicting weight-related health problems. A new tool promises to better define who’s at risk for obesity complications, based on measures that include BMI but also family history, diet, current illness, and socioeconomic factors culled from medical records.

One aim of the research is to better understand who’s a candidate for an obesity drug, often prescribed based on BMI alone or BMI in combination with another disease. Over time, GLP-1 medications, whose initial target was type 2 diabetes, have revealed their power to ease cardiovascular disease, kidney disease, liver disease, sleep apnea, and osteoarthritis, in addition to promoting significant weight loss. But discerning who’s the best fit for the costly, lifelong treatment has been uncertain. 

“We really wanted to have an integrated model that enables us to look at not one, but 18 different obesity-relevant complications,” Claudia Langenberg, co-author of a study about the new model published Thursday in Nature Medicine, said in a media briefing Tuesday. She is director and professor of medicine and population health at Precision Healthcare University Research Institute of Queen Mary University of London.

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Securing NIH awards is getting more competitive — and confusing

The likelihood of snagging National Institutes of Health grants has plunged to historic lows, forcing frustrated academic researchers to resort to a variety of tactics to try to obtain funding and, in some cases, keep their jobs, according to a nationwide STAT survey and follow-up interviews with respondents.

NIH data show that securing research awards has become more competitive under the second Trump administration than ever before, and more unpredictable. Just 13% of applications were funded in the past fiscal year, and even top-rated proposals aren’t a sure thing.

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Opinion: Congress must hold RFK Jr. accountable after hearings

Our former colleagues in Congress recently heard from Health and Human Services Secretary Robert F. Kennedy Jr. for the first time in more than half a year.

Several congressional committees held hearings with Kennedy as they examined the Trump administration’s budget priorities. It was a key opportunity for lawmakers to build on the administration’s significant health policy achievements — and for the most part, they seized it. While Democrats were predictably critical of the secretary’s every move, Republicans wisely pushed back on the administration’s proposal to reduce funding for the National Institutes of Health. And with good reason. Sustained NIH funding underpins the research and development pipeline that makes vaccines possible at a time when voter polling shows Americans want leaders that support vaccine access.

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Restoring Vision with Stem Cell–Derived Retinal Cells by Overcoming ILM Barrier

Degeneration of retinal ganglion cells can cause irreversible vision loss. Pluripotent stem cells (PSCs) could, in theory, be used to replace lost ganglion cells. However, past attempts at injection of these cells have failed because the cells are not able to reach the retina.

Now, researchers have successfully demonstrated that disrupting an eye structure long suspected of blocking the growth and survival of transplanted nerve cells—the internal limiting basement membrane (ILM)—may help restore vision in people with optic nerve damage.

The work suggests that altering or removing the thin layer of tissue, which separates the light-sensing retinal tissue at the back of the eye from the gel-like vitreous fluid that fills the eye, was needed for the survival and migration of donor human PSC-derived retinal ganglion cells into the retina of mice, rats, and nonhuman primates. This technique could help transplanted retinal ganglion cells survive and grow in people with blinding optic nerve damage.

This work is published in Science Translational Medicine in the paper, “The internal limiting basement membrane inhibits functional engraftment of transplanted human retinal ganglion cells in vivo.”

Damage, or optic neuropathy, occurs when retinal ganglion cells die of disease, inflammation, or injury and stop carrying electrical signals to the brain. Common causes of damage include glaucoma, optic nerve inflammation (optic neuritis), and ischemic optic neuropathy (sudden loss of blood flow to the optic nerve).

Healthy, functional human retinal ganglion cells can be grown in a lab, but most die when transplanted, said Thomas Vincent Johnson III, MD, PhD, a professor of ophthalmology at the Johns Hopkins Wilmer Eye Institute. “Even when the retinal ganglion cells survive, they remain on the retina’s surface and do not migrate into the tissue or form the connections with other nerve cells necessary to detect light,” he noted.

Researchers have speculated that the internal limiting membrane, present in many vertebrates, including humans, may be causing transplant failures.

Starting with immunosuppressed rodents, the researchers injected lab-grown human retinal ganglion cells (hRGCs) into the vitreous humors of mice with an inborn gene mutation that caused an incomplete, patchy internal limiting membrane to form. They then injected the human retinal ganglion cells into a second group of mice treated with an enzyme solution known to partially digest the membrane without damaging the eye. Lastly, they injected a third, control group of mice treated with an inactive sterile solution. After two weeks, the team observed transplantation survival in 95% of eyes (45/50) with the inborn structural defect, 80% of enzymatically disrupted eyes (32/40), and 75% of control group eyes (12/16).

The researchers then traced where the surviving human retinal ganglion cells settled and grew in the mice, noting that a much greater percentage reached the retinal ganglion cell layer in mice born with a patchy internal limiting membrane and in those treated with the enzyme.

Capturing 3D images of the migrated cells, the researchers say they observed that 2% (plus or minus 0.6%) and 7.1% (plus or minus 1.6%) surviving cells in enzyme-treated and mutant eyes, respectively, matured to form dendrites. In contrast, migration and maturation only occurred in 0.01% plus or minus 0.01% of surviving control human retinal ganglion cells.

Conducting similar experiments in larger eyes and donated eye tissue replicated the group’s findings, establishing evidence that the inner limiting membrane is indeed a structural obstacle to neuron replacement, the researchers noted. They also established a surgical procedure for retinal ganglion cell transplantation that could be used in clinical trials, thus advancing potential methods for restoring vision in humans with optic neuropathy.

While the study’s results are promising, Johnson cautions that further work is still needed before their experimental findings can be applied to people. “We know our methods are effective, but we don’t know if completely removing the internal limiting membrane helps or harms the retinal ganglion cells in the long run,” he said. “It will likely take several years before our findings could become available as an experimental therapy, but the methods we developed will guide the field moving forward.”

The post Restoring Vision with Stem Cell–Derived Retinal Cells by Overcoming ILM Barrier appeared first on GEN – Genetic Engineering and Biotechnology News.

STAT+: Supreme Court justices appear to signal ‘skinny labeling’ can survive

After months of anticipation, Supreme Court justices heard arguments about a long-standing tactic used by generic companies to carve out a distinct market for a medicine, and did not appear inclined to alter legal standards for the maneuver.

At issue is skinny labeling, which refers to moves by generic companies that seek regulatory approval to market a drug for a specific use, but not other patented uses for which a brand-name medicine is prescribed. For instance, a generic drug could be marketed to treat one type of heart problem but not another. In doing so, the generic company seeks to avoid lawsuits claiming patent infringement.

This tactic has been a key tool for generic companies ever since the Hatch-Waxman Act was signed into law more than four decades ago. The law established the mechanisms by which generic drugs can more readily enter the marketplace. And skinny labeling is one way that Congress attempted to foster more competition and benefit consumers.

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User Requirements of the Integrated Home-Based Rehabilitation Tool, Neurorehabilitation Ecosystem for Sustained Therapy: Multicenter Focus Group Study With Stroke Survivors, Caregivers, and Health Care Professionals

Background: Due to the high burden on health care, home-based rehabilitation (HBR) has gained increasing interest. A new HBR program for stroke survivors, containing a gaming app with upper-limb exercises, monitoring system, and virtual coach was being developed. Objective: This study aimed to assess the user requirements of an HBR tool including a gaming app, monitoring system, and virtual coach, and to examine potential differences between end users and countries. Methods: Thirteen stroke survivors, 12 caregivers, and 15 health care professionals from centers in the Netherlands, Italy, and Spain, participated in focus groups or interviews. Each center used the same interview guide with open questions about each component. An inductive thematic analysis was conducted separately at each center, and results were combined during a physical meeting. Results: User requirements were categorized into three main themes: (1) customization: aligning with individual preferences and capabilities; (2) motivational elements: these included reminders, a variety of levels and games, and ease of use; and (3) feedback elements: maintaining interactions with therapists. These themes apply to both home-based exercises as well as daily-life activities during HBR. There were minor differences between end users or centers. Conclusions: All end users across the participating countries emphasized the importance of integrating gamified exercises, monitoring, and virtual coaching into an HBR system. The user requirements for such a system can be categorized into three key areas: customization, motivational elements, and feedback elements.
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The Comprehensive Assessment of Social Media Use: Development and Validation Study

Background: Nearly all youth use the internet daily, with many maintaining several social media accounts. As increasing numbers of young people engage online and the ways we communicate fundamentally change, it is increasingly important to ask: how do these shifts influence youth mental health? To better understand how social media may affect mental health, researchers require validated tools that capture young people’s heterogeneous experiences with social media. However, few available measures evaluate the full range of positive and negative behaviors associated with its use, limiting our ability to meaningfully advance interventions promoting online hygiene. Objective: This study aims to develop and validate the Comprehensive Assessment of Social Media Use (CASM). The CASM is a self-report survey measure that moves beyond simple duration or frequency of use and captures how young people engage with social media. Importantly, the CASM assesses both the positive and negative dimensions of social media engagement. Methods: Two studies are outlined in this paper. Study 1 outlines the process of item generation and exploratory factor analysis. Study 2 outlines confirmatory factor analysis and validity testing. Both studies were conducted online and enrolled a convenience sample of college-aged young adults. Study 1 enrolled 260 participants (mean age 19.73, SD 2.91; n=172, 66.2% female; n=164, 63.1% White; n=38, 14.6% lesbian, gay, bisexual, transgender/transsexual, and queer [LGBTQ]). Study 2 enrolled 508 participants (mean age 18.99, SD 1.17; n=323, 63.6% female; n=272, 53.5% White; n=58, 11.4% LGBTQ). Results: Exploratory and confirmatory factor analysis resulted in a 29-item CASM scale that assesses 7 distinct aspects of young adult social media use: self-branding, compulsive use, disruptive use, impulsive sharing, social engagement, induce negative emotions, and induce positive emotions. This model accounted for 61% of the variance in responses. The chi-squared test of model fit was significant (²=941, <.001; root mean square error of approximation=0.064; comparative fit index=0.855; Tucker-Lewis index=0.848; standardized root mean squared residual=0.060). Factor internal consistency reliability ranged from 0.699 to 0.817. Validity testing suggested moderate discriminant, convergent, and criterion validity. Conclusions: The CASM measures a broad range of social media behaviors, enabling researchers to more effectively examine associations between online engagement and mental health outcomes. We hope the CASM will help researchers better understand how young people interact with social media, and that this knowledge will inform the development of more targeted interventions promoting healthy online habits.

Designing and Evaluating Digital Mental Health Interventions: Scoping Review

Background: The ongoing adoption and use of digital interventions offer promising opportunities to meet the growing demand for mental health support. The effectiveness, implementation, and usage of these interventions depend on how well they are designed and evaluated. However, given the emerging nature of design research in this area, there is still no clear consensus on the specific principles and guidelines for developing digital mental health interventions (DMHIs). There seems to be a lack of clarity regarding the best practices for designing and evaluating these tools. Objective: We aimed to investigate and report on the design principles and evaluation approaches used in digital interventions specific to mental health care. Additionally, we sought to outline how these principles and approaches are applied in research. Methods: This scoping review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews. The literature search was performed in 2 electronic databases, SCOPUS and Web of Science, across 3 iterations from January 2024 to January 2025. A total of 2 independent reviewers screened and selected papers based on predefined inclusion and exclusion criteria, followed by data extraction from the selected studies. The data were then synthesized by categorizing the papers according to the primary research aim of each study. The inclusion criteria covered studies involving populations with mental health challenges or users of DMHIs, any digital tools for mental health care, and principles or strategies related to the design, evaluation, or implementation of DMHIs. Results: Our search identified 401 papers, of which 17 met the inclusion criteria for this review. Among these, 11 focused on evaluation studies, while 6 covered both design and evaluation studies (mixed). An iterative user-centered development process, expert inclusion, usability testing, specification of design elements, and user tracking and feedback were identified as common design principles used in studies focused on DMHIs. Evaluation approaches were shaped by the evaluation goal, which influenced the chosen methodologies. We also summarize the recommendations for implementation highlighted in some studies. Based on our findings, we propose 8 guidelines emphasizing stakeholder involvement in the development process and the need for clear justifications for design decisions, among other considerations. Conclusions: Design principles used in DMHI development include user-centered development, expert inclusion, and usability testing, while evaluation approaches often rely on randomized controlled trials to assess efficacy. Qualitative and mixed-method approaches are commonly adopted by studies to capture user experience and bridge both process and outcome measures. We recommend that future research explicitly report its design justification and adopt a multiperspective approach in the research and design of DMHIs.
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Errors in AI-Transformed Patient-Centered Mental Health Documentation Written by Psychiatrists: Qualitative Pre-Post Study

Background: Patients’ digital access to their personal health data is becoming increasingly common worldwide. However, medical documentation often contains technical language and sensitive information, which can lead to potential misunderstandings and distress among patients. These issues may be particularly impactful in mental health contexts. Large language models (LLMs) offer a promising approach by transforming clinician-generated health notes into language that is more patient-centered, nonmedicalized, and empathetic. However, risks related to accuracy and clinical safety have not been adequately investigated in psychiatry. Objective: This study aimed to qualitatively analyze the errors introduced by LLMs when transforming notes written by psychiatrists into patient-facing formats. It also highlights the implications for clinical communication and patient safety. Methods: Clinical notes (n=63) written by 19 psychiatrists in an outpatient treatment setting were collected, anonymized, and translated from German to English by humans. OpenAI GPT-3.5 Turbo was used to develop a preprompt that transformed these notes into a patient-centered, lay-readable form through an iterative process. Three psychiatrists qualitatively analyzed the LLM-revised documentation using Kuckartz content analysis. They compared the preconversion and postconversion notes to systematically identify and categorize LLM-induced errors. Results: Five categories of clinically relevant errors were identified: (1) clinical misinterpretations, particularly in critical assessments such as suicidality, where nuanced terminology was oversimplified or inaccurately represented; (2) attribution errors, where behaviors or roles within family dynamics or interactions were incorrectly attributed to different individuals; (3) content distortion errors, which were characterized by speculative additions, emotional exaggerations, and inappropriate contextual assumptions; (4) abbreviation and terminology errors, which resulted from inaccurate expansions of medical abbreviations and terms; and (5) structural and syntax errors, which resulted in ambiguity, particularly when the original notes were brief or bulleted. Despite significant improvements in the readability and overall linguistic fluency of the converted notes, these errors occurred. Conclusions: LLMs have the potential to transform psychiatric notes into patient-friendly formats. However, critical errors remain prevalent and can impair clinical judgment, understanding of patient circumstances, clarity of medication regimens, and interpretation of clinical observations. To safely integrate artificial intelligence–generated documentation into psychiatric care, clinician oversight and targeted model refinement are essential. Future research should explore strategies to mitigate these errors, assess their comprehensive clinical impact, and incorporate patient and provider perspectives to ensure robust implementation.
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