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A sweeping review of more than 350 studies suggests that the protein boom may be overselling what many people actually need. Eating less protein appears to improve metabolism, reduce inflammation and cellular damage, and activate pathways linked to healthier aging and longer life.

Eating less protein could slow aging, major review finds  ScienceDailyConsuming less protein could have greater health benefits and extend lifespan  News-MedicalStudy suggests eating less protein could be key to healthy aging for most adults  ABC News - Breaking News, Latest News and VideosCould eating less protein slow ageing?  New ScientistLifelong restriction of dietary valine has sex-specific benefits for health and lifespan in mice  Nature

Eating less protein could slow aging, major review finds  ScienceDailyConsuming less protein could have greater health benefits and extend lifespan  News-MedicalStudy suggests eating less protein could be key to healthy aging for most adults  ABC News - Breaking News, Latest News and VideosCould eating less protein slow ageing?  New ScientistLifelong restriction of dietary valine has sex-specific benefits for health and lifespan in mice  Nature

Государство — это не про «царя-батюшку». Это про систему, которая переживает любого царя. Звучит банально, но именно здесь собака зарыта. Мы слишком часто уповаем на личность, забывая, что даже самый гениальный правитель — смертен. А иногда, как говорил классик, «внезапно смертен». Историческая память — штука упрямая. Аристотель придумал модель, которая пережила и его самого, и Александра Македонского, и всю эпоху эллинизма. Диадохи — преемники великого завоевателя — не стали изобретать велосипед. Они скопировали государственное устройство метрополии и растиражировали его по всем осколкам империи. В этом и есть гениальность: не создать нечто гениальное, а создать нечто воспроизводимое. Систему, которая не зависит от того, кто сидит на троне. У нас с этим, мягко говоря, проблемы. Борис Годунов, Николай Второй, Хрущёв, Горбачёв — каждый из них оставил после себя руины, которые приходилось собирать заново, через боль, кровь и сверхусилия. И дело даже не в том, что все они

While biodiesel offers environmental advantages over conventional diesel fuel, it's far from a magic bullet; there are some drawbacks to using the biofuel.

A protein best known for protecting the ends of chromosomes also helps muscle stem cells preserve their identity and repair damaged tissue, according to a new study from researchers at the Perelman School of Medicine at the University of Pennsylvania.

Insilico Medicine has launched what it describes as the first Drug Discovery and Development Benchmark as a Service, a testing framework designed to determine whether artificial intelligence systems can make meaningful scientific decisions—or merely excel at recalling information from their training data. The initiative targets a growing weakness in AI evaluation: many existing benchmarks use […]

Beijing —  A top Chinese medical university is investigating the death of a young girl in an experimental gene-editing trial conducted by a leading expert at its affiliated hospital that has raised serious concerns about ethics in China’s booming biomedical industry. Shanghai Jiaotong University School of Medicine said it has established a working group to “conduct … The post Girl’s undisclosed death in gene-editing trial raises red flags in booming Chinese industry appeared first on Egypt Independent.

The main function of CRISPR-Cas systems is to defend bacteria against various threats, including viruses called bacteriophages. Researchers have continued to study all varieties of CRISPR-Cas systems (to date, two classes, seven types and 46 subtypes have been identified) to understand their capabilities.

A process long associated with genomic instability may have a carefully controlled role in human development, according to a study published in Cell Death Discovery. Researchers report evidence that human stem cells can undergo “physiological re-replication” as they differentiate, duplicating portions of their genetic material in a regulated biological context rather than as a consequence […]

For years, cancer research has treated tumor cells as relatively stable enemies: cells that multiply, spread and acquire resistance through genetic mutations. A study published in Cell Death Discovery challenges that simplified view in non-small cell lung cancer, suggesting that some of the most dangerous tumor cells can change their behavior in response to the […]

Since launch, Sleep Sensing on the 2nd-gen Nest Hub has only worked with Google Fit. With that app going away, Nest Hub sleep tracking will join Google Health.

Click here to read the Healio Exclusive, "Embrace the future’ of robotics in ophthalmology."Ophthalmology has a history of integrating innovation, from phacoemulsification and IOLs to advanced imaging, lasers and minimally invasive surgical techniques.Each transition has required surgeons to rethink how they learned, how they made decisions and how they defined excellence.As robot-assisted ophthalmic surgery moves from concept to clinical reality, the field will need to evolve in the same way it always has: by combining deep respect for surgical fundamentals with a willingness to adopt

image: Leveraging 30+ validated PCC programs and over 12 years of model development experience to create a large-scale real-world “blind test” for frontier AI and foundation models, with a transparent public leaderboard. view more  Credit: Insilico Medicine As general-purpose and domain-specific AI models rapidly infiltrate drug discovery, one critical question looms over the pharmaceutical sector: Can […]

While “protein maxxing” is all the rage, reducing your protein intake could add years to your life

Bryan Johnson says he may have taken Project Blueprint too far as he reveals autoimmune gastritis, sparking discourse over extreme longevity practices.

Diabetic foot ulcers are among the most serious complications of diabetes because prolonged inflammation, poor circulation, and defective angiogenesis can leave wounds open for months and increase the risk of infection and amputation.

Bryan Johnson's latest health experiment involves storing his girlfriend's menstrual blood for analysis, sparking debate over its invasiveness and potential to advance women's health research.

A US health envoy's presentation at the AIDS 2026 conference featured an AI-generated map that mislabelled African countries, highlighting concerns over AI's role.

Atomarine wants to put data centers on modular barges for ocean-based deployments. The firm says these can be powered by LNG-powered ships and seamlessly swap to ship-based SMRs when they become available.

arXiv:2607.27428v1 Announce Type: new Abstract: Medical imaging has served as primary proving ground for clinical artificial intelligence (AI), yet a decade of intense research has not translated into proportionate bedside impact. We argue that this gap is not primarily a product of insufficient algorithmic performance, inadequate regulation, or limited explainability. Rather, it reflects a structural misalignment, between how AI systems are designed and evaluated, and how clinical decisions are made. This Perspective identifies six interconnected dimensions of this misalignment: the dominance of pixel-only models in a multimodal clinical world; the erosion of physician trust through opaque and inflexible systems; the unfulfilled promise of foundation models in data-sparse medical domains; the persistent bottleneck of non-shareable, under-curated datasets; the gap between validated algorithms and deployable clinical platforms; and the failure of prediction-centric AI to generate

arXiv:2607.27428v1 Announce Type: cross Abstract: Medical imaging has served as primary proving ground for clinical artificial intelligence (AI), yet a decade of intense research has not translated into proportionate bedside impact. We argue that this gap is not primarily a product of insufficient algorithmic performance, inadequate regulation, or limited explainability. Rather, it reflects a structural misalignment, between how AI systems are designed and evaluated, and how clinical decisions are made. This Perspective identifies six interconnected dimensions of this misalignment: the dominance of pixel-only models in a multimodal clinical world; the erosion of physician trust through opaque and inflexible systems; the unfulfilled promise of foundation models in data-sparse medical domains; the persistent bottleneck of non-shareable, under-curated datasets; the gap between validated algorithms and deployable clinical platforms; and the failure of prediction-centric AI to generate

arXiv:2607.28495v1 Announce Type: new Abstract: Stage-replay diagnostics reconstruct intermediate token prefixes and treat fresh-prefill continuation as continuation from the decoder state that originally reached the prefix. We audit that assumption at a whole reasoning-stage boundary in a Qwen2.5-derived system. A matched 200-item experiment compares retained live cache with one-shot prefill of identical integer tokens and places an exact replica on both sides. In BF16, replicas remain exact while the constructions differ on 166 suffixes and 20 correctness labels; the accuracy difference is only one point (paired 95% CI [-3.5, +5.5]). A fixed-prefix 2x2 holds all 200 token states constant while crossing construction and precision. The BF16 disagreements recur, whereas FP32 produces no decoded disagreement (95% Wilson upper bound 1.88%). A prospective bridge makes token-by-token incremental and retained live caches bit-exact on 12/12 rows; an all-200 saved-ledger audit reproduces

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As general-purpose and domain-specific AI models rapidly infiltrate drug discovery, one critical question looms over the pharmaceutical sector: Can these models actually discover drugs, or are they just good at taking tests?

An international research team led by the Medical University of Vienna reports on a new treatment strategy that has made kidney transplantation possible for a patient with no realistic chance of receiving a suitable donor organ.

A joint research team led by Daesik Kim, a professor in the Department of Medicine at Sungkyunkwan University, along with Yong-Sub Kim, a professor at the University of Ulsan College of Medicine, and Jae-Hyun Park, a professor at Sungkyunkwan University School of Medicine, has developed "OpenABE" (Open Adenine Base Editor).

A joint research team led by Professor Daesik Kim (Department of Medicine, Sungkyunkwan University), along with Professor Yong-Sub Kim (University of Ulsan College of Medicine) and Professor Jae-Hyun Park (Sungkyunkwan University School of Medicine), has announced the development of 'OpenABE' (Open Adenine Base Editor).

When researchers screen potential tuberculosis drugs, they often end up with too many options. Some look promising but later prove to be costly dead ends.

A research team from The Hong Kong University of Science and Technology (HKUST) has developed a novel AI framework, the Generalist–Specialist Collaboration (GSCo), which enables a generalist foundation model and specialist models to collaborate on disease diagnosis. GSCo outperforms both standalone models in tasks such as medical imaging, visual question answering and radiology report generation, while significantly reducing the cost of adapting medical models to new clinical tasks.

McCallin, S., Classen, A.Y., Lieberknecht-Jouy, S.C. et al. Combined phage therapy and faecal microbiota transplantation to treat recurrent urinary tract infection: a case series. Nat Microbiol 11, 2112–2118 (2026). https://doi.org/10.1038/s41564-026-02409-0 August 2026

An upgrade transformed the beleaguered virtual assistant into a modern chatbot. It’s imperfect but worth trying.

Biohacker Bryan Johnson says he "cloned" himself using his own cells, but scientists say the technology is actually induced pluripotent stem cells, not human cloning.

Inside almost every cell in our bodies are tiny structures called organelles that keep us alive and functioning. Among these are many bean-shaped mitochondria, often referred to as the cell's power plants because they generate the energy our bodies need to survive. When mitochondria stop working properly, the consequences can be severe, contributing to diseases that affect the brain, heart and other vital organs.

While artificial intelligence (AI) holds immense promise for transforming health care for older adults, a new study published in JMIR Aging reveals significant friction between those who use AI health tools and those who create and fund them. Conducted by researchers at Johns Hopkins University, the University of Iowa, and Washington University in St. Louis, the study highlights how key stakeholders—older adults, care partners, clinicians, health system leaders, developers and investors—hold fundamentally different definitions of value, usability and cost, creating systemic barriers to technology adoption.

THURSDAY, July 30, 2026 — E-cigarettes could be reshaping the future of cancer in the United States, by offering people a less-toxic option than smoking, a new study argues.Smokers are increasingly switching to vaping and other forms of nicotine...

An international research team led by the Medical University of Vienna reports on a new treatment strategy that has made a kidney transplant possible for a patient with no realistic chance of receiving a suitable donor organ. As the case study demonstrates for the first time, the use of a new drug from the field […]

Cellular senescence was initially defined in vitro as a stable cell-cycle arrest that occurs after repeated replication, but it is now recognized as a heterogeneous state shaped by cell type, species, senescence-inducing stress, tissue microenvironment and time. To organize this complexity, we propose the term ‘senotype’ to classify senescent cells by their inputs, molecular features […]

US healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer’s disease and related dementias. Generative artificial intelligence (AI) built on large language models now enables agentic AI systems that can streamline clinical workflows, integrate multimodal data and learn from practicing specialists. We envision an agentic AI system that scales […]

Tuberculosis drug discovery gets smarter with AI at Texas A&M AgriLife New tools help researchers move faster against a global disease July 16, 2026 – by Olga Kuchment   When researchers screen potential tuberculosis drugs, they often end up with too many options. Some look promising but later prove to be costly dead ends. “We might get […]

An international research team led by the Medical University of Vienna reports on a new treatment strategy that has made a kidney transplant possible for a patient with no realistic chance of receiving a suitable donor organ.

arXiv:2607.26878v1 Announce Type: new Abstract: The Heil-Ramanathan-Topiwala (HRT) conjecture asserts that every finite collection of distinct time-frequency shifts of a nonzero square-integrable function is linearly independent. Despite its simple formulation, the conjecture remains open even under strong regularity and decay assumptions on the generating function, and in particular for general configurations of four distinct points. In this paper, we establish the HRT conjecture for an infinite family of symmetric $(2n+1,2)$ configurations and arbitrary functions in $L^2(\mathbb{R})$. More generally, our argument applies whenever the collinear points have commensurable spacings. As a consequence, we prove the HRT conjecture for every configuration of four distinct points when the generating function is real-valued. The proof combines a reduction to products of trigonometric polynomials with estimates along orbits of irrational rotations.

An upgrade transformed the beleaguered virtual assistant into a modern chatbot. It’s imperfect but worth trying.

Researchers from RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School found that an artificial intelligence (AI)-enabled early warning system helped identify hospitalized patients at risk of rapid clinical decline sooner, contributing to fewer deaths among high-risk patients. Published in NEJM AI, a journal from the New England Journal of Medicine group (DOI: 10.1056/AIoa2500973), the […]

image: UMass Chan scientists Jun Xie, PhD and Guangping Gao, PhD, help develop a microRNA-based biologic to supress production of the mutant SOD1 protein that causes amyotrophic lateral sclerosis (ALS). view more  Credit: Bryan Goodchild, UMass Chan Medical School A single IV injection of a microRNA-based biologic developed by Guangping Gao, PhD; Robert H. Brown Jr., DPhil, MD; Jun […]

image: 3-Step Evolutionary Map of Base Editors as ‘Therapeutic Tools’ view more  Credit: Hye-Yeon Hwang, Nabukenya Mariam, Jiyeon Kweon, Hwalin Yi, Gayoung Jang, Jiyoo Roh, Kayeong Lim, Jae-Hyun Park, Yongsub Kim, Daesik Kim, Structure-guided engineering of AI-derived adenine base editors for nuclear and mitochondrial DNA editing, Nucleic Acids Research, Volume 54, Issue 14, 12 August 2026, […]

Researchers developed a two-stage machine learning framework that detected diabetes and classified records as prediabetes, type 1, type 2, or type 3c diabetes using two public datasets. XGBoost showed strong internal performance, but inconsistent model rankings, non-standard variables, and the absence of external clinical validation limit immediate use.

Elix and the University of Vienna will partner to bridge the gap between advanced structural biology and artificial intelligence. By integrating AI’s predictive power with experimental atomic-resolution data, the project seeks to bypass the limitations of traditional drug discovery, delivering new therapeutic insights for complex diseases. The post Elix and University of Vienna Aim to Advance Drug Discovery Using AI appeared first on GEN - Genetic Engineering and Biotechnology News.

In many animal tissues, stem cells continually divide to create new cells that replace old or damaged ones. However, this capacity requires strict regulation, as uncontrolled stem cell proliferation can disrupt tissue homeostasis and contribute to tumorigenesis.

On Tuesday, Lilian Weng said she was stepping down from Thinking Machines Lab because the job was making her ill. On Wednesday, she was back at OpenAI. Weng co-founded Thinking Machines Lab with Mira Murati, OpenAI’s former chief technology officer. She is rejoining OpenAI to work on recursive self-improvement, or using AI models to build […] This story continues at The Next Web

The use of artificial intelligence (AI) and algorithms is increasingly under scrutiny. After all, they can already do a great deal, and even more is promised. But what exactly lies under the hood of an AI model? For some applications, that knowledge doesn't matter all that much. But doctors in the intensive care unit (ICU) have to make decisions that can ultimately be a matter of life and death. They want to know exactly how a risk assessment is constructed.

A gene-editing tool designed to precisely rewrite the gene that causes Huntington's disease reduced toxic protein fragments and symptoms associated with the disease in mice, researchers at the University of Illinois Urbana-Champaign report.

A single IV injection of a microRNA-based biologic developed by Guangping Gao, Ph.D., Robert H. Brown Jr., DPhil, MD, Jun Xie, Ph.D., and Zuoshang Xu, MD, Ph.D., suppressed production of the mutant SOD1 protein that causes amyotrophic lateral sclerosis (ALS), delayed disease onset by 60 days and extended lifespan by 100 days—more than tripling the average survival time—in mouse models of the disease.

Shirguppe, S., Gapinske, M., Swami, D. et al. In vivo CRISPR base editing for treatment of Huntington’s disease. Nat. Biomed. Eng (2026). https://doi.org/10.1038/s41551-026-01747-y https://doi.org/10.1038/s41551-026-01747-y Tags: advancements in neurogenetic therapiesbiomedical engineering in neurogeneticsCRISPR technology in Huntington’s diseaseCRISPR-based gene correction in vivogene editing in neurodegenerative disordersgenome editing for hereditary neurological disordersHuntington’s disease genetic mutation targetingin vivo CRISPR […]

Specialized cells in the human body make biological trade-offs to perform certain jobs. To support the large, hardworking hearts that power other organs, heart cells have evolved to be extremely efficient and resilient. Because the adult human heart cannot repair itself the way skin does, scientists have studied ways to "reprogram" heart cells to regenerate after heart attacks. Heart cells have very stable identities, however, and are resistant to reprogramming.

Insilico Medicine has announced that the U.S. Food and Drug Administration (FDA) has granted Fast Track Designation to ISM6331, an investigational pan-TEAD inhibitor being developed for adult patients with unresectable malignant pleural mesothelioma following progression on or after anti–PD-1 therapy. The designation also covers patients treated with or without anti–CTLA-4 therapy, and with platinum-based chemotherapy. […]

Insilico Medicine ("Insilico"; HKEX: 3696), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced that ISM6331, a novel, potential best-in-class pan-TEAD inhibitor driven by Insilico's proprietary AI, has received Fast Track Designation (FTD) from the U.S.

The death of a six-year-old girl after receiving an experimental gene-editing therapy has been described by scientists as a tragedy that highlights the need to improve trial safeguards. But some in the biotechnology industry fear Chinese policymakers may curtail the regulatory flexibility that scientists have long enjoyed in initiating clinical trials – a key mechanism behind China’s competitive edge in frontier treatments. “I hope this tragedy does not have a lasting negative impact on...

AI tools are already being used in hospitals, clinics and doctors' offices. Who is making treatment decisions, and who is responsible if an AI gets it wrong? To address these questions, science and technology editor Eric Smalley hosted a webinar with panelists Dr. Jodyn Platt, an associate professor of health management and policy at the University of Michigan, and Dr. David Kao, medical director at the Colorado Center for Personalized Medicine.

Kidney transplant recipients with acute COVID-19 had reduced risks for graft loss and CV events when they received early remdesivir, according to study data published in JAMA Network Open.Kidney transplant recipients particularly face risks for severe COVID-19 due to comorbidities, receipt of immunosuppressive medications and other factors, according to Nitipong (Nate) Permpalung, MD, MPH, FIDSA, associate director for clinical trials at the Johns Hopkins Transplant Research Center, and colleagues. Early action is needed to treat SARS-CoV-2 infection in acute stages for this population, they

In a new publishing deal, Causaly and Sage have announced a partnership to bring full-text scientific peer-reviewed literature into the world of AI-powered drug discovery research. The deal also marks Causaly’s first partnership with a major STM publisher. The post Sage Inks Publishing Deal with Causaly’s AI Platform Focusing on Drug Discovery Research appeared first on GEN - Genetic Engineering and Biotechnology News.

Doctronic, the startup that bills itself as an AI doctor, announced on Wednesday that it has acquired text message-based pediatric care provider Summer Health. The deal marks the first of what’s likely to be several ...

Nearly 6 in 10 New Jersey adults support regulating how artificial intelligence (AI) chatbots interact with users seeking mental health advice, according to a study conducted by the Eagleton Center for Public Interest Polling, home of the Rutgers-Eagleton Poll, in collaboration with the Center for Health Services Research at the Rutgers Institute for Health, Health Care Policy and Aging Research.

A new multi-site study published in Gene Therapy reports that two streamlined assays—SACF and GILA—can improve how scientists evaluate whether CRISPR/Cas9-edited cell therapy candidates undergo unintended transformation in vitro. The work addresses a core challenge in gene editing: even when on-target edits look clean, rare cellular changes can emerge that may alter growth behavior or […]

A fecal microbiota transplantation protocol is linked to improved sleep efficiency and reduced wake after sleep onset in adults with chronic insomnia disorder, new research shows.

For millions of women living with chronic pelvic pain (CPP), finding answers can take far too long. Studies have shown the condition affects nearly one in four women worldwide and is linked to dozens of potential disorders involving multiple organ systems. Yet many health care providers receive only limited training in diagnosing the source of pain, often leaving patients facing years of uncertainty, repeated testing and ineffective treatments before receiving the right diagnosis.

A gene editing tool designed to precisely rewrite the gene that causes Huntington's disease reduced toxic protein fragments and symptoms associated with the disease in mice, researchers at the University of Illinois Urbana-Champaign report.

A robot-assisted procedure placing an artificial urinary sphincter may help women with stress incontinence achieve little or no urine leakage.

 Egypt’s Minister of Health and Population Khaled Abdel Ghaffar said the Ministry is committed to adopting cutting-edge medical technologies, particularly robotic surgery, noting that its high precision can improve surgical outcomes, reduce the risk of errors and enhance patient safety. He stressed that investing in the training and qualification of healthcare professionals is essential to ensuring […] The post  Egypt plans robotic surgery center to train medical teams appeared first on Egyptian Gazette.

Китайские биоинженеры создали молекулярный инструмент smACGmax, способный одновременно заменять три типа нуклеотидов в заданном участке ДНК. Эта технология нужна для направленной эволюции генов, с помощью которой можно создать клетки с новыми полезными свойствами и ускорить разработку лекарств.

arXiv:2607.25288v1 Announce Type: cross Abstract: Single-cell ribonucleic acid sequencing (scRNA-seq) is a foundational technology for precision-medicine workflows that contribute to United Nations Sustainable Development Goal 3 on Good Health and Well-being, and unsupervised clustering is the analytical step that turns raw expression matrices into interpretable cell populations. Practitioners therefore face a recurring engineering decision: is an additional deep representation stage worth its compute and tuning cost, or do classical principal component analysis (PCA) pipelines already suffice? We address this question with a diagnostic benchmark of nine clustering pipelines on ten real datasets (90-5,685 cells, 19,046-41,480 genes, 4-11 cell types), augmented by a partial scVI V2 specialized comparison on seven datasets. The protocol integrates Optuna hyperparameter search, repeated-run robustness, Friedman/Wilcoxon-Holm/TOST testing, and Sobol total-order sensitivity analysis. The

arXiv:2607.25489v1 Announce Type: new Abstract: Large language models and multimodal foundation models are enabling medical artificial intelligence (AI) systems to move beyond isolated prediction and undertake multistep clinical tasks that require planning, tool use, memory, iterative correction, and coordination among specialized agents. However, the scope of agentic AI in medicine remains unsettled, and current evaluation practices are not yet aligned with the requirements of clinical use. We conducted a scoping review with systematic evidence mapping across five electronic sources, screened 1,649 exportable records, and provisionally included 557 unique studies that met predefined criteria for goal-directed task execution, tool use, interaction with external resources, feedback-based refinement, or multi-agent collaboration. The included studies describe single agents that use external tools, workflows supported by retrieval and external knowledge, multimodal agents, and

arXiv:2607.25485v1 Announce Type: new Abstract: Health AI is evolving from answering questions to agentic systems that converse with patients, reason about health records, and act on their behalf. Primary care guards against diagnostic errors and unsafe care; agents assisting in this domain warrant evaluation against the same risks. Current benchmarks focus on medical knowledge, assessed through isolated question-answering or clinician-facing tasks. PatientAgentBench benchmarks patient-facing agentic healthcare; it evaluates a foundation model, wrapped in an agent with a sandbox of healthcare tools, conversing with a simulated patient. Each conversation is scored by an LLM-as-a-Jury across six dimensions via over a hundred conversation-agnostic, clinician-grounded criteria. To validate alignment, licensed clinicians annotated shared conversations, yielding 79-93% adjacent agreement between jury and expert raters, on par with or exceeding clinician inter-rater agreement. We benchmarked

arXiv:2607.25288v1 Announce Type: new Abstract: Single-cell ribonucleic acid sequencing (scRNA-seq) is a foundational technology for precision-medicine workflows that contribute to United Nations Sustainable Development Goal 3 on Good Health and Well-being, and unsupervised clustering is the analytical step that turns raw expression matrices into interpretable cell populations. Practitioners therefore face a recurring engineering decision: is an additional deep representation stage worth its compute and tuning cost, or do classical principal component analysis (PCA) pipelines already suffice? We address this question with a diagnostic benchmark of nine clustering pipelines on ten real datasets (90-5,685 cells, 19,046-41,480 genes, 4-11 cell types), augmented by a partial scVI V2 specialized comparison on seven datasets. The protocol integrates Optuna hyperparameter search, repeated-run robustness, Friedman/Wilcoxon-Holm/TOST testing, and Sobol total-order sensitivity analysis. The

arXiv:2607.24859v1 Announce Type: new Abstract: The rapid deployment of large language models (LLMs) in healthcare settings makes the reliability of their built-in guardrails against malicious queries a question of urgent practical consequence. Yet the robustness of these mechanisms against deliberate misuse (in the healthcare context) remains poorly understood. In this paper, we investigate this question empirically, using AI-assisted medical note manipulation as a concrete case study. We make four novel contributions. First, we develop a reproducible manipulation pipeline that takes publicly available seed medical note templates and use commercial LLMs to produce customized manipulated notes by substituting patient names, provider identities, dates, and medical conditions across multiple model families, input formats, and prompt phrasings. Second, we conduct a systematic empirical evaluation of LLM guardrail robustness for medical note manipulation. Our experimental results reveal

Researchers developed Oncoformer, a multimodal transformer that analyzes longitudinal health records and chest X-rays to classify cancer, predict diagnoses up to one year in advance, infer tumor stage, and forecast treatment response and recurrence risk. Validation across large independent cohorts showed strong performance, although prospective trials in diverse, average-risk populations are needed before clinical use.

In many animal tissues, stem cells continually divide to create new cells that replace old or damaged ones. However, this capacity requires strict regulation, as uncontrolled stem cell proliferation can disrupt tissue homeostasis and contribute to tumorigenesis.

Stem cells in the Drosophila intestine continuously generate new cells, but their division must be precisely limited to preserve tissue balance. Left unchecked, overproliferation can destabilize epithelial organization and mirror the early logic of tumorigenesis. A new study now traces how differentiated progenitor cells help enforce this brake—using a molecular system better known for physically […]

A new study published in Pediatric Research claims that artificial intelligence can help clinicians diagnose necrotizing enterocolitis (NEC)—a devastating intestinal disease that primarily affects premature infants—and estimate the likelihood of surgical intervention. Researchers from multiple disciplines report an AI framework trained to recognize early signs of NEC using clinical and imaging-linked indicators available in routine […]

Adult heart muscle cells have evolved an extraordinary stability: they are built for efficiency and endurance, not rapid rewiring. This is a major obstacle for regenerative strategies, because after myocardial injury the adult heart cannot heal itself as readily as skin. Even when researchers try to reprogram one cell state into another, mature cardiac cells […]

In late May, Google shared a roadmap of upcoming improvements for the Health app after the big redesign. After four Google Health updates, here’s what’s left on the list.

Adults with kidney transplants who were treated for COVID-19 with the antiviral remdesivir within a week of COVID-19 diagnosis and who received at least three consecutive days of therapy were less likely than kidney transplant recipients who did not receive the antiviral to experience cardiovascular or kidney problems up to a year later, according to findings from a target trial emulation study that published in JAMA Network Open.

Taylor Herzlich / New York Post: NYC-based AI startup Runlayer sues Rippling for allegedly stealing trade secrets to “build essentially a clone” of Runlayer's safety and governance product  —  A New York-based AI startup is suing Rippling - a Silicon Valley software giant that got a $3 million tax break from Gov. Kathy Hochul …

Remdesivir may offer benefits that extend well beyond the initial days of COVID-19 in adults living with kidney transplants, according to a target trial emulation analysis published in JAMA Network Open. The study evaluated whether timely antiviral therapy could influence longer-term outcomes in a population often excluded from randomized trials. Researchers focused on adults treated […]

Adults with kidney transplants who were treated for COVID-19 with the antiviral remdesivir within a week of a COVID-19 diagnosis and who received at least three consecutive days of therapy were less likely than kidney transplant recipients who did not receive the antiviral to experience cardiovascular or kidney problems up to a year later, according to findings from a target trial emulation study published in JAMA Network Open.

How you care for yourself at this life stage matters a lot for your later years.

Cancer cells survive by hiding from the immune system's surveillance. A KAIST research team has developed a new anticancer platform that makes cancer cells send out their own danger signal—prompting immune cells to attack—while simultaneously delivering gene therapy.

A comprehensive analysis of 484 studies on robot-assisted surgery highlights publication trends, collaboration patterns, and thematic shifts in plastic surgery.

If there's a word that captures both the great promise and the persistent uncertainty of longevity medicine, it's peptides.