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Pig kidney works in human body for 271 days - is this the future of organ transplants?  BBCGenetically modified pig kidney keeps man alive for record nine months  The GuardianA Transplanted Pig Kidney Is Still Working After a Record-Setting 9 Months in a Patient  WIREDRecipients of gene-edited pig kidneys successfully receive human organs  STATIn a First, a Pig Kidney Kept a Patient Alive Until He Got a Human One  The New York Times

Pig kidney works in human body for 271 days - is this the future of organ transplants?  BBCGenetically modified pig kidney keeps man alive for record nine months  The GuardianA Transplanted Pig Kidney Is Still Working After a Record-Setting 9 Months in a Patient  WIREDRecipients of gene-edited pig kidneys successfully receive human organs  STATIn a First, a Pig Kidney Kept a Patient Alive Until He Got a Human One  The New York Times

Alexei Oreskovic / Fortune: AI scientist and Google researcher Ray Kurzweil joins BCI startup Subsense, which develops non-surgical BCI tech involving inhaled nanoparticles, as an advisor  —  Ray Kurzweil, the pioneering AI scientist, Google researcher, and “AI visionary,” is joining a Silicon Valley startup developing …

Fake doctor reviews are longer, more detailed, and more trusted than real ones, a gap generative AI is now making easier to exploit.

WashU Medicine surgeons report the first robotic combined liver-kidney transplant, replacing a 16-inch incision with one of about three inches.

Gene-edited pig kidneys could offer a lifeline to patients stuck waiting for a human donor.

In January 2026, Tim Andrews, who had received a genetically edited pig kidney in January 2025, became the recipient of a human kidney. A new Mass General Brigham paper, published in The Lancet, details Andrews' experience and how xenotransplantation could bridge the gap between end-stage kidney failure and a human transplant, allowing a patient to forgo dialysis in the meantime.

As the human brain takes shape before birth, a remarkable type of stem cell helps give it many of the features that make it distinctly human. These cells, called radial glia, make billions of decisions that determine which kinds of brain cells are created, when they appear and how the cortex—the seat of thought, memory and language—takes form.

Researchers have demonstrated a series of biological tests that could serve as "proxies" for measuring how different regenerative agriculture practices could improve soil carbon—years before it would be possible to measure the carbon directly. The technique offers new insights into how effective various regenerative practices are at improving soil health.

Artificial intelligence (AI) tools are overwhelmingly being used in mental health practices to support administrative tasks, but University of Queensland researchers have found they potentially lack privacy, accuracy and governance safeguards.

FDA warned an Arizona firm over unapproved umbilical cord products marketed for autism and ALS, citing unvalidated sterility processes.

A new risk stratification model developed by Northwestern Medicine scientists may help identify patients at lower risk of kidney transplant rejection, informing more personalized treatment and care strategies with fewer adverse side effects, as detailed in a recent study published in Nature Communications.

Senescent cells accumulate with age in tissues throughout the body, disrupting tissue structure and function with inflammatory secretions. The growing burden of senescent cells is an important contributing cause of degenerative aging. A cell becomes senescent in response to damage induced by some form of stress, or more often when a somatic cell reaches the Hayflick limit on cellular replication. In youth senescent cells are efficiently cleared by the immune system, but immune system aging allows senescent cells to linger and grow in number. Immune cells themselves are prone to reaching the Hayflick limit and entering replicative senescence because they respond to a variety of issues with greater replication to multiply their efforts. Research into neurodegenerative conditions and the state of the aging brain has […]

This eBook brings together expert perspectives on several of the most pressing analytical topics facing today’s cell and gene therapy developers. The post The Analytical Blueprint for Cell & Gene Therapy Success appeared first on GEN - Genetic Engineering and Biotechnology News.

The executive chair of Oracle and its CEO will be asked to justify why a project budgeted at $10bn is costing taxpayers $17bn more

Gene editing was supposed to be clean. The patent fight wasnt. For fourteen years, CRISPR has moved from a breakthrough scientific idea to a platform technology that promises cures, not just therapies. Investors backed the platform. Patients waited f... Source

In a rare case that is drawing attention across the respiratory medicine community, clinicians have documented the recurrence of pulmonary alveolar proteinosis more than three years after a patient received a bilateral lung transplant—a finding that challenges assumptions about what transplantation can and cannot fix, and that offers a roadmap for diagnosing a disease that […]

Metformin, a widely prescribed, safe and inexpensive drug for type 2 diabetes, is a first-line treatment that lowers blood sugar and improves the body's response to insulin. The drug appears to trick cells into sensing an energy shortage, similar to what happens during fasting or dieting. This activates a key cellular energy sensor called AMPK, which helps trigger cellular waste cleanup and supports cellular repair. Now, a recent review suggests metformin might also help counter some effects of aging.

uniQure filed for FDA approval of AMT-130, a one-time Huntington's gene therapy, and requested priority review. Here is what it means.

Long-lived bats are extreme outliers in the normal mammalian relationships between species body size, metabolic rate, and life span. They are small, have a high metabolic rate, and unlike near all other mammals with those characteristics, many bat species are long-lived. But bat species do exhibit a very wide range of life spans; near neighbor species can have very different paces of aging. Researchers here sequence the genomes of a number of different bat species in search of insight into the mechanisms driving longevity in bats. As is usually the case, the distant end goal of this sort of comparative biology of aging research is to find potential approaches to the development of longevity therapies. That is a long road, and little progress has been […]

arXiv:2609.01653v1 Announce Type: new Abstract: Diagnostic error carries a burden, while unconstrained large language models (LLMs) remain vulnerable to hallucination and weak integration of quantitative laboratory dynamics. We developed a decision-support pipeline combining disease-specific biomarker correlation graphs, ordinary differential equations (ODEs), deep sequence classification, and retrieval-augmented generation (RAG). For 103 disease classes from a full blood count (FBC) repository, biomarker networks were used as coupling matrices to generate 30 trajectories per disease (3,090 total). A one-dimensional convolutional neural network (CNN) and long short-term memory (LSTM) network classified disease trajectories and six dynamical clusters. A constrained GPT-4o-mini RAG layer used a 19-pattern BMJ Best Practice/NICE corpus to generate differential diagnoses evaluated for diagnostic suitability, evidential grounding, and clinical plausibility. Across five random-seed runs,

arXiv:2609.02113v1 Announce Type: cross Abstract: Classical and current quantum approaches to protein structure prediction (QPSP) face limitations, notably massive qubit requirements restricting near-term models to simplistic on-lattice simulations. We propose a logarithmic-scale variational quantum eigensolver (VQE) that reduces qubit requirements for N torsional degrees of freedom to O(log2N), enabling off-lattice, all-atom simulations. Our architecture extracts molecular torsions from relative phases in statevector simulations. On quantum hardware, a decoder maps the empirical cumulative distribution function (CDF) from basis-state probabilities to bounded torsional variables. These feed a classical algorithm to build heavy-atom coordinates. We use an EfficientSU2 ansatz and multi-stage relaxation to mitigate barren plateaus. Structures are evaluated via a custom hybrid quantum-classical Hamiltonian, alongside Rosetta and OpenMM benchmarks. Evaluation on chignolin and Trp-cage

arXiv:2609.02436v1 Announce Type: new Abstract: Collaborative Brain-Computer Interfaces (cBCIs) offer a promising mechanism to augment team decision-making, but existing approaches rely exclusively on evidence available only after a decision has been made and reported, such as reaction time or stated confidence. This limits their use to explaining or discounting a decision after the fact, rather than informing a team's response before it is finalised. We tested whether spatial-covariance EEG features could instead provide a genuinely pre-emptive signal of an operator's decision correctness, available within the response window itself, and whether such a signal depends on cognitive workload. Using a continuous virtual reality target-detection task, participants (N = 23) completed a within-subject workload manipulation (High vs. Low). At the team level, weighting votes by this pre-emptive neural signal, available before a response is committed, produced substantial accuracy gains on

arXiv:2609.02006v1 Announce Type: new Abstract: A compressed student has two shapes that need not agree: the weight it deploys at inference and the weight family its training can reach. We show that a state-of-the-art weight-inheritance distiller, Low-Rank Clone (LRC), deploys a full-width student MLP but ties training to a teacher-induced slice, leaving 62.5-81.4% of each deployed matrix's independent linear degrees of freedom unreachable-paid for at inference, never trainable. Our principle is one line: train what you deploy. From the identical LRC warm start, we make the training object the entire deployed matrix, with no change in deployed shape, deployed parameter count, or inference FLOPs, via two mergeable realizations (Dense-LRC and CORE-LRC) that both collapse to one deployed weight. This recovers stranded capacity: taking the stronger realization per teacher, +2.36/+2.71/+10.45 Avg9 over matched-budget plain-LRC baselines across three teachers (Llama3.2-3B, Llama3.1-8B,

A new report documents 592 silicosis cases among California engineered stone workers, including 31 deaths and 65 lung transplants since 2019.

The biggest healthy aging ‘blind spots’ — and doctors’ favorite biohacking tools for longevity  New York PostThis Simple Habit Could Help You Live Longer. But Does It Actually Work?  VICEU.S. News & World Report Survey: Health Experts Rank Core Lifestyle Habits Ahead of Biohacks for Longevity  MorningstarSpotlight: Redefining longevity: What does healthy aging actually mean?  Oakville NewsHere Are the Top Strategies for Healthy Aging, According to 63 Experts  Yahoo Health

The biggest healthy aging ‘blind spots’ — and doctors’ favorite biohacking tools for longevity  New York PostThis Simple Habit Could Help You Live Longer. But Does It Actually Work?  VICEU.S. News & World Report Survey: Health Experts Rank Core Lifestyle Habits Ahead of Biohacks for Longevity  MorningstarSpotlight: Redefining longevity: What does healthy aging actually mean?  Oakville NewsHere Are the Top Strategies for Healthy Aging, According to 63 Experts  Yahoo Health

Scientists study the underlying causes of a disease or test potential new drugs in animal models or cells obtained from human biopsy specimens before clinical trials. However, disease models in animals do not mimic actual human disease, and biopsy specimens are difficult to access for research purposes. Lab-grown tissues engineered from stem cells reprogrammed from human cells, called human induced pluripotent stem cells (hiPSCs), are rapidly emerging as a more reliable and accessible model in medical research.

Scientists developed tiny robots that use sound waves instead of motors to move, a design that could eventually benefit miniature medical devices.

The most common metabolic diseases, such as type 2 diabetes or fatty liver disease leading to metabolic dysfunction-associated steatohepatitis (MASH), a fibrotic condition of the liver, are consequences of the dysfunctional state of metabolism that results from being overweight and sedentary. These conditions are rare in thin, fit people, even in later life when the damage of aging makes metabolism more vulnerable and inflammatory. Excess visceral fat tissue is known to promote the accumulation of senescent cells. While cells become senescent throughout life, in youth they are promptly cleared by the immune system. That clearance falters with age, allowing senescent cells to linger and accumulate. The metabolic dysfunction produced as a consequence of being overweight accelerates this process. In today's open access paper researchers review […]

Scientists study the underlying causes of a disease or test new potential drugs in animal models or cells obtained from human biopsy specimens before clinical trials.

Insilico Medicine, a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced the release of a series of frontier specialist models for chemistry and biology, trained through its MMAI Gym for Science framework.

Laboratory experiments found that vanillin, a common vape flavoring, altered the development of human embryonic stem cells.

The recent flood of Artificial Intelligence (AI) models and content has undoubtedly brought along an unwelcome bug from the human-made content it scrapes from: bias. AI has been noted to form, copy, and amplify harmful stereotypes of already marginalized groups.

Giving old mice semaglutide—commonly sold as Wegovy or Ozempic—extends their lifespan remarkably, a new study finds

Stevie Bonifield / The Verge: MrBeast, whose YouTube channel recently hit 500M subs, will feature Gemini, Google Health, and the Fitbit Air in his videos as part of a multi-year Google deal  —  One of YouTube's biggest creators has a new deal to promote Gemini and Google Health.

Google Patents Wasnt Built for PharmaHeres What It Misses Every Time You Search a Drug Name Most people search Google the way they search for truth: type a name, hit enter, and assume the system will surface what matters. But if youre in pharmaregula... Source

AI Cant Be Named as an Inventor on Drug PatentsUntil Congress Says Otherwise What do drug developers, patent lawyers, and AI builders have in common right now? A growing mismatch between whats technologically possible and what the patent system legally... Source

Plus, news about Regeneron, Novocure, Jazz's Ziihera, BioMarin, Ascendis, AstraZeneca, Hutchmed and TScan Therapeutics. Another road bump for Tavneos: The Medicines and Healthcare products Regulatory Agency (MHRA) has followed the EMA’s lead ...

A study published in Nature has shown that the GLP-1 drug semaglutide extended the lifespan of older, healthy mice by tempering the detrimental effects of aging. Researchers at the University of California, Berkeley, directly compared the effects of the treatment with those of reduced food intake. They found that the drug mimicked the anti-aging benefits of calorie restriction, conferring even greater benefits in some areas.

The deaths of two children who received CRISPR therapies in China have rattled scientists who work on similar genetic medicines in the US, adding new fuel to a yearslong debate about the danger of the ...

The recent flood of artificial intelligence (AI) models and content has undoubtedly introduced an unwelcome flaw from the human-made content it scrapes: bias. AI has been shown to form, copy and amplify harmful stereotypes of already marginalized groups. This phenomenon has far-reaching effects as AI becomes a normal part of everyday life.

A federal judge has paused the Trump administration's abstinence-only teen pregnancy programme, citing unreliable AI-generated references. The ruling does not restore the £49.1m in cancelled grants.

Apple Watch знали, что я сделал. Obsidian знал, что я планировал. Но перед следующей тренировкой я всё равно смотрел на один красивый график и принимал решение почти вслепую. Рассказываю, как свёл план, фактическую нагрузку, самочувствие и медицинскую хронологию в обычные Markdown-файлы, а ввод отдал AI-агенту. Читать далее

After an organ transplant, a woman developed a new food allergy.

Cultivated meat aims to produce meat from animal cells in the laboratory without needing to raise a living animal for meat production. It has been proposed as a potentially more sustainable alternative to conventional meat production. Yet recreating something as complex as a steak—rather than minced meat—remains a major scientific challenge.

arXiv:2609.00430v1 Announce Type: new Abstract: Recent work uses large language models to generate systems code from specifications, treating the specification as the durable artifact and the implementation as disposable. Regenerating the implementation specializes it to each workload and device. However, that work lives in a forgiving setting: a component's externally visible effects, its writes and device commands, are recoverable, and the generator is honest, so trust is discharged by re-execution. We target the unforgiving setting: systems code whose effects are irreversible, produced by a generator that may be adversarial. There, re-execution cannot check an effect after the fact, and a proof fails silently when its assumptions do. We take the position that the only safe way to operate here is to deny the generated code the authority to act. The generated code only plans, while a fixed trusted mediator owns every effect and performs one only when the specification would have

arXiv:2609.00352v1 Announce Type: new Abstract: Large Language Models are now part of healthcare and mental health support systems, raising concerns regarding fairness toward vulnerable populations, including LGBTQIA+ individuals. However, limited empirical work has investigated how explicit LGBTQIA+ identity disclosure influences LLM-generated responses in mental health contexts. In this study, we extracted 50 real mental health questions from the Counsel Chat repository and constructed three prompt conditions for each question: no identity disclosure, explicit straight identity disclosure, and explicit LGBTQIA+ identity disclosure. We generated and analyzed 450 ChatGPT responses across these conditions using binary coding and comparative analysis. Our findings indicate that LGBTQIA+ identity disclosure did not substantially affect response completeness or supportive guidance. However, responses in the LGBTQIA+-explicit condition presented substantially more identity acknowledgment,

arXiv:2609.00319v1 Announce Type: new Abstract: Online health information seeking is shifting from keyword search, where users consider a ranked list of links, to conversational systems that compose a single answer and curate its citations. Source evaluation therefore passes from user to platform, yet what these systems surface is poorly characterized. We audited three free consumer products (ChatGPT, Perplexity, Google AI Overview) on twenty English mental health questions under two prompt conditions, with a subset of three also translated into six further languages of varying resource tiers. We recorded 15,942 citations across 1,140 responses and 1,713 unique domains, then classified every citation with a nine-category organizational typology applied by a deterministic classifier validated against human coding. Citations were heavily concentrated: the ten most-cited domains accounted for 43.6% of English citations, and government, commercial health, and academic sources were closely

Under the agreement, Andelyn will transition Genprex's adeno-associated virus (AAV)-based diabetes gene therapy candidate with process optimization, scale-up, and IND-enabling and clinical-stage manufacturing to support clinical trials. The post Andelyn to Support Manufacturing Scaleup for Genprex’s Diabetes Gene Therapy appeared first on GEN - Genetic Engineering and Biotechnology News.

Researchers today announced AdaptiveFlow, an AI-informed platform that can virtually screen billions of drug-like molecules with a 1,000-fold reduction in computational costs over existing methods. Developed and validated by scientists from St. Jude Children's Research Hospital, University of Pavia, Dana Farber Cancer Institute and Harvard Medical School, AdaptiveFlow allows prohibitively expensive ultra-large virtual drug screens to be conducted routinely. The open-source platform was published today in Nature Biotechnology.

Descriptive, Diagnostic, Predictive and Prescriptive—with two new domains: Critique and Creative. The result lays out where medical AI's greatest opportunities lie and how it could shift health care from treating disease to proactively reducing disease burden. At the same time, they emphasize that realizing this potential will require a careful balance between innovation, patient safety and responsible implementation.

In August, Google announced that Gemini users can now book appointments with Zocdoc. The news came not long after Solv said it’s partnering with Amazon ...

Senescent cells - cells that have stopped dividing but remain metabolically active - can accumulate with age and contribute to chronic inflammation and tissue dysfunction

Artificial intelligence isn't simply making healthcare more efficient—it's reshaping how healthcare organizations operate, compete, and serve patients. Author Tom Lawry joins Stewart Gandolf to explain why healthcare leaders must treat AI as a leadership challenge rather than a technology project.

A region of the brain called the striatum is critical for many cognitive and motor functions, including decision-making, movement control, habit formation and reward processing. It also plays a role in addiction and is significantly affected by Huntington's disease, schizophrenia and other disorders.

A new ethics paper from the American College of Physicians (ACP) says that while the use of artificial intelligence (AI) in medical practice can improve health care efficiency and quality, it must be grounded in clinical integrity and professionalism. The paper, published in Annals of Internal Medicine, outlines three guideposts for the ethical use of AI in medical practice: rationality, self-governance and competence.

Лечение показало эффективность у пациентов с наследственной гиперхолестеринемией и тяжелой гипертриглицеридемией – сложными состояниями, которые не поддавались контролю стандартными препаратами. После CRISPR-терапии пациенты достигли впечатляющих показателей по снижению симптомов, которые сохранялись не менее года.

RIVER FALLS, Wis. — Documentary filmmaker Peter Byck will discuss his documentary series, “Roots So Deep,” and present an abridged screening on Tuesday, Sept. 15, from 3 to 6 p.m. at the University of Wisconsin-River Falls in the Kinnickinnic River Theater in the University Center, 501 Wild Rose Ave. The event is free and open […] The post Documentary Filmmaker to Discuss Regenerative Grazing at UW-River Falls appeared first on Morning Ag Clips.

Every year, more Americans fly to Istanbul to deal with their hair loss and finally get a hair transplant in Turkey, and the reason they choose Turkey is not complicated. So people ask around, and a list of the top 10 hair transplant clinics in Turkey gets passed along. This is the 2026 version.

arXiv:2608.30656v1 Announce Type: new Abstract: Proactive tamper localization embeds an imperceptible signal into an image prior to distribution, enabling pixel-level manipulation detection. Existing methods assume a spliced (SP) setting, where synthesized regions are composited onto the original background, leaving embedded signals intact. However, real-world diffusion-based inpainting operates in a fully regenerated (FR) setting, where the entire image undergoes denoising, disrupting background signals and rendering existing frameworks ineffective. We propose APT, a semi-fragile latent-space perturbation that embeds a dense, vector-wise localization signal. By aligning each spatial feature vector toward a fixed anchor direction, APT localizes tampering via the alignment disparity between synthesized foreground and anchor-aligned background features after inpainting. The proposed hard negative mining loss and noisy perturbation branch further enforce uniform alignment. Experiments on

arXiv:2608.30369v1 Announce Type: new Abstract: We present OLIVE, a framework for adapting a foundation model to provide real-time assistance in temporally demanding, high-stakes, and dynamic tasks. We show that passive EEG, fused online with behavioral evidence, can meaningfully extend the number of targets users detect and engage beyond their unaided action bandwidth. OLIVE learns from both explicit behavioral signals (the targets the user shoots down in an XR first-person shooter game) and implicit physiological signals (fixation-locked EEG) to provide timely guidance, continuously adapting a frozen vision-language model's inference on which items are task-relevant by jointly estimating per-source reliability without manual labels or offline training. Through three user studies, including two live deployments of an assistive agent driven by OLIVE in XR, we show that OLIVE Pareto-dominates prior test-time adaptation frameworks, achieving the highest convergence rate at comparable

arXiv:2608.30130v1 Announce Type: new Abstract: Retrieval-augmented language models can fail to respect negative constraints when the retriever supplies evidence about concepts the user explicitly excluded. Beyond explicit negation, queries may ask for answers that include one concept while excluding another, or for entities that belong to a category but differ from a closely related instance. Because the excluded concept still appears in the query text, dense retrievers may assign high similarity to documents about that concept even when the user asks to avoid it. We introduce E-SENS, a training-free reranking method for negation-sensitive retrieval. E-SENS extracts a compact trap query for the excluded side and subtracts trap-query similarity from the original-query retrieval score. On ExcluIR, E-SENS shows a clear recall-violation trade-off across four embedding models and reduces trap retrieval at recall-preserving settings.

arXiv:2608.29965v1 Announce Type: new Abstract: Large language models can convert medical documents into structured data, but plausible output may still be unsupported by the source. Persisting such output in a longitudinal health record, a record that accumulates patient information over time, therefore creates an integrity risk: unverified data may influence later summaries, trends, or preventive-care computations. We introduce an evidence-gated trust-promotion model that keeps generated data provisional until a deterministic monitor verifies it against the source document. The monitor admits a candidate for a specified downstream use only when the source contains a unique supporting quotation, the relevant fields occur within the same laboratory row, and the required provenance is preserved. The generator cannot approve its own output, missing or ambiguous evidence causes refusal, and refused candidates remain available for human review rather than being silently discarded. We

arXiv:2608.29890v1 Announce Type: new Abstract: Biomedical Named Entity Recognition (NER) is fundamental to healthcare AI applications, including clinical decision support and medical information extraction. While corpora with Unified Medical Language System (UMLS) annotations, such as MedMentions, have driven progress in English biomedical NER, no comparable resource exists for Vietnamese. This paper presents En-ViMedNER, the first English-Vietnamese parallel biomedical NER corpus annotated with UMLS semantic types, which are language-neutral codes providing a shared cross-lingual label space and ensuring direct comparability with existing UMLS-based resources. The corpus contains 4,392 PubMed abstract pairs, 44,892 English-Vietnamese sentence pairs, and 202,949 aligned entity-mention pairs across 21 semantic types adapted from the MedMentions ST21pv dataset. To balance quality and scalability, we have constructed the corpus through automatic translation, expert post-editing,

A research team from The Hong Kong University of Science and Technology (HKUST) has developed an innovative "one-pot" testing platform, known as TEMPO, that could transform highly sensitive nucleic acid testing from a laboratory-based procedure into a simple, single-step test that can be performed at home. With a single reaction tube, users can obtain results comparable to those of professional laboratory tests in as little as 30 minutes. The breakthrough has the potential to bridge the technological gap between existing rapid tests and laboratory-based nucleic acid diagnostics, offering a more convenient solution for future infectious disease surveillance and genetic screening.

Rice University and collaborators in Switzerland have developed a platform to grow human-derived nerve cells and Schwann cells, supporting cells that form a protective coating called myelin around nerve fibers. This platform enables the formation of functional myelin in a three-dimensional, lab-grown environment. Researchers confirmed that it worked by measuring an increase in the speed of electrical signals traveling across networks of connected nerve cells.

Aging clocks can be readily produced by using what are by now well established machine learning techniques on any body of biological data that changes with age. Omics data is favored, as there are a great many databases of such data for large study populations, but clocks have been made using clinical chemistry results from simple blood tests, imaging data, and many other items. A clock is calibrated to predict age in the reference population, and when used on people outside that reference populations, most clocks tend to predict a higher age for people more greatly impacted by aging. Thus a higher clock age than chronological age tends to correlate with increased mortality risk, presence of age-related conditions, and so forth, at least over populations. […]

The Mediterranean diet is simpler and less expensive than you think.

Cyborg cockroaches fitted with cameras and miniature injectors could one day help deliver emergency treatment in disaster zones.

An easy waist measurement may reveal more about longevity as you age than BMI  CNNYour waist size may reveal health risks BMI misses  Science DailyWhy Waist-To-Height Ratio May Reveal a Hidden Heart Risk BMI Misses  Yahoo HealthWaist size reveals health risks that BMI can miss  Earth.comMore Research Challenges BMI, Validating the Fitness Industry’s Body Scan Push  Athletech News

An easy waist measurement may reveal more about longevity as you age than BMI  CNNYour waist size may reveal health risks BMI misses  Science DailyWhy Waist-To-Height Ratio May Reveal a Hidden Heart Risk BMI Misses  Yahoo HealthWaist size reveals health risks that BMI can miss  Earth.comMore Research Challenges BMI, Validating the Fitness Industry’s Body Scan Push  Athletech News

The ability to precisely adjust the expression of genes inside the human body—ramping up protective ones and tamping down harmful ones—holds enormous potential for treating and preventing disease. But the standard molecular tools used to tune genes, such as the CRISPR system, are too bulky to package and deliver into the body's cells.

Transplant recipients with infective endocarditis have a distinct microbiological profile and face a significantly higher risk for death at 1 year than non‑transplant control participants.

One might think that an alteration to the machinery of gene expression that systemically changes the amino acid components of proteins, in effect giving all proteins the possibility of multiple single nucleotide polymorphisms, would be quite harmful. But some forms of mistranslation of RNA into protein actually extend life span, as demonstrated in flies. The reason why this happens is unknown at the present time. It is suspected that this is a hormetic effect of some sort, mistranslation triggering stress responses that clean up the cell for an overall benefit. The evidence presented here argues against a meaningful role for stress and stress response in mistranslation induced longevity, however. Accurate translation of genes into proteins is critical to organism fitness, and errors in this process […]

Technologies like CRISPR are giving us new ways to create the dogs of our dreams — and a reason to reckon with our past mistakes.

arXiv:2608.28373v1 Announce Type: new Abstract: Integrating Artificial Intelligence (AI), particularly generative AI, into medical training has prompted concerns about learner over-reliance, misuse, and erosion of foundational clinical competencies. We propose a conceptual reframing at the decision level: the problem is not misuse but misclassification - a mechanistic failure of real-time metacognitive evaluation in selecting a subzone-inappropriate AI interaction mode. Drawing on "SCAN" (Substitute, Complement, Aid, Non-Negotiable), a human-centric decision-making framework for generative AI task allocation grounded in Vygotsky's Zone of Proximal Development and metacognition, we advance the emerging social-constructivist conversation around AI in medical education by offering a testable account of AI's role in clinical reasoning development. This framework yields testable predictions for how misclassification can be detected, mitigated, and, more importantly, prevented in the

arXiv:2608.28111v1 Announce Type: new Abstract: Microservice architecture supports software evolution by decomposing a system into small, loosely coupled services that can be deployed independently. Contrary to the expectation of high modularity, prior studies have reported that code clones exist across service boundaries, some of which are co-modified in the same version. Such clones may require changes to be propagated across service boundaries, thereby undermining service independence and increasing maintenance costs. However, existing tools do not support microservice-aware clone analysis. We present CC4M, a microservice-aware clone analysis and visualization tool. CC4M detects and enriches clone pairs with service-boundary, co-modification, file-category, and metric information. The enriched clones are visualized in an interactive scatter plot with explicit service boundaries, supporting metric-based filtering to prioritize clones with potentially higher maintenance impact. Using

arXiv:2608.28052v1 Announce Type: new Abstract: Artificial intelligence has strong potential to support clinical decision-making, yet its adoption in healthcare remains limited due to a lack of trust. Uncertainty estimation can signal unreliable predictions, and explainable AI (XAI) can clarify how predictions are made but existing methods treat them separately, providing no feature-level insight into why a prediction is uncertain or which tests to prioritize to reduce it. To address this gap, we propose explainable uncertainty estimation, which unifies uncertainty estimation and XAI to both quantify uncertainty and explain feature-level contributions. We introduce the Expected Gradients Reconstruction Uncertainty Estimate (egRUE), which incorporates prediction explanations into its uncertainty computation and decomposes uncertainty into feature-wise contributions. We prove theoretical properties of egRUE and show through experiments that it improves reliability and interpretability

arXiv:2608.27484v1 Announce Type: new Abstract: Artificial intelligence is transforming personalized healthcare, yet fragmented clinical, self reported, and wearable evidence remains difficult to interpret and trace. We present CareGraph, an auditable hybrid AI framework that converts heterogeneous records into prioritized trends, missing context indicators, bounded next steps, discussion questions, and provenance linked explanations. CareGraph organizes evidence without diagnosing, predicting outcomes, selecting treatment, or making autonomous clinical decisions. Its pipeline covers deterministic analysis, context detection, graph construction, constrained language model synthesis, evidence validation, safety controls, and release gating. Tests used synthetic cohorts of 400 patients each for development, validation, and holdout. On holdout data, a frozen ordinary least squares trend rule with a sufficiency gate achieved 0.827 accuracy, 0.837 macro F1 with a 95 percent confidence

Technologies like CRISPR are giving us new ways to create the dogs of our dreams — and a reason to reckon with our past mistakes.

A patient in England was told they had demyelination, the nerve damage that underlies conditions including multiple sclerosis. The test result had actually read “null demyelination”, and an AI scribe had dropped the word that reversed the meaning. That case appears in a warning from Healthwatch England, the statutory patient watchdog, reported by the Guardian today. […] This story continues at The Next Web

Why do women live longer than men? An evolutionary question sparks a new hypothesis that dovetails with a growing movement in longevity research.

AI transcription tools are becoming increasingly common in doctors' offices, but UK health advocates are warning that serious errors in diagnoses, prescriptions, and records could put patients at risk.

Glioblastoma, the most aggressive primary brain cancer in adults, has long defeated the standard chemotherapeutic temozolomide through a frustrating combination of molecular defenses: the DNA repair enzyme MGMT, a persistent population of self-renewing glioma stem cells, and a finely tuned redox system that neutralizes the oxidative damage meant to kill the tumor. Now, a team […]

In April, Revolution shares rocketed 54% after the company announced dazzling data from its Phase III RASolute 302 trial (NCT06625320) evaluating Rasonque in patients with metastatic pancreatic ductal adenocarcinoma (PDAC) who had been previously treated. In the overall intent-to-treat population of the Phase III RASolute 302 trial (NCT06625320), daraxonrasib showed a median overall survival (OS) of 13.2 months, nearly double the 6.7 months demonstrated for standard-of-care chemotherapy. The post StockWatch: Revolution Shares Stay Flat Despite Historic FDA Approval of Oral Pancreatic Cancer Therapy appeared first on GEN - Genetic Engineering and Biotechnology News.

A drug that millions of people with breast cancer already take every day may be hiding a second, unexpected talent: the ability to silence the inflammatory uproar of aged and damaged cells that accumulate in our tissues and quietly poison them from within. In a new study published in Nature Aging, researchers report that short-term […]

A routine photograph of the back of the eye has quietly become one of the most information-dense objects in modern medicine, and a new study argues that a single retinal scan can carry measurable traces of the health of two organs it never touches: the heart and the brain. Writing in Nature Cardiovascular Research in […]

The secret to a long life may lie in the genomes of the longest-lived mammals for their size: bats. That idea captivated Juan Manuel Vazquez when he was a graduate student at the University of Chicago, but at the time he couldn't find any good published information on bat genomes to provide clues. Once he became a UC Berkeley postdoctoral fellow in 2020, however, he unleashed his passion and began scouring the Western U.S. for bat species that could provide tissue samples and DNA to sequence.