Headlines

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.

The meditation app on your phone may soon be run by a large language model that never sleeps, never tires and never truly understands what it is dispensing, and according to new research, that is precisely where the danger begins. A study published in the journal AI & Society by a team at the University […]

Imagine hospitals scattered across a country jointly teaching a single artificial intelligence to spot hidden health-risk patterns — without a single weight measurement, meal log, or exercise record ever leaving the building where it was collected. That is the promise behind a new study from researchers at Manipal Institute of Technology Bengaluru, part of Manipal […]

Dealroom.co: Faro, which develops data models and AI tools to speed up clinical trials, raised a $37.3M Series B co-led by Merck Global Health Innovation Fund and S32  —  What's the deal?  Faro has raised a $37 million Series B round to develop AI tools aimed at speeding up clinical trials.

The performers are asking the government to give every person in the UK a legal right to own their voice.

Hardened Ground: How Stiffening Tissue May Be Quietly Draining Human Fertility Aging has long been narrated as a story written in hormones, genes and mitochondria, but a new synthesis argues that some of the most consequential chapters may be written in something far more tangible: the physical stiffness of the tissue itself. In a review […]

Banished Decades Ago, Toxic PCBs May Still Be Eroding Children’s Brains — and Their Telomeres More than two decades after the world’s industrialized nations agreed to phase them out, polychlorinated biphenyls are still being measured in the blood of schoolchildren — and a sweeping new study suggests they may be leaving a molecular fingerprint on […]

Earlier this year, rumors were rampant about a revamped Health app coming to iOS 26.4. Then the project was delayed, and iOS 27 came and went, and the revamp still didn’t arrive. With the new Apple Watch Series 12 and Ultra 4 debuting next month, it’s worth asking: will we see the features debut alongside new hardware?

Learn more about the cloned mouse that followed Dolly the sheep, and why cloning is still a taboo subject 

Dogs and humans may have more in common when it comes to aging than scientists realized. Researchers with the Dog Aging Project found that patterns of small molecules in dogs’ blood were linked to longer or shorter lifespans in remarkably similar ways to those seen in people. These metabolic “fingerprints” could offer clues about the biological processes that drive aging, including metabolism, inflammation, and cellular stress.

The 62-Cent Face: Medical Students Are Now Learning to Cut and Stitch on 3D-Printed Skin Before any medical student ever presses a biopsy punch into a living patient, someone has to decide whether their hands are ready. At the University of Augsburg, that judgment is now being made against an unlikely stand-in: a silicone replica […]

Google Health is rolling out version 5.07 with more workout metrics, improved maps, and fixes for Health Connect.

A Ten-Percent Warning: A Simple Breathing Test May Predict Deadly Lung Disease Months Earlier in Children After Bone Marrow Transplants For the smallest recipients of life-saving bone marrow transplants, the gravest threats do not always announce themselves with fever or crisis; some arrive as a whisper. A new study from China reports that a subtle […]

A new method could help quantum computers avoid one of their most persistent problems: the hardware itself is unevenly noisy, and the best place to run a quantum circuit can change from one moment to the next. Researchers from the Indian Institute of Science and IBM have developed “quality indicator circuits,” or QICs, lightweight test […]

Vascularized composite allotransplantation, or VCA, has expanded reconstructive options for people with devastating tissue loss. Hand, face, abdominal wall, uterine, penile, scalp and laryngeal transplants can restore functions and appearances that conventional reconstruction may not fully reproduce. But these procedures carry a distinctive biological cost: recipients generally need lifelong immunosuppressive treatment to prevent their immune […]

A long-term study of liver transplant recipients has found that the most pronounced changes in DNA methylation occurred between five and ten years after transplantation, and that these changes were concentrated in immune-related biological pathways. The findings suggest that extended survival after a liver transplant may be accompanied by sustained remodeling of the immune system’s […]

A routine scan found a 12-centimeter clot filling a transplanted heart. The patient had no symptoms, and the story does not end well.

MYC is a common oncogene that regulates tumor growth and spread, yet no approved drugs exist to target it.

In a tale of identities as divergent as "The Prince and the Pauper," a well-known cancer-causing gene also influences cells in a zombie-like state meant to prevent cancer.

Neurosurgeons in London have successfully carried out a live artificial intelligence assisted operation to remove a brain tumour, described as a world first for such surgery.Rhys Hibbert, a 48 year old patient, could have lost his sight without the surgery at the National Hospital for Neurology and Neurosurgery (NHNN) in London earlier this year.During the operation the AI system analysed the live surgical video feed in real time, rather than using presurgery scans. The surgeons remained in full control, but the technology helped the team make more precise decisions by highlighting critical structures at the base of the brain.The procedure represented the first time the technology has been used on a patient this way.Because blood vessels and nerves controlling vision are so tightly packed together in the pituitary gland, and going a millimetre wrong can make a critical difference leading to death, blindness, or stroke, the surgical team used AI...

Allograft survival is unaffected when kidney transplant (KT) is performed after a short-term pretransplant dialysis duration (PTDD), according to a study published online Aug. 24 in the International Journal of Urology.

Google Health 5.07 is rolling out on Android and iOS with meaningful updates to manual workout logging and a handful of bug fixes.

A recent paper argues that AI is often better at doctoring than doctors. Guess who isn't thrilled.

Mayo Clinic joined the federal AEGIS project to build CRISPR treatments for children with inherited immune disorders. Here is what is real.

MUNICH — CRISPR Therapeutics’ gene editing candidate showed mixed durability results a year after patients were dosed, according to early-stage data presented Friday at the annual meeting of the European Society of Cardiology. The company will ...

Эффект CRISPR-терапии неконтролируемой дислипидемии сохранился в течение года

Stephane Bancel, CEO of Moderna, was at a Lebanese restaurant celebrating a friend’s birthday late on August 13 when he got the call.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A startup claims it’s found a drug to make your blood young —Antonio Regalado I knew I’d officially become a “longevity influencer” when a company called Generation Lab offered me the…

Scientists pinpoint when women should start HRT to cut dementia risk  The IndependentNew Studies Link Menopause Hormone Therapy to Lower Alzheimer’s Risk  The New York TimesIs there a ‘window of opportunity’ to prevent Alzheimer’s in women?  Scientific AmericanWomen using HRT at lower risk of dementia, study suggests  The GuardianTaking HRT in midlife cuts dementia risk by a quarter, study suggests  The Telegraph

Scientists pinpoint when women should start HRT to cut dementia risk  The IndependentNew Studies Link Menopause Hormone Therapy to Lower Alzheimer’s Risk  The New York TimesIs there a ‘window of opportunity’ to prevent Alzheimer’s in women?  Scientific AmericanWomen using HRT at lower risk of dementia, study suggests  The GuardianTaking HRT in midlife cuts dementia risk by a quarter, study suggests  The Telegraph

A CRISPR Nasal Spray Shows Early Promise Against Brain Inflammation After Traumatic Injury A gene-editing treatment delivered through the nose has reduced acute brain inflammation and improved early motor performance in mice after traumatic brain injury, according to a study published in Biomedical Microdevices. The experimental therapy uses lipid nanoparticles—tiny fat-based carriers already familiar from […]

arXiv:2608.27360v1 Announce Type: new Abstract: Speaker anonymization suppresses speaker-identifying attributes from speech while preserving linguistic content and quality. We propose repurposing XTTSv2, a multilingual voice cloning model trained on 27k hours of speech, for speaker anonymization without retraining. Our key insight is that XTTSv2's voice cloning capabilities preserve prosodic structure independently of speaker identity, enabling voice conversion by conditioning on a pseudo-speaker. We introduce an iterative refinement strategy that balances privacy and utility by maximizing a harmonic mean of speaker dissimilarity and intelligibility. Evaluated on seven European languages across CommonVoice and Multilingual LibriSpeech, our system achieves near-optimal privacy (EER $\approx$ 0.49), competitive intelligibility, and substantially better speech quality than dedicated anonymization baselines, while requiring no language-specific training. We release the code here:

arXiv:2608.26162v1 Announce Type: new Abstract: Safety-critical mental-health support systems must distinguish when supportive conversation is appropriate from when free-form generation should be blocked. This paper presents Anian, a safety-gated multimodal AI backend for perinatal mental-health support and mindfulness-intervention routing. Anian is not intended to diagnose psychiatric conditions or replace clinical care or crisis intervention. Its modular pipeline places generative AI downstream of structured state representation, conservative risk fusion, and response gating. User text or voice-derived ASR transcripts are mapped into four linked layers: L1 emotion states, L2 psychosocial constructs, L3 safety risk, and L4 intervention routes. Local text- and rule-based safety evidence is fused with external voice-derived evidence using a highest-risk-priority rule, S_fusion = max(S_local, S_external). At moderate or high fused risk, ordinary AI-generated responses and text-to-speech

Researchers here show that a few different senolytic approaches improve the state of the population of microglia in the white matter of the brain in aged mice. This is much as one might expect, given past work into the effects of clearing senescent cells on cognitive function and neurodegeneration in various mouse models. Microglia are innate immune cells of the brain. The presence of senescent and inflammatory microglia is important in the age-related disruption of normal function in the brain, and removing them is beneficial. Sadly, little progress has been made to date in assessing established low-cost senolytic drugs in patients with neurodegenerative conditions; one small clinical trial was conducted for Alzheimer's disease, and that is about it. Brain white matter undergoes structural and functional […]

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) said Friday they have developed a biomolecular artificial intelligence (AI) model, called K-Fold, that predicts protein structures and how drug candidates bind to them, with the aim of speeding up new drug development using homegrown technology. The model was built by a KAIST-led group called Team KAIST as part of a project run by Korea's Ministry of Science and ICT to develop AI foundation models specialized by field. KAIST President Bae Chung-sik said the project reflects the importance of "sovereign AI" — a country's ability to develop and control its own core technology — for national competitiveness in the AI era. K-Fold is designed to predict not only the 3D shape of a single protein, but also how it interacts with other proteins, drug candidates, or genetic material such as DNA and RNA, and where and how a candidate compound binds. That combination of structure prediction and binding prediction is

Plant diseases are moving faster, spreading farther and becoming harder to identify, creating an escalating threat to global food security. A new artificial-intelligence framework called PD-CLIP is designed to recognize plant diseases that it has never previously seen, while also estimating how severely a plant is affected and how symptoms are distributed across its canopy. […]

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) said Friday they have developed a biomolecular artificial intelligence (AI) model, called K-Fold, that predicts protein structures and how drug candidates bind to them, with the aim of speeding up new drug development using homegrown technology. The model was built by a KAIST-led group called Team KAIST as part of a project run by Korea's Ministry of Science and ICT to develop AI foundation models specialized by field. KAIST President Bae Chung-sik said the project reflects the importance of "sovereign AI" — a country's ability to develop and control its own core technology — for national competitiveness in the AI era. K-Fold is designed to predict not only the 3D shape of a single protein, but also how it interacts with other proteins, drug candidates, or genetic material such as DNA and RNA, and where and how a candidate compound binds. That combination of structure prediction and binding prediction is

Obesity: Keto May Offer More Benefits Than Mediterranean Diet  HealthlineScientists Pitted Keto Against Mediterranean And Low-Fat Diets. Keto Won on One Clear Health Measure.  ScienceAlertKeto diet has greater health benefits than other popular weight-loss diets, according to clinical trial  Medical XpressIs the keto diet better than the Mediterranean? New clinical trial reveals health benefits  Scientific AmericanA Study Found Keto, Mediterranean, and Plant-Forward Diets Cut Weight Equally. 1 Decreased Liver Fat by 67 Percent  inc.com

Obesity: Keto May Offer More Benefits Than Mediterranean Diet  HealthlineScientists Pitted Keto Against Mediterranean And Low-Fat Diets. Keto Won on One Clear Health Measure.  ScienceAlertKeto diet has greater health benefits than other popular weight-loss diets, according to clinical trial  Medical XpressIs the keto diet better than the Mediterranean? New clinical trial reveals health benefits  Scientific AmericanA Study Found Keto, Mediterranean, and Plant-Forward Diets Cut Weight Equally. 1 Decreased Liver Fat by 67 Percent  inc.com

Women using HRT at lower risk of dementia, study suggests  The GuardianNew Studies Link Menopause Hormone Therapy to Lower Alzheimer’s Risk  The New York TimesIs there a ‘window of opportunity’ to prevent Alzheimer’s in women?  Scientific AmericanTaking HRT in midlife cuts dementia risk by a quarter, study suggests  The TelegraphScientists pinpoint when women should start HRT to cut dementia risk  The Independent

Women using HRT at lower risk of dementia, study suggests  The GuardianNew Studies Link Menopause Hormone Therapy to Lower Alzheimer’s Risk  The New York TimesIs there a ‘window of opportunity’ to prevent Alzheimer’s in women?  Scientific AmericanTaking HRT in midlife cuts dementia risk by a quarter, study suggests  The TelegraphScientists pinpoint when women should start HRT to cut dementia risk  The Independent

In a UK Biobank study of 183,450 postmenopausal women followed for an average of 13.3 years, hormone replacement therapy use was associated with a modestly lower risk of dementia, with stronger associations in women who had surgical menopause or shorter natural estrogen exposure. The relationship also varied by age at HRT initiation, while the observational design means the findings cannot establish that HRT prevents dementia.

THURSDAY, Aug. 27, 2026 — The U.S. Food and Drug Administration (FDA) has approved the first drug shown to substantially extend the lives of people with advanced pancreatic cancer, nearly doubling survival time in a key clinical trial. The...

Hormone replacement therapy, or HRT, may lower the risk for dementia among postmenopausal women, new data in Alzheimer’s & Dementia show.The findings — although not showing causality — align with recently published data, which showed that women who used estrogen-only menopausal hormonal therapy later in life had lower risks for clinical dementia diagnoses and functional and memory decline.“Dementia affects millions of people worldwide, with women making up almost two-thirds of Alzheimer’s disease cases, the main form of dementia,” Anne-Marie Minihane, PhD, a professor of nutrigenetics at

Mayo Clinic is a clinical collaborator on an award of up to $27.7 million from the Advanced Research Projects Agency for Health (ARPA-H) to help develop affordable, scalable gene-editing therapies for children with rare inherited immune disorders.

A compound found in coffee, fruit and vegetables may help protect the stem cells needed to make sperm from the damaging effects of deep freezing, according to a new study in mice. Researchers report that adding chlorogenic acid to the preservation medium used for spermatogonial stem cells improved the cells’ survival, proliferation and differentiation after […]

Researchers at the Center for Regenerative Medicine (CReM) at Boston Medical Center (BMC) and Boston University (BU) have developed a scalable method for generating CD4+ helper T cells from induced pluripotent stem cells (iPSCs), overcoming a longstanding challenge in the development of stem cell-based immunotherapies.

There's been a lot of talk about artificial intelligence's potential to transform drug research and discovery—and companies are spending billions in pursuit of that dream.

A thin coating that hides transplanted donor cells from the body’s immune system could enable a novel therapy for type 1 diabetes The post Encapsulated islet transplants restore blood sugar control in diabetic mice appeared first on Physics World.

A swarm of giant cockroaches may sound like the stuff of nightmares, but Australian researchers say the insects could one day be used by search-and-rescue teams to deliver...

Huawei intends to sign more AI partnerships with pharmaceutical companies, according to William Zhang, president of its healthcare business unit, who told Reuters the projects currently run mainly with domestic Chinese drugmakers. The company sells compound screening tools alongside its Ascend and Kunpeng chips, the same domestic stack it has been building out since US […] This story continues at The Next Web

Intrinsic capacity is quickly becoming a preferred way to measure and assess human aging.

Saudi Arabia is pairing gene editing breakthroughs with new biomanufacturing capacity, from CRISPR oncology therapies to CDMOs like Lifera, as it builds a full biotech pipeline. The post Genomes to bioreactors: Saudi Arabia’s gene editing oncology push appeared first on Labiotech.eu. © Labiotech UG and Labiotech.eu. Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Labiotech UG and Labiotech.eu with appropriate and specific direction to the original content.