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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.

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 signals—prompting immune cells to attack—while simultaneously delivering gene therapy. The approach is expected to offer a new treatment strategy that combines cancer immunotherapy and gene therapy in a single nanoparticle.

FDA-approved Lytenava, the first ophthalmic bevacizumab for wet AMD, replaces compounded repackaging of a cancer drug. What changes for patients.

Fake AI doctors and AI-generated health influencers are flooding social media with false medical claims and dubious supplements, raising urgent concerns over consumer safety and online trust.

A remote intervention aimed at improving medication adherence may reduce organ rejection in liver transplant recipients at high risk.

arXiv:2607.23524v1 Announce Type: new Abstract: Deep search is becoming a core capability of modern agent systems, yet it is typically evaluated solely based on end-to-end answer accuracy. This coupled evaluation paradigm entangles retrieval quality, long-context comprehension, evidence verification, and tool-use decisions, making it difficult to determine whether a model truly knows when and how to delegate information seeking to search. To this end: (1) We formalize this meta-capability as Delegation Intelligence in deep search and decompose it into complementary dimensions-Search Decision-Making (recognizing information insufficiency and deciding whether, when, and how to search) and Information Synthesis and Verification (aggregating evidence from multiple sources, judging source reliability, and synthesizing information under noisy, potentially adversarial conditions). (2) To enable disentangled and reproducible measurement, we develop a controllable synthesis pipeline built on

arXiv:2607.22739v1 Announce Type: new Abstract: We study how far a deliberately simple behavioral-cloning policy can progress in a visually rich first-person game before adding reinforcement learning or explicit memory. Cortex is a compact Quake policy with 10.98 million trainable parameters in a six-layer transformer over a frozen DINOv3 encoder. It is trained on the Quake subset of the public Pixels2Play corpus: 6,849 recordings (about 474.7 hours), represented as 17.09 million cached decision frames with keyboard and mouse actions. One sampled training epoch uses 517,048 four-frame windows and takes 3.3 minutes of policy-head optimization on one RTX 5080, excluding one-time feature extraction. We evaluate two independent batches of 20 stochastic, 120-second episodes on Quake E1M1. Cortex does not complete the level, but every episode reaches the opening door, button room, and gate descent; 19 of 20 episodes in each batch record at least one kill. Under the same time-controlled

arXiv:2607.22692v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for emotional support despite lacking mechanisms to safely govern evolving mental health risk. Existing safety approaches primarily detect risk but rarely shape how models respond as conversational risk unfolds. We developed a model-agnostic safety governance architecture that combines contextual risk detection, reasoning-based verification, and protocol-guided response generation for multi-turn mental health interactions. Synthetic conversations grounded in real-world mental health narratives were used to evaluate the architecture's performance, tested with GPT-5-chat and Qwen3.5-27B, achieving high risk detection performance (specificity: 0.85 (95\%CI: 0.78;0.91), sensitivity: 0.92 (95\%CI: 0.88;0.95)) and increasing clinician-preferred escalation responses by 25.6--59.2pp while preserving rapport and connection. Performance remained stable across conversation length and generalized

arXiv:2607.22606v1 Announce Type: new Abstract: Health systems are rapidly deploying generative AI assistants that answer patient questions from institution-authored education materials, on the premise that grounding in local content yields consistent guidance. Whether it does depends on a question not previously measured at scale: do the underlying documents themselves agree? We use a structured-output large language model judge to audit 5,730,465 pairwise comparisons across 102 patient-education handbooks from 23 US solid-organ transplant centers, paired with 1,115 patient-derived questions (TransplantQA). Four findings bear directly on deployment: (1) institutional editorial voice statistically transcends organ-type boundaries, with same-center handbooks agreeing across organs more than same-organ handbooks across centers (p = 0.0056); (2) information gaps fall disproportionately on topics central to underrepresented subgroups, with reproductive health showing double jeopardy: it

arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand and evaluate only very short fragments in simulation. We present QFoldAgent, a closed-loop multi-agent framework for 5-residue tetrahedral-lattice folding in which a design agent proposes sequence-conditioned penalties, a VQE-based quantum-classical pipeline optimizes the resulting Hamiltonian under Qiskit Aer noise, and a feedback agent uses energy-landscape diagnostics and MolProbity validation signals to refine penalties across cycles. Ground-truth metrics such as RMSD are never exposed to the agents and are used only for evaluation. We study the framework on two complementary datasets: 55 QDockBank-derived fragments with known structures and 100 coverage-optimized unseen sequences. On the QDockBank benchmark, QFoldAgent reduces median RMSD from 3.64 \AA{}

Bacteria face relentless pressure from bacteriophages, yet their protective arsenals include many partially independent defense modules. A central question has been how these modules coordinate rather than compete—especially when multiple innate immunity systems are arranged across the same genome. In a new study, researchers reveal a regulatory strategy in which CRISPR–Cas does more than target […]

An international team of researchers, clinicians, educators, ethicists and patient partners has developed and validated the Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework. Published in JMIR Medical Education, the study provides a consensus-backed roadmap for the responsible integration of AI across the health care learning and practice continuum.

A new study reveals that lignin - a natural plant polymer - can be transformed into a bioactive material that promotes the formation of bone-like minerals while supporting the growth of bone-forming cells.

ChatGPT stops cloning famous writers’ voices but may capture a "similar feeling"  Ars Technica

ChatGPT stops cloning famous writers’ voices but may capture a "similar feeling"  Ars Technica

New robotic vision system turns scuba bubbles into vital health data. Continue reading This AI watches your bubbles to monitor your health underwater on Tech Explorist.

Gene editing is a highly precise and powerful technology that allows scientists to insert, delete, modify or replace DNA bases in living organisms. It has a variety of uses, including correcting disease-causing mutations and improving crops. Tools like CRISPR act as molecular scissors that target specific places in a genome to make these changes. But the technology is not perfect and can accidentally edit the wrong pieces of DNA or RNA.

Buck Institute researchers report APOE2 helps neurons repair DNA and resist senescence. The work is preclinical, in lab-grown cells and mice.

Biomedical engineers at Duke University have demonstrated a method for systematically developing novel, complex combinations of probiotics and prebiotics to more effectively maintain gut health and treat various gastrointestinal diseases.

Scientists used CRISPR to make prostate cancer cells easier for the immune system to detect and destroy. The experimental treatment dramatically improved the effects of immunotherapy in mice and may offer hope for other hard-to-treat tumors.

Despite improvements in how AI chatbots detect and respond to suicidal ideation, they still struggle with most other mental health conditions, researchers found.

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing toxicology and decision-making processes.

A team led by Wan, Wan, and Liu has unveiled a viral-sounding breakthrough aimed at catching early-stage Parkinson’s disease before symptoms become clinically obvious. Published in npj Parkinson’s Disease in 2026, the study focuses on a detection pipeline built around non-contact, multi-modality measurements paired with artificial intelligence, targeting the earliest window where intervention could plausibly […]

Patients and their care partners cited kidney transplant failure as an event that felt “inevitable” yet “surprising,” according to study data.Kidney transplant failure occurs when a kidney transplant recipient is expected to need dialysis, retransplantation or conservative kidney management within 1 year, according to Pippa Bailey, PhD, professor of renal medicine at Bristol Medical School in the United Kingdom, and colleagues. However, perspectives about the transition from kidney transplant failure to another kidney replacement therapy option have been underreported in qualitative studies,

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…

LA County Public Health will surface local outbreak alerts inside an AI clinical search tool used by doctors. What it means for patients and oversight.

arXiv:2607.22397v1 Announce Type: cross Abstract: Frozen EEG encoders proliferate; per-model fine-tune defaults do not scale. We present Nimbus Personalizer: one contract encode to Bayesian head to BrainState (optional affine mid-tier) that sits on heterogeneous frozen trunks without a new personalization stack per architecture. Thesis (systems): the contribution is the trunk-agnostic API - not LDA-on-embeddings as an ML novelty - so OEMs integrate once and swap trunks. Evidence: the same surface runs on five classical trunks EEGNet, Shallow, Deep, Conformer, ATCNet x four MI datasets (18 cells) and on a foundation encoder (REVE) under the same Personalizer. Where embedding capacity exists, the head is a cheap default mid-point versus warm-start fine-tune or PEFT, costing orders of magnitude less adaptation wall time while recovering much of the fine-tune accuracy gain; calibration-only-when-clean holds in 12/18 cells. Head gains are supporting evidence that the API is useful where

arXiv:2607.22397v1 Announce Type: new Abstract: Frozen EEG encoders proliferate; per-model fine-tune defaults do not scale. We present Nimbus Personalizer: one contract encode to Bayesian head to BrainState (optional affine mid-tier) that sits on heterogeneous frozen trunks without a new personalization stack per architecture. Thesis (systems): the contribution is the trunk-agnostic API - not LDA-on-embeddings as an ML novelty - so OEMs integrate once and swap trunks. Evidence: the same surface runs on five classical trunks EEGNet, Shallow, Deep, Conformer, ATCNet x four MI datasets (18 cells) and on a foundation encoder (REVE) under the same Personalizer. Where embedding capacity exists, the head is a cheap default mid-point versus warm-start fine-tune or PEFT, costing orders of magnitude less adaptation wall time while recovering much of the fine-tune accuracy gain; calibration-only-when-clean holds in 12/18 cells. Head gains are supporting evidence that the API is useful where

arXiv:2607.22304v1 Announce Type: new Abstract: Synthetic data augmentation in speech is common practice for linguistic tasks like ASR, but has seen far less work for paralinguistic ones, especially clinical tasks where labelled data is expensive and some patient groups are underrepresented. Voice cloning is one such augmentation approach, but is typically evaluated on speech intelligibility (WER) or speaker similarity (SS) rather than on downstream performance, and it remains unclear whether these preserve the paralinguistic signal such tasks depend on. We benchmark eight voice cloning models on five paralinguistic tasks across public and clinical datasets, showing most preserve signal with modest degradation. We then clone English clinical speech into Japanese and find that training on cloned data outperforms raw cross-lingual transfer for depression and anxiety detection on real Japanese speech, suggesting voice cloning is a promising direction for augmenting clinical speech data

arXiv:2607.22153v1 Announce Type: new Abstract: Industrial health management increasingly relies on heterogeneous information sources, including condition monitoring systems, supervisory control and data acquisition systems, maintenance records, inspection results, and prognostic models. Although large language models provide new opportunities for cross-source reasoning, industrial data and analytical outputs differ substantially in structure, temporal resolution, physical meaning, and reliability. Directly integrating such heterogeneous information into a monolithic model may reduce interpretability, traceability, and adaptability to equipment and data changes. This paper introduces Industrial Tokenization, a conceptual interface for transforming source-specific analytical outputs into structured and machine-interpretable units of industrial evidence, termed Industrial Tokens. Unlike numerical tokens used to encode raw time-series data, Industrial Tokens represent domain-grounded

Individualized gene therapies reduce seizures and lead to developmental gains in two boys with severe, treatment-resistant SCN2A-related epilepsy.

The advice arrives in the confident cadence of a physician. Microwaving food in plastic gives you cancer, a spoonful of Coca-Cola mixed with onion will ease your pain, and a supplement called “Hyalethinap Plus Pro Max” will fix your hair, nails, and joints in one go. The doctor delivering it does not exist. A study […] This story continues at The Next Web

Neonatal intensive care units are increasingly becoming decision laboratories: clinicians must synthesize rapidly changing vital signs, lab results, imaging, and historical context—often under time pressure where errors can have irreversible consequences. In this environment, artificial intelligence (AI) is being positioned as a cognitive co-pilot, offering faster retrieval of relevant medical knowledge and the ability to […]

Immune dysregulation may contribute to depression, schizophrenia, bipolar disorder, and anxiety through chronic inflammation, altered neuroimmune signaling, genetic susceptibility, and stress-related epigenetic changes. Evidence also suggests that biologically defined patient subgroups may benefit from more precise, immune-informed approaches to diagnosis and treatment.

World's first transmissible cancer in a freshwater fish discovered: What scientists know about this rare  The Times of IndiaBrown bullhead catfish melanoma represents a novel transmissible cancer  NatureScientists Discover The Fourth Transmissible Cancer Known To Science  ForbesDeep in This Lake, a Contagious Cancer Is Spreading  The New York TimesScientists discover 1st known likely transmissible cancer in wild catfish  ABC News - Breaking News, Latest News and Videos

World's first transmissible cancer in a freshwater fish discovered: What scientists know about this rare  The Times of IndiaBrown bullhead catfish melanoma represents a novel transmissible cancer  NatureScientists Discover The Fourth Transmissible Cancer Known To Science  ForbesDeep in This Lake, a Contagious Cancer Is Spreading  The New York TimesScientists discover 1st known likely transmissible cancer in wild catfish  ABC News - Breaking News, Latest News and Videos

Bacteria rely on CRISPR-Cas systems to survive attacks from bacteriophages, viruses that infect and hijack bacterial cells. Beyond its well-known role as an adaptive immune mechanism, CRISPR-Cas is now emerging as a more versatile regulator of bacterial defense. In a new study, researchers investigated the type I CRISPR-Cas system in Neisseria and uncovered an unexpected […]

A new study in Cell Death Discovery reports that exosomes released by neural stem cells can orchestrate a molecular chain reaction that strengthens the blood–brain barrier after radiation injury. Using transcriptomic analysis, the authors mapped how these small vesicles reshape gene expression in recipient cells, steering repair programs toward astrocyte maturation and cellular energetics. The […]

This open-source project uses 3D printing to build the core of a portable MRI machine, although it still has a lower resolution compared to multi-million-dollar full-sized machines. One tech expert suggested that an AI model be trained on high-field MRI data or the physics of the actual machine to overcome this limitation.

A leading Chinese scientist is under investigation by his university after a six-year-old girl reportedly died following experimental gene-editing therapy. The girl, named Mei, died days after receiving a treatment designed to correct a genetic mutation affecting her neurodevelopment in March last year, according to a report published by Science following a joint investigation with Retraction Watch, a non-profit organisation that monitors retracted research. Her parents said she had suffered a...

A Chinese university is looking into reports that a gene-editing trial caused the death of a 6-year-old girl, which was not disclosed in the published research, the school said Sunday.

Team uses AlphaFold AI to redesign gene-editing proteins to make them safer  Ars TechnicaPrecise DNA base editing using AlphaFold3-based contact modelling  NatureNobel Laureate Jennifer Doudna enters AI protein design arena  Fierce BiotechScientists Are Designing CRISPR Gene Editors With AI  SingularityHubChinese Scientists Develop ContactSeek AI Framework Based on AlphaFold3 Contact Probability: A New Precision Paradigm for Gene Editing Tool Design Published in Nature  Pandaily

Team uses AlphaFold AI to redesign gene-editing proteins to make them safer  Ars TechnicaPrecise DNA base editing using AlphaFold3-based contact modelling  NatureNobel Laureate Jennifer Doudna enters AI protein design arena  Fierce BiotechScientists Are Designing CRISPR Gene Editors With AI  SingularityHubChinese Scientists Develop ContactSeek AI Framework Based on AlphaFold3 Contact Probability: A New Precision Paradigm for Gene Editing Tool Design Published in Nature  Pandaily

The first photographs many parents have of their children are sonograms, used to check on the health of developing fetuses. These sonograms use noninvasive ultrasound technology, but the grainy, gray images they produce can lack diagnostic clarity.

Lily Mae Lazarus / Fortune: Candid Health, which develops tech and AI agents to automate medical billing and claims processing workflows, raised a $120M Series D led by Sixth Street Growth  —  Candid Health cofounder Doug Proctor spun his laptop around to show me a herd of wild horses grazing behind him in upstate New York during our first Zoom call.

The main function of CRISPR-Cas systems, the revolutionary tool scientists now employ to edit genes, is to defend bacteria against threats such as viruses called bacteriophages.

EchoNext received FDA clearance June 23, 2026, as the first AI to detect six types of hidden heart disease from a routine ECG. Here is what patients and doctors need to know.