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Senescent cells accumulate with age throughout the body, either in response to forms of damage and stress or on reaching the Hayflick limit on replication. A senescent cell ceases to replicate, grows in size, and secretes a potent mix of pro-growth, pro-inflammatory signals. In youth, the immune system efficiently clears senescent cells, but with age this clearance falters. Like most of the progression of degenerative aging, the accumulation of senescent cells with age is nonlinear. This is in part because the decline of the immune system accelerates in later life, but it is also the case that the signaling generated by senescent cells can induce nearby cells to also become senescent. Thus senescent cells emerge at an accelerating pace as their numbers grow. In today's […]

Adolescents Are Turning to AI Chatbots for Mental Health Conversations, New Study Examines Artificial intelligence chatbots are becoming an unexpected part of the mental health landscape for adolescents, and a new study is examining how frequently young people use these systems to discuss emotional and psychological concerns. The cross-sectional research, published in JAMA Network Open, […]

Regenxbio said it no longer expects to file for FDA approval of its Hunter syndrome gene therapy in the near future after the program was slapped with its second clinical hold this year. The company ...

What we eat plays a vital role in maintaining a healthy lifestyle. A well-balanced meal rich in essential micronutrients not only fuels the body but may also help protect against metabolic and cardiovascular diseases. There is another question worth asking: Does when we eat matter just as much as what we eat?

AI platform iGenRARE could help doctors diagnose rare diseases by connecting medical clues, with researchers reporting up to 91% accuracy.

Both too little and too much sleep may be linked to faster aging throughout the body. Researchers analyzing 23 biological aging clocks found the lowest aging levels among people sleeping about 6.4 to 7.8 hours per day. Short or long sleep was also associated with numerous conditions affecting the brain, heart, lungs, metabolism, and digestive system.

Surgery remains the primary curative treatment for gastric cancer, with laparoscopic gastrectomy (LG) established as a standard minimally invasive approach. While LG offers faster recovery than open surgery, it remains technically demanding because surgeons must operate within a confined space using rigid instruments that can amplify hand tremors.

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Surgery remains the primary curative treatment for gastric cancer, with laparoscopic gastrectomy (LG) established as a standard minimally invasive approach.

A nationwide study in Japan has found that robotic gastrectomy may provide several measurable advantages over conventional laparoscopic surgery for people undergoing treatment for gastric cancer. The analysis, based on nearly 23,000 matched surgical cases, associated robotic procedures with lower blood loss, fewer conversions to open surgery, reduced infection risk in some patients, and shorter […]

Maintenance therapy is linked to longer overall survival after first-line bevacizumab-based combination chemotherapy in patients with metastatic colorectal cancer, a study finds.

Long‑term outcomes after liver transplantation remain hampered by complications linked to intensive immunosuppression—infections, cardiovascular events, kidney dysfunction, and metabolic disorders affect 10% to 40% of recipients.

The various mitochondrial protein complexes are the building blocks of the electron transport chain, the complicated mechanism inside mitochondria that generates adenosine triphosphate (ATP), the chemical energy store molecule used to power cell activities. Nothing in a cell is simple, and the mitochondrial complexes do not operate neatly in isolation from one another. They drift in and out of supercomplex arrangements of multiple complexes, and it turns out that this supercomplex activity is important to mitochondrial function, and thus to the pace of aging. Researchers recently demonstrated that aging in mice can be slowed by inducing more supercomplex formation, for example. Here, find a review that covers what is known of the role of supercomplexes in aging and longevity. One of the hallmarks of aging […]

The AMA released a framework insisting that physicians stay central as AI enters care. A JAMA opinion published days earlier argues the reverse.

arXiv:2608.21326v1 Announce Type: new Abstract: Autonomous AI diagnostic agents, systems that analyse patient-specific clinical data and produce diagnostic outputs or triage decisions without mandatory real-time human review, are increasingly deployed across eHealth platforms in sub-Saharan Africa at a pace that has outrun the governance infrastructure needed to oversee them. While significant bodies of work address AI accountability, transparency and explainability in healthcare, existing frameworks are largely clinician-centered and assume regulatory conditions that do not uniformly exist in low-resource settings. A patient-centered analysis of the disparity in patient awareness regarding autonomous agents, which results in a structural accountability gap, is mostly missing from the literature. This paper synthesizes existing research on informed consent, algorithmic accountability, and explainable AI to highlight three distinct challenges introduced by deploying AI agents in the

arXiv:2608.21133v1 Announce Type: new Abstract: Medical image-text data can expose protected health information (PHI) through both visible image content as well as accompanying text, creating a barrier to privacy-preserving medical AI systems. This risk is especially prominent in multimodal systems, where images, questions, reports, and clinical context may enter training, evaluation, or inference pipelines. Existing medical vision-language benchmarks primarily emphasize task utility, while de-identification methods are often evaluated separately from downstream reasoning. We introduce ClinX, an end-to-end multimodal PHI sanitization framework for medical image-text data. ClinX detects visible identifiers with optical character recognition (OCR), constructs binary PHI masks, and applies ClinX-PRISM, a no-skip generative restoration module with privacy-oriented post-processing for burned-in identifier suppression. In parallel, text-side PHI is reduced through progressive

arXiv:2608.21057v1 Announce Type: new Abstract: Agentic large language model (LLM) systems are reshaping scientific workflows in chemistry and drug discovery, but evaluating their open-ended, tool-augmented outputs remains a fundamental bottleneck. Reference-based metrics such as BLEU and ROUGE fail to capture semantic correctness, while expert human evaluation does not scale to the iteration speed these systems demand. The LLM-as-a-Judge paradigm has emerged as a scalable alternative, but existing drug discovery benchmarks deploy LLM judges without validating their alignment with human experts. In this work, we present an LLM-as-a-Judge evaluation framework for ChatInvent, an agentic drug discovery assistant deployed at AstraZeneca, with four contributions. First, we define four output-quality evaluation dimensions---Completeness, Relevancy, Structural Clarity, and Scope Adherence---alongside deterministic Tool Call Correctness checks. Second, we validate the judge through a human

The FDA authorized Aletta, the first standalone robotic blood-draw device. One phlebotomist can oversee three units. What the authorization covers.

AI is increasingly being used across precision oncology to accelerate drug discovery, predict resistance, and guide the design of nanoparticle-based drug-delivery systems. The review highlights AI-guided nanocarriers, adaptive treatment strategies, and multi-omics analysis while emphasizing challenges involving data quality, transparency, generalizability, and regulation.

Dogs and humans may share surprisingly similar metabolic signatures linked to lifespan. New research from the Dog Aging Project suggests that dogs and humans share some of the same biological patterns linked to lifespan. The finding could help scientists better understand how aging works in both species. In a study recently published in The Journals [...]

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Dr. Ronald Primas, a longevity physician, offers concierge services like developing personalized health plans for clients. Here are his own wellness practices.

The latest news and headlines from Yahoo! News. Get breaking news stories and in-depth coverage with videos and photos.

The U.S. Food and Drug Administration has authorized Aletta as the first standalone robotic device that can draw blood from a patient's arm. Marketing authorization was granted to Vitestro.

Katie Roof / Business Insider: Sources: Devoted Health, which uses AI to help coordinate medical care for those enrolled in Medicare Advantage, is raising new funding at a $25B valuation  —  Devoted Health is the latest startup to show that combining health and AI commands a premium valuation.

FRIDAY, Aug. 21, 2026 — The next time you roll up your sleeve for a blood test, the hand holding the needle may not be a hand at all.Federal regulators have authorized the first robot capable of drawing blood from a patient's arm on its own, with...

A new study published in Nature Communications reports a six-compound chemical cocktail designed to mature liver spheroids made from human pluripotent stem cells, a development that could help researchers predict drug toxicity with greater biological realism. Led by Tian, Anas, Hasselkus and colleagues, the work addresses a long-standing weakness in laboratory testing: many experimental liver […]

The seven-year competition just named its top 10 finalists.

Scoliosis is a condition characterized by an abnormal sideways curvature of the spine and most commonly develops during adolescence. Doctors typically assess its severity by measuring spinal curvature on X-ray images. This measurement plays an important role in diagnosis, follow-up evaluation and treatment planning.

The FDA is seeking feedback on a potential way of regulating medical devices equipped with generative AI features, informed by the process of training human clinicians.Described as a “competency-based approach,” the process would evaluate AI-equipped devices in increasingly clinical scenarios, including potentially with real patients.It is “inspired, at a high level, by how human clinicians are evaluated and credentialed,” according to an FDA discussion paper.The paper also discussed ongoing evaluation of AI devices after they come to market, noting that the FDA is “considering whether it is

Rather than generating new wet-lab data for every compound, DeepCyte trains a foundation model that is capable of predicting toxicity mechanisms for compounds that it has never measured. The post DeepCyte Launches Single-Cell Metabolomic Reference Atlas of Drug Toxicity Mechanisms appeared first on GEN - Genetic Engineering and Biotechnology News.

By using chemical signals to guide cells to adopt distinct regional identities, scientists created lab-grown human organoids that mimic early brain development and could illuminate how specialized brain areas emerge. The post Lab-Grown Neocortex Models Mimic Early Brain Organization appeared first on GEN - Genetic Engineering and Biotechnology News.

A new study reports a strategy for delivering gene-editing technology directly to human haematopoietic stem cells inside the body, using targeted lipid nanoparticles rather than viral vectors. Published in Nature Biomedical Engineering, the work by Zhiwei Luo, A.T. Zhu and Michael J. Mitchell describes an approach designed to overcome one of the most difficult problems […]

The human brain is often described as one of the most complex structures in biology, and much of its power comes from how it's organized. Its outer layer, the cerebral cortex, is not one uniform sheet. As the brain develops, it divides into distinct areas that each take on different jobs, from movement and vision to memory, language and social understanding.

Of more than 1,300 AI medical devices cleared by the FDA, only three tested for patient-centered outcomes like death and morbidity, data show.AI integration into healthcare is rapidly progressing. Medical societies like the AMA have called for stricter regulations due to concerns about bias and transparency in clinics and health insurance decision-making.According to Rawan Abulibdeh, a postdoctoral fellow at University Health Network in Canada, and colleagues, the FDA has cleared at least 1,357 AI medical devices.“Clinical decisions increasingly depend on algorithmic outputs,” they wrote in

A new study published in Nature Communications is drawing attention to a bioengineered approach that could reshape the future of coronary artery bypass surgery. Researchers A. Krouse, M. Soule, C. Gross and colleagues report 18-month patency for an acellular regenerative conduit designed to function as a replacement vessel in coronary artery bypass. Patency is one […]

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. This company’s plans to deploy space mirrors could jeopardize the night sky for many A company that plans to beam sunlight from space to Earth on demand might unintentionally brighten the…

Undergoing lung transplant vs. receiving medical management alone led to greater 1-year survival in adults with medically refractory, lung-limited, stage IV non-small cell lung cancer, according to results published in JAMA.“We are not saying lung transplant is appropriate for every patient with stage IV lung cancer,” Ankit Bharat, MD, chief of thoracic surgery and director of the Canning Thoracic Institute, said in a press release.“We are saying that when the cancer is rigorously proven to be confined to the lungs, when standard therapies have been exhausted, and when the lungs themselves

For decades, stem cell transplantation has operated under a simple rule: The closer the donor match, the better. Patients with leukemia, lymphoma, myelodysplastic syndromes and other blood cancers often faced an extensive search for a donor whose immune system markers aligned as closely as possible with their own.

‘Confirmation bias on steroids’: Cases of AI psychosis accumulate as we learn what happens when a very convincing computerized companion never disagrees with you.

FDA granted accelerated approval to Genglycos for glycogen storage disease type Ia. It reduces cornstarch use, and the long-term benefit is unproven.

A team of researchers from the Chinese University of Hong Kong (CUHK) has conducted the city’s first robot-assisted pelvic fracture surgery in what promises to be a safer, less intrusive alternative to a procedure typically considered among the most challenging. CUHK’s faculty of medicine on Friday said the novel orthopaedic robotic surgical system could turn a “new page” in trauma care amid a rising number of pelvic fracture cases among the city’s rapidly ageing population. Dr Ronald Wong...

A new jab extended the length of time patients were cancer free, but it is unclear for how long.

Patient populations with inflammatory musculoskeletal disorders are aging rapidly, and the research exploring aging processes is not always keeping pace.According to Michael R. McClung, MD, FACP, FACE, founding director of the Oregon Osteoporosis Center in Portland, cellular senescence represents an important component of aging and a major focus area of this research.“Cellular senescence is a hallmark of the aging process,” McClung told Healio. “Animal studies suggest that the accumulation of senescent cells in muscle and bone is tightly correlated with sarcopenia and osteoporosis.”Meanwhile,

When the biotech company Insilico Medicine used its computer models to propose a promising drug for pulmonary fibrosis, it enthusiastically claimed in a press release that the molecule had been “discovered by” its generative AI platform. Insilico leads a pack of companies using AI to rapidly come up with drug ideas humans might never think…

New 3D-printed corneal implants could help make up for the shortage of donor corneas available for transplant procedures, say Precise Bio co-founders Aryeh Batt and Dr. Anthony Atala.

arXiv:2608.19501v1 Announce Type: new Abstract: Diagnostic medical tests and devices provide useful information for evaluating the potential benefits and risks of therapeutic treatments. However, unlike treatments, their impact on health outcomes is generally indirect because measuring diagnostic information typically does not itself affect patient outcomes, which complicates evaluation of their effectiveness. In this work, we develop a causal inference approach for evaluating diagnostic tests by distinguishing explanatory and pragmatic effectiveness. Explanatory effectiveness evaluates whether a diagnostic test result provides treatment-relevant information beyond baseline covariates by explaining additional treatment-effect heterogeneity, which we characterize using a variance-based treatment-effect variable importance measure. Pragmatic effectiveness evaluates whether incorporating this information into personalized treatment decisions improves expected outcomes, a question central

arXiv:2608.19304v1 Announce Type: cross Abstract: Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges. Blood-based cell-free DNA (cfDNA) biomarkers offer a complementary approach, although early detection remains difficult because of lung cancer heterogeneity and high-dimensional, nonlinear molecular signals. We evaluated quantum-classical hybrid machine learning for lung cancer detection using DNA fragmentomics and DNA methylation. After feature selection, models were trained using 20- and 40-feature subsets. Features were encoded into quantum Hilbert space using angle and dense-angle feature maps with multiple entanglement strategies. Fidelity-based quantum kernels were computed with exact statevector simulation and integrated with precomputed-kernel SVM and kernel-PCA logistic regression and compared with an SVM model trained on the original features. This framework enabled

arXiv:2608.20154v1 Announce Type: new Abstract: Minimally invasive colorectal surgeries (MIS-CRS) are characterised by significant variability and inconsistent outcomes. ColoWorkflow, a tool for the video-based assessment (VBA) of MIS-CRS workflow, was recently validated. However, manual VBA is time-consuming, limiting implementation. This study presents AI-ColoWorkflow, a deep learning model for automated surgical workflow analysis across MIS-CRS. Operative videos of MIS-CRS were collected from 4 centres and a publicly available dataset. Phases and steps were manually annotated according to ColoWorkflow. A deep learning model combining a fine-tuned DINOv3 vision transformer for per-frame visual feature extraction with a hierarchical multi-stage temporal convolutional network was jointly optimized for phase and step recognition. The model trained on pooled multicentric data, namely AI-ColoWorkflow was compared against centre-specific and procedure-specific models on a held-out test

arXiv:2608.19527v1 Announce Type: new Abstract: AI clones that imitate a specific person typically reproduce what the person says and how they sound, but not how they listen. We investigate whether adding multimodal listening behaviors gives such a clone more presence and authenticity. We integrated verbal backchannels and head nodding, driven by real-time prediction models, into an AI clone equipped with voice cloning and LLM-based responses. In a within-subjects study (N=35), adding these behaviors significantly improved the perceived attentiveness of the avatar, the sense of talking with the real person, and the feeling of co-presence. These results indicate that AI clone fidelity should extend beyond voice and response content to include interactive listening behavior.

arXiv:2608.19304v1 Announce Type: new Abstract: Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges. Blood-based cell-free DNA (cfDNA) biomarkers offer a complementary approach, although early detection remains difficult because of lung cancer heterogeneity and high-dimensional, nonlinear molecular signals. We evaluated quantum-classical hybrid machine learning for lung cancer detection using DNA fragmentomics and DNA methylation. After feature selection, models were trained using 20- and 40-feature subsets. Features were encoded into quantum Hilbert space using angle and dense-angle feature maps with multiple entanglement strategies. Fidelity-based quantum kernels were computed with exact statevector simulation and integrated with precomputed-kernel SVM and kernel-PCA logistic regression and compared with an SVM model trained on the original features. This framework enabled

Less than a year after earning his doctoral degree in chemical and biomolecular engineering from Rice University, Thiago

Stopping tumor growth is only half the battle. Rather than kill tumor cells, many cancer therapies can only push them into cellular senescence, a state in which cells stop dividing but do not die. These "undead" cells will continue to release signals that reshape the tumor environment.

Blood cancer patients who cannot find a closely matched stem cell donor may soon have a broader path to transplantation. New findings from the multicenter ACCESS clinical trial suggest that carefully selected younger donors with substantial genetic mismatches can still produce encouraging outcomes when transplantation is paired with post-transplant cyclophosphamide, a treatment strategy designed to […]

Researchers found that among 1,357 FDA-cleared or approved AI/ML-enabled medical devices, only 34 were linked to registered clinical trials and just three had been evaluated for patient-centered outcomes. The study highlights major gaps in prospective testing, demographic representation, transparency, and evidence showing whether medical AI meaningfully improves patients’ health.

Austrian researchers grew a mouse cerebral cortex in a dish. It made the right cells, but the stem cells abandoned the schedule that a real brain follows.

IRVINE, Calif., Aug. 20, 2026 — The human cerebral cortex is often portrayed as a single folded sheet of neural tissue, but its remarkable abilities depend on a much more precise arrangement. During embryonic development, the cortex is divided into areas with distinct molecular identities and developmental trajectories. Regions toward the front of the brain […]

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The NHS is rolling out blood matched for red and white cells to kidney transplant patients, potentially averting 100 rejections a year.

Scientists led by Julie Kim, Ph.D., the Susy Y. Hung Research Professor of obstetrics and gynecology in the Division of Reproductive Science in Medicine, have developed a novel stem cell platform that provides a new way to study the biology of endometriosis in humans more accurately than current model systems.

Robotic phlebotomy clears the regulator The U.S. Food and Drug Administration has authorised the Aletta, the first standalone

A kidney transplant recipient with progressive malakoplakia triggered by multidrug-resistant Escherichia coli was successfully treated with a first-in-human engineered bacteriophage cocktail, researchers reported.Bacteriophages — or phages — are viruses that target and consume bacteria. They have shown promise in recent years as a nontraditional alternative to antibiotics for patients with drug-resistant infections.The patient treated for malakoplakia in the case report published recently in Clinical Infectious Diseases received a therapy called SNIPR001 (SNIPR Biome), which includes four

Cancer diagnoses directly affect treatment decisions and prognosis and can even have life-altering consequences.

Cancer diagnosis is entering a new phase in which artificial intelligence does more than identify patterns in tissue. Researchers at The Hong Kong Polytechnic University have developed a framework designed to show when pathology AI can be trusted, when its predictions are uncertain and when a human pathologist must take over. Called TRUECAM, the system […]

An Australian research collaboration has identified several existing TGA-approved medicines that could help slow brain damage in children with a rare form of dementia—offering hope for faster treatment options.

After Moderna stock surge of 177% on cancer drug breakthrough, here's what Wall Street thinks happens next  Yahoo FinanceFrom Covid to Cancer: How Moderna’s Stock Jumped 177% in a Day  The New York TimesCancer vaccine from Moderna, Merck shows promise in late-stage trial; both stocks soar  CNBCWhy Did MRNA, MRK, TGT Stocks Jump To 52-Week Highs Today?  Yahoo FinanceForbes Daily: Moderna Stock Surges On Landmark Cancer Vaccine Trial  Forbes

After Moderna stock surge of 177% on cancer drug breakthrough, here's what Wall Street thinks happens next  Yahoo FinanceFrom Covid to Cancer: How Moderna’s Stock Jumped 177% in a Day  The New York TimesCancer vaccine from Moderna, Merck shows promise in late-stage trial; both stocks soar  CNBCWhy Did MRNA, MRK, TGT Stocks Jump To 52-Week Highs Today?  Yahoo FinanceForbes Daily: Moderna Stock Surges On Landmark Cancer Vaccine Trial  Forbes

A hospital in east China has used reprogrammed stem cells to treat severe heart failure, with 90 per cent of patients showing significant recovery in heart function after the novel therapy. On Wednesday, Nanjing Drum Tower Hospital, affiliated with Nanjing University, released the long-term follow-up results of a phase 2 clinical study, which was published in the journal Nature Medicine. While dead heart muscle cannot regrow, this stem cell technology can help ageing or damaged hearts grow new...

BOSTON, Mass., Aug. 20, 2026 — Longevity science is moving rapidly from the laboratory into drug-development pipelines, clinical trials and investment portfolios, and the next stage of that transformation will be showcased at the 13th Aging Research & Drug Discovery (ARDD) Meeting, scheduled for October 1–3 at Harvard University’s David Rubenstein Treehouse. Insilico Medicine, the […]

VERONA, WI — Epic showed off its continued expansion of AI for clinicians and patients at its annual Users Group Meeting on Tuesday, putting pressure on startups across the health tech industry. Dressed in a ...

Drug-target interaction prediction can help researchers explain mechanisms of action, identify candidate targets, reposition existing medicines and prioritize compounds before costly laboratory work.

TIME set out to find some of the most innovative leaders who are starting to show concrete results in helping us to live longer, better.

Research by Uri Alon has found that genes affect longevity significantly more than previously believed. That doesn't mean you're doomed.

Justice, executive director of XPRIZE Healthspan, wants teams to prove human aging can be measurably reversed, not just slowed.

The geneticist has played an instrumental role in pushing the idea that existing drugs could be repurposed as longevity-boosting treatments.

CRISPR experiments have become remarkably precise at the level of individual DNA letters, yet proving exactly what happened inside a genome remains a difficult analytical challenge. A new study in Nature Biomedical Engineering introduces CRISPRLungo, a computational approach designed to analyse long-read sequencing data from genome-editing experiments. Developed by researchers including GH Hwang, B. Vyshedskiy […]

A free year of Google AI Pro Google is giving eligible college students in the United States a

Ultragenyx has secured its first approved gene therapy, with the FDA clearing its asset for an ultra-rare disease that can cause life-threatening blood sugar crashes. The FDA on Wednesday granted accelerated ...

arXiv:2608.18836v1 Announce Type: new Abstract: Utilities lose a substantial share of treated water to leakage, yet rarely trust artificial-intelligence localizers to dispatch crews: guessing everywhere cannot justify excavation. The gap is accountability, not accuracy: no method proves when it should not act. Here we recast leak localization as decision-making under verifiable abstention. A physics-grounded executor agent falsifies hypotheses (leak, demand, sensor, valve) against a digital twin; an independent supervisor agent, with a large-language-model (LLM) auditor, checks evidence against a code-verifiable contract, then certifies a dispatch, requests evidence or abstains. Under field-grade noise, a 32% forced baseline becomes 96% decision precision on acted events. On an independently generated benchmark it acts on only 4 of 33 leaks, all correct. A 194-event register of audited real leak locations with twin-simulated pressures and flows yields five excavation dispatches, three

arXiv:2608.18438v1 Announce Type: new Abstract: Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a "supervision gap" where novice therapists manage high-stakes risks with delayed professional feedback. This paper proposes a new framework utilizing a fine-tuned Mistral-7B-instruct model as an automated "Supervisor-in-the-Loop" system. By leveraging 106 sessions from the DAIC-WOZ dataset, the model performs a tri-stream analysis: (1) Therapeutic Alliance tracking via semantic adherence, (2) Latent risk prediction using attention-weighted analytics, and (3) Supervisory Triage via a Dynamic Clinical Urgency Index (D-CUI). Our multi-modal VAL (Visual-Acoustic-Linguistic) framework achieves 95% technique identification accuracy [95% CI: 75.1%-99.9%], alliance assessment MAE of 0.105 on a 5-point scale [95% CI: 0.059-0.151], therapeutic fidelity alpha = 0.423, and mean D-CUI of 0.370 [95% CI: 0.322-0.419]. Training converged in 105 steps with

arXiv:2608.18270v1 Announce Type: new Abstract: Reliable tool--tissue contact detection can support interaction-aware control and downstream force estimation in robot-assisted surgery. Most existing methods learn a contact classifier from RGB appearance, which is hard to generalize. In this work, we use the depth image generated from a stereo pair to give more information about tool--tissue contact. For each depth frame, we localize a spatially supported minimum-distance patch around the tool boundary and reduce it to a single scalar, $-\log_{10}|d|$; this signal rises and falls in step with ground-truth contact. We formalize this observation with a fully supervised two-state hidden Markov model. We fit this model as a six-fold leave-one-session-out (LOSO) ensemble on six palpation sessions against a single silicone cup-like phantom, with the decision threshold selected from the pooled out-of-fold predictions. It is evaluated on four held-out sessions of three categories: 1. same task

arXiv:2608.18186v1 Announce Type: new Abstract: In the past few years, machine learning (ML) has been widely (and to an extent, successfully) implemented in medicine. However, uncertainties surrounding ML have made it difficult to establish the bases of its epistemic and methodological warrants. In the literature, a parallel has been drawn between medicine and ML, suggesting that we should model epistemic and methodological standards for ML on the standards of clinical translation. By developing tools from Hesse work, we characterise the nature of this parallel as a generative analogy between the process of clinical translation and the process of building ML systems. We identify more precisely the epistemic and methodological warrants of clinical translation that are typically only mentioned when appealing to the analogy, and we show in which sense such warrants apply analogically to the context of ML. In particular, we interpret warrants of clinical translation in reliabilist terms,

arXiv:2608.18135v1 Announce Type: new Abstract: Introduction: Medication errors (MEs) represent a significant threat to global healthcare systems, contributing to patient harm. Introducing artificial intelligence (AI) in rural healthcare enhances patient safety. The aim is to explore the applications and effectiveness of AI technologies in enhancing patient safety and reducing medication errors in rural health settings. Methods: A scoping review was conducted through a systematic literature search spanning 2012 to 2025 across multiple databases, including EBSCohost, Emcare (Ovid), MEDLINE, and the ProQuest Consumer Health Database. Twelve primary studies from nine different nations were examined. Data were analysed thematically to obtain insights on AI interventions across the medication process. Results: AI technologies have been integrated into every stage of medication management, right from prescribing and dispensing to administration and post-administration monitoring. Four

Waitrose has launched a two-part National Geographic CreativeWorks series showcasing regenerative farming at its Leckford Estate in Hampshir...

A sweeping review of artificial intelligence in American medicine has delivered a stark verdict: most AI and machine-learning devices cleared for patient care have never been tested to determine whether they actually improve patients’ health. Among 1,357 AI-enabled medical devices authorized by the U.S. Food and Drug Administration through December 5, 2025, researchers identified only […]

Source: National Scleroderma Foundation - PDFRelated MedlinePlus Pages: Scleroderma

Researchers from the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC have found that two distinct types of brain tissue work together to support cognition in older adults, and that the health of the brain's short-range wiring may help soften the cognitive effects of gray matter loss.

A new analysis shows that, of 1,357 artificial intelligence (AI)-based medical devices authorized by the U.S. Food and Drug Administration (FDA) for use in patient care, only three had been tested on whether they actually improve patients' health.