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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.

Millie Pradawong Using AI and CRISPR to Rethink Biofuel   Most teenagers spend their free time scrolling through social media, playing video games or hanging out with friends. Here is a 14-year-old who is creating history with science and technology. Yes, you read it right. Meet Millie Pradawong, who spends her time thinking about algae, gene […] The post Meet 14-Year-Old Millie Pradawong, Using AI and CRISPR to Rethink Biofuel   appeared first on BioTecNika.

The number of Korean aged 100 years or older has nearly tripled in a decade on the back of improvements in medical treatment and living conditions, data showed Thursday. According to the data by the Ministry of Data and Statistics, the number of centenarians came to 8,604 as of Nov. 1, 2025, a sharp rise from 3,159 in 2015. The portion of centenarians to every 100,000 stood at 17.3 in 2025, up from 10.9 in 2015. The number of male centenarians accounted for 16.6 percent of the total with 1,428. By region, a quarter of the centenarians — 2,052 people — were living in Gyeonggi Province, followed by 1,268 in Seoul and 559 in North Gyeongsang Province, the data showed. The latest findings, meanwhile, showed that one in five centenarians live alone.

Three-year STARGLO data show that glofitamab plus chemotherapy roughly doubled median survival in relapsed lymphoma patients ineligible for transplant.

Childhood dementia is one of medicine’s most devastating and least understood frontiers: children lose memory, language, movement and independence as the developing brain progressively fails. A new study published in Nature Communications points toward a faster way to search for treatments. Greenberg, McDonald, Noreña Puerta and colleagues report a strategy that combines large-scale drug screening […]

Researchers studying immune cells in Japanese supercentenarians have found that normally rare, CD4 cytotoxic T lymphocytes become increasingly abundant with extreme age, and may help to stave off cancer. The post Rare Immune Cell Type in Supercentenarians May Help Maintain Healthy Aging appeared first on GEN - Genetic Engineering and Biotechnology News.

The FDA has approved a first-of-its-kind automated blood draw device for outpatient settings.

mRNA cancer vaccine succeeded in Phase 3 melanoma trial, Moderna and Merck say  Ars TechnicaModerna, Merck cancer vaccine shows promise in late-stage trial; Moderna stock soars 150%  CNBCCancerBuddy creator on ways to connect  KTVUA New mRNA Vaccine Could Prevent Melanoma From Returning  The New York TimesMSD and Moderna eye cancer vaccine market debut on Phase III melanoma score  Clinical Trials Arena

mRNA cancer vaccine succeeded in Phase 3 melanoma trial, Moderna and Merck say  Ars TechnicaModerna, Merck cancer vaccine shows promise in late-stage trial; Moderna stock soars 150%  CNBCCancerBuddy creator on ways to connect  KTVUA New mRNA Vaccine Could Prevent Melanoma From Returning  The New York TimesMSD and Moderna eye cancer vaccine market debut on Phase III melanoma score  Clinical Trials Arena

Gurudev Sri Sri Ravi Shankar champions permaculture as regenerative humanitarianism, empowering communities to restore soil, conserve water, strengthen livelihoods and build resilience beyond disaster relief.

Surgeons have injected mitochondria into failing pediatric hearts since 2017. A Chinese team says red-cell capsules solve the delivery problem.

In people with type 1 diabetes, the immune system mistakenly destroys the pancreatic beta cells responsible for producing insulin. Patients therefore require lifelong insulin therapy to regulate their blood glucose levels.

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.

An interdisciplinary team of engineers and chemists at Penn State has laid the groundwork for 3D printing spheroids—tiny clusters of living cells—capable of regenerating bone tissue in response to severe trauma or infections.

More effective purification materials would make viral vector production more efficient, say researchers working on an affinity adsorbent-based method they claim can differentiate between full and empty capsids more effectively than current methods. The post Vector Production a Bottleneck for Gene Therapy Sector appeared first on GEN - Genetic Engineering and Biotechnology News.

With smarter gym tracking, new health alerts, and offline Gemini, the Pixel Watch 5 fine-tunes a winning formula—for a price.

Victoria Song / The Verge: Google Pixel Watch 5 review: Improved GPS is good, gesture controls are great, but the new health features haven't rolled out yet and it is $50 more expensive  —  The Google Pixel Watch 5 has, in many ways, been the hardest Pixel Watch to accurately review.  Barely anything has changed in terms of hardware.

Miniature models of the brain don't seem to follow the same developmental timetable as real brains, which matters for research.

In people with type 1 diabetes, the immune system mistakenly destroys the pancreatic beta cells responsible for producing insulin. Patients therefore require lifelong insulin therapy to regulate their blood glucose levels.

Could this secret cellular weapon be the key to longevity?

The human immune system has specialized cells called CD4 cytotoxic T lymphocytes (CD4 CTLs), which have been shown to kill tumor cells in some cancers. When a person gets sick, these cells multiply in a process called clonal expansion to help fight infection. In a study published in the journal Cell Reports on Aug. 19, researchers show that these immune cells also may play a role in healthy aging among supercentenarians.

Memory clinics still rely on visual rating scales to assess brain atrophy, yet these tools lack the sensitivity to catch subtle changes associated with early dementia. A measure of how old a person's brain appears on brain scans compared with their actual age might be a potential predictor of who is more likely to develop dementia over the years, reports a new study published in Neurology.

Pixel Watch 1 not losing Google Health sleep, workout support  9to5GoogleGoogle Pixel Watch owners can breathe a sigh of relief after scary warning  PhoneArenaGoogle Mistakenly Notifies Original Pixel Watch Users of End of Support  jetstream.blogGoogle Scared Pixel Watch Owners With a False Warning — You're Not Losing Google Health Sync  Android HeadlinesGoogle is telling Pixel Watch 1 owners to update a watch that can’t update  Gadgets & Wearables

Pixel Watch 1 not losing Google Health sleep, workout support  9to5GoogleGoogle Pixel Watch owners can breathe a sigh of relief after scary warning  PhoneArenaGoogle Mistakenly Notifies Original Pixel Watch Users of End of Support  jetstream.blogGoogle Scared Pixel Watch Owners With a False Warning — You're Not Losing Google Health Sync  Android HeadlinesGoogle is telling Pixel Watch 1 owners to update a watch that can’t update  Gadgets & Wearables

The FDA released a discussion paper on regulating generative AI in medical devices and opened public comment to anyone through October 19.

Sugar-Sweetened Beverages Linked to Stomach Cancer For The First Time  ScienceAlertMost Americans drink at least one soda a day. It's associated with this type of cancer  USA TodayHow many sodas is too many? New study finds a troubling cancer link  Fast CompanyMetabolic Dysfunction May Explain Sugar-Sweetened Beverage–Gastric Cancer Link, With Andrew Chan, MD, MPH  HCPLivePeople who consume sugar-sweetened beverages on a daily basis have higher risk of stomach cancer  Medical Xpress

Sugar-Sweetened Beverages Linked to Stomach Cancer For The First Time  ScienceAlertMost Americans drink at least one soda a day. It's associated with this type of cancer  USA TodayHow many sodas is too many? New study finds a troubling cancer link  Fast CompanyMetabolic Dysfunction May Explain Sugar-Sweetened Beverage–Gastric Cancer Link, With Andrew Chan, MD, MPH  HCPLivePeople who consume sugar-sweetened beverages on a daily basis have higher risk of stomach cancer  Medical Xpress

Hematopoietic stem cells, the rare self-renewing cells that continually replenish blood and immune populations, do not simply “wear out” with age. They undergo a complex biological transformation that reshapes how they read DNA, respond to stress, interact with their surroundings and decide which blood-cell lineages to produce. A new review by Park, Yanai, Ding and […]

Pairwise has seen a surge in licensing deals for its gene editing platform over the past 12-18 months and now has 25 licensees, says COO Ian Miller, PhD. The post Pairwise sees ‘dramatic uptick’ in CRISPR licensing as gene editing moves beyond row crops appeared first on AgFunderNews.

ONEWE, the K-rock band under entertainment label RBW, did not set out to make a 17-song album. The band's youngest member wanted to make a full-length record, and the idea kept returning. "It was a ball our youngest member set rolling," bassist Giuk said Tuesday at a cafe in eastern Seoul's Gwangjin District, just a day before the release. "It kept rolling until it became a big snowman. We all got more and more ambitious." The result, "面 : Unknown Atlas," closes a work the five-piece band has been building since May. Named for the Chinese characters for point, line and plane, it started with the single "點 : The Quiver" and the digital single "線 : The Wake" through to the full album. Twelve of the 17 tracks are new. The other five, including "Coordinates," "Compass" and "Neverland," carry over from the earlier releases. Every song from the new studio album reworks a fairy tale. "Lilliput" argues against measuring yourself against anyone else. "Laputa" imagines an island that begins

arXiv:2608.17522v1 Announce Type: new Abstract: Persistent shortages in the surgical workforce and inherent limitations of traditional training methods highlight the necessity of automated, data-driven approaches in surgical education. This study addresses these challenges by introducing a novel, explainable AI-powered framework for automated skill assessment, specifically focusing on cataract surgery. We present the world's largest dataset of cataract surgery videos, comprising 2,000 recordings. Additionally, we propose an AI-powered analytical framework that employs advanced computer vision and signal-processing techniques to automatically evaluate surgical videos to derive objective, quantitative performance indicators that complement or potentially replace subjective scoring methods. A significant advantage of our framework over previous methods lies precisely in its explainability of outputs, elevating it beyond merely an opaque skill classification tool. Through experimental

arXiv:2608.17144v1 Announce Type: new Abstract: As online health information-seeking shifts to conversational AI, high-quality information retrieval increasingly relies on users' ``communicative acts''(proactively sharing and seeking information)---similar to how effective diagnosis and personalized guidance are elicited in patient-clinician communication. Drawing on health communication research, this study examines how a chatbot's modality of empathetic expression (Verbal, Visual, Multimodal) and the conversational context (General, Sensitive, Mental Health) influence these acts through a 2 x 2 x 3 within-subjects experiment (N = 48). The results revealed that while verbal and multimodal empathy significantly increased reply length, communicative acts were largely shaped by conversational context, with Sensitive context triggering more question-asking and Mental Health context leading to heightened concerns, assertive responses, and unprompted information disclosure. Combined with

Chungnam National University’s College of Nursing and Chungnam National University Hospital have joined forces to conduct joint research on artificial intelligence (AI)-based health care and foster professionals in the field. The university said the two institutions signed a partnership agreement on Tuesday to expand cooperation in AI-based health care education, research and technology development. The agreement was signed by Park Myong-hwa, dean of the college, and Bok Soo-kyung, president of the hospital. The university noted that the agreement aims to establish a sustainable cooperation framework linking education, research and industry to keep pace with rapid technological advances in AI and digital health care. It added that the partnership will be supported by the government’s Regional Innovation System and Education program, which aims to drive regional growth. The college and the hospital plan to strengthen their research and development capabilities through

An interdisciplinary team of engineers and chemists at Penn State has laid the groundwork to 3D print spheroids - tiny clusters of living cells - capable of regenerating bone tissue in response to severe trauma or infections.

On Tuesday, Pixel Watch 1 owners encountered a Google Health error message about needing to update their wearable. Google has confirmed that this was a bug and that the original device remains supported.

Google is testing a Pixel Connectivity health menu that could diagnose Wi-Fi, mobile data, and call problems, according to an APK teardown. The post Google Pixel May Soon Diagnose Wi-Fi, Call and Data Problems appeared first on TechRepublic.

A new stem cell treatment for ARK (aniridia-related keratopathy) improved patients' vision in a first-in-human clinical trial for this previously untreatable rare genetic eye condition at Moorfields Eye Hospital and University College London (UCL), published in JAMA Ophthalmology.

In this webinar, experts from Rose BioSolutions, a CDMO and Cell Solutions organization formed from Charles River Laboratories’ businesses, will discuss how integrating regulatory strategy at the earliest stages of development can reduce overall risk and improve program outcomes. The post Embedding Regulatory Strategy in Cell and Gene Therapy Development appeared first on GEN - Genetic Engineering and Biotechnology News.

The ancient Mediterranean diet was not one fixed menu but a collection of regional diets dominated by bread and shaped by wealth and availability. For Roman emperor Julian (332–363 CE), bread occupied a central place at the table. He described it as the food that “among us is thought to be the most nourishing.” That [...]

Tadalafil is being marketed for heart health and longevity. The observational data are consistent, but no randomized trial has tested the claim.

Senescent cells accumulate with age, and actively secrete pro-inflammatory signals. The present understanding of senescent cell biochemistry and animal studies of senescent cell clearance strongly suggest that senescent cells in aged tissues provide a major contribution to the characteristic chronic inflammation of old age, disruptive to tissue structure and function. As researchers here note, finding biomarkers to quantify this contribution in a usefully robust and specific way is a work in progress, however. While one might think that the medical field could forge ahead with therapies targeting senescent cells for clearance, based on being able to evidently reverse age-related pathology in animal studies, in practice regulators place a strong emphasis on the availability of simple biomarkers that can measure the direct engagement of a drug […]

Being an elite athlete, at least as a mouse, does not shorten lifespan or limit how many children

arXiv:2608.16134v1 Announce Type: cross Abstract: In clinical motor imagery brain-computer interface (MI-BCI) decoding, cross-day transferability and online operation remain two critical challenges. Hypergraphs can improve transferability by capturing higher-order sample relationships, yet existing hypergraph-based methods for online emotion recognition neglect the cross-day benefits of Riemannian geometry widely adopted in EEG transfer learning. To bridge this gap, we propose the Multi-feature Riemannian Hypergraph (MRieHy), a framework tailored for online test-time adaptation in MI-BCI decoding that leverages Riemannian geometry to strengthen cross-day transferability. MRieHy first computes Riemannian means of covariance matrices from cross-day training data to align multi-day distributions. It then constructs a hypergraph over covariance matrices using Riemannian distance, complemented by a second hypergraph over deep features built with cosine similarity. The two hypergraphs are

arXiv:2608.15344v1 Announce Type: new Abstract: While Harris recurrent Markov chains (in discrete time) automatically exhibit wide-sense regenerative structure, we construct a Harris recurrent Markov process (in continuous time) that is not wide-sense regenerative, thereby giving a negative answer to the open problem first raised in the 1990s and later posed in Glynn(2011). The counterexample exhibits the following rigidity property: every almost surely finite random time that is independent of the state observed at that time must be almost surely constant. A Cantor set linearly independent over the rationals plays a key role in the construction, turning calendar time into an algebraic record of the path already traversed.

arXiv:2608.16273v1 Announce Type: new Abstract: Foresight-England (Foresight-E) is the first national-scale generative foundation model of electronic health records (EHRs), developed as a research pilot strictly for COVID-19 research. We evaluated its ability to model the direct and indirect effects of the pandemic. Trained from scratch entirely within the NHS England Secure Data Environment, Foresight-E is a 243-million-parameter transformer decoder. It was trained and evaluated on de-identified, longitudinal EHRs of approximately 61 million individuals, integrating primary/secondary care, death registrations, and COVID-19 data. Training and validation used a 90% subset (54.9 million) spanning November 2018 to December 2022; the remaining 10% (6.1 million) was held out for evaluation. Foresight-E models patient timelines autoregressively, predicting the next medical event given their prior history. At inference, it operates zero-shot, predicting any concept in its ~40,000-code

arXiv:2608.16267v1 Announce Type: new Abstract: Microfluidic devices are widely used in diagnostics, chemical synthesis, and biological analysis, but their development often depends on complex fabrication and design processes. Resin-based three-dimensional (3D) printing has emerged as a promising alternative to conventional microfabrication because it enables low-cost, rapid prototyping of complex multi-layer structures. However, the practical realization of 3D-printed microfluidic biochips remains challenging due to manual and expertise-intensive design workflows, the rigid nature of commonly used printing materials, and fabrication inaccuracies such as over-curing that distort internal features and may block narrow channels. In this paper, we present a cohesive design automation framework for 3D-printed microfluidics that addresses these challenges across both device design and fabrication. The framework combines interactive design tools, automated synthesis methods for functional

arXiv:2608.16134v1 Announce Type: new Abstract: In clinical motor imagery brain-computer interface (MI-BCI) decoding, cross-day transferability and online operation remain two critical challenges. Hypergraphs can improve transferability by capturing higher-order sample relationships, yet existing hypergraph-based methods for online emotion recognition neglect the cross-day benefits of Riemannian geometry widely adopted in EEG transfer learning. To bridge this gap, we propose the Multi-feature Riemannian Hypergraph (MRieHy), a framework tailored for online test-time adaptation in MI-BCI decoding that leverages Riemannian geometry to strengthen cross-day transferability. MRieHy first computes Riemannian means of covariance matrices from cross-day training data to align multi-day distributions. It then constructs a hypergraph over covariance matrices using Riemannian distance, complemented by a second hypergraph over deep features built with cosine similarity. The two hypergraphs are

arXiv:2608.16094v1 Announce Type: new Abstract: Accurate protein structure prediction is fundamental to structural biology because protein structure underlies molecular function and provides a basis for mechanistic interpretation. Recent advances in deep learning have transformed the field from multiple sequence alignment (MSA)-driven monomer folding into broader frameworks capable of modeling protein complexes and increasingly heterogeneous molecular systems. Existing reviews have summarized this progress from the perspectives of representative models, application domains, and protein design. Building on these efforts, this review focuses on the methodological evolution of the field itself. It examines recent developments through three closely related dimensions: representations and data, architectures and learning strategies, and confidence and evaluation. Within this perspective, the field is organized into four methodological phases and three cross-cutting transitions: from

arXiv:2608.15690v1 Announce Type: new Abstract: Text-to-audio-video (T2AV) generation models produce a video and its soundtrack from a textual description, but offer no control over whose voice speaks in the output. We show that a base T2AV model can be turned into a voice-cloning model by adding a single zero-initialized linear layer on top of its audio backbone, fine-tuning for a comparatively short training schedule, and conditioning on a short reference recording at inference time. The reference is injected through two complementary signals: its diffusion latents are prepended to the audio stream, and a global speaker embedding modulates token of the target audio. On a benchmark of 674 speaker-text pairs spanning 30 speakers we compare against five strong voice-cloning text-to-speech baselines: our enhanced 5B model attains the highest speaker-encoder cosine similarity (SECS) across three independent verification networks (ECAPA-TDNN, WavLM-SV, Resemblyzer), statistically

arXiv:2608.14865v1 Announce Type: new Abstract: An actuator health estimation algorithm for a soft swimming robot that can perform anguilliform swimming is developed. Due to harsh operational environments of underwater robots, and the common degradation of soft robot materials and actuators, accurate estimation of actuator functionality is necessary for robots to perform their missions as well as return to base in the event of actuator degradation and failure. Termed REACH (Real-time Estimator of Actuator Control and Health), the architecture employs a soft robot model, sigma point filter, and a formal statistical hypothesis test to adequately capture the nonlinearities and changes over time. The performance of REACH using three sensor types (GPS, IMU, and Bend Sensor) with one sensor on each actuator is compared, demonstrating that both bend sensor and IMU are adequate choices. Sensor quantity and placement are evaluated for IMU and bend sensor, showing two sensors are sufficient for

arXiv:2608.14625v1 Announce Type: new Abstract: Academic peer review is under mounting strain: NeurIPS 2025 received 21,575 submissions, ICLR 2025 received 11,603, and ICML 2025 received 12,107. This volume has outpaced the supply of qualified reviewers, and large language models (LLMs) are already filling the gap, largely undisclosed. An independent analysis of ICLR 2026 found roughly 21% of its 75,800 peer reviews were fully AI-generated, with over half showing some AI involvement (up from 15.8% in 2024). Documented risks include hallucinated citations in accepted papers and hidden prompt-injection instructions embedded in manuscripts to manipulate AI reviewers into favorable assessments. We propose a triple-blind, multi-LLM pre-screening framework for peer review, developed for a health sciences journal, that formalizes and discloses AI involvement while preserving human reviewers as the final decision-making authority. The framework routes a submission through five stages --

arXiv:2608.14598v1 Announce Type: new Abstract: Medical AI has rapidly improved its ability to perform diagnostic and prognostic tasks that lead to treatment decisions. But understanding of treatment itself is still inadequately trained and evaluated, using human opinions and syntheses (especially texts such as biomedical publications and clinical practice guidelines) rather than actual underlying data on treatment outcomes. This neglect seriously limits the potential of medical AI, and is already causing deficiencies in both frontier models and major benchmarks, as argued in this position paper. Real treatment outcomes, drawn from sources such as observational databases and randomized experiments, should be substantially incorporated into both training and evaluation. Improving these outcomes should be reemphasized as the downstream goal of all medical AI.

The deoxyribonucleic acid (DNA) of living organisms contains regulatory elements that control when, where and to what extent specific genes are turned on or off. They can be co-opted to create "gene switches" that hold significant potential for understanding gene expression and for therapeutic applications, particularly for the noninvasive treatment or management of genetic disorders.

Artificial intelligence is moving from the research laboratory into examination rooms, hospitals and home-care platforms, raising a question that could redefine modern medicine: should patients primarily be treated by physicians, by intelligent machines, or by a combination of both? A new Perspective in JAMA, authored by Ezekiel J. Emanuel, MD, PhD, examines the advantages and […]

Over time, the Vara has been at the center not only of the vivid chronicles of many Italian and foreign travellers, but also of great ... Read more L’article Vara 2026: how many illustrious photojournalists to immortalise the procession est apparu en premier sur Odnako.

Most clinical AI tools being built today are meant to be used with a doctor’s oversight. But by 2030, it’s likely that AI, on its own, will perform better than doctors at some basic tasks ...

Red blood cells serve as the foundation for nanocarriers that show promise in a new study as effective and efficient vehicles for gene therapy, tumor targeting and other medical treatments.

A dormant viral legacy embedded in the human genome may be helping to push the brain’s immune cells toward chronic inflammation and cellular aging, according to a study by Yan, Georgopoulou, Lee and colleagues published in Nature Neuroscience. The research describes how the derepression of endogenous retroviruses—ancient viral sequences that became permanently integrated into mammalian […]

Unlike adult hearts, the hearts of newborn mammals can temporarily regenerate after damage. However, this remarkable ability is rapidly lost within the first days of life. In a new study, scientists investigated how neonatal hearts respond to both heart injury and pressure overload, a condition that mimics chronic stress on the heart.

NHS Blood and Transplant's medical director says waiting lists for organ operations are unfair but leaders are not solving the issue.

Investors unpack what it takes to succeed in an increasingly crowded AI biology ecosystem. The post Pharma Races to Scale AI as Billions Flow into Drug Discovery appeared first on GEN - Genetic Engineering and Biotechnology News.

Tooth autotransplantation is a recognized treatment option for replacing missing teeth, particularly in young patients, as it preserves natural tooth function, supports continued jaw development, and eliminates the need for dental implants.

Primary human myeloid cells are emerging as important components of next-generation immunotherapies, but they have traditionally been difficult to engineer at the scale and precision needed for modern functional genomics. Monocytes, macrophages and dendritic cells are highly responsive to foreign nucleic acids and particles, and many standard gene-delivery methods can trigger toxicity, inflammation or loss […]

By baking fundamental physical laws into neural networks, researchers have created a model that predicts drug-release timelines using

Cells become senescent constantly throughout life, in response to damage, stress, or reaching the Hayflick limit on replication. A senescent cell ceases to replicate, grows in size, and begins to secrete a potent mix of pro-inflammatory signals. In youth, the immune system efficiently clears senescent cells. Clearance falters in later life, however, and this failure of the immune system to keep up with the pace at which senescent cells are created enables the steady accumulation of senescent cells over time. The inflammatory signaling becomes increasingly disruptive to tissue structure and function, an important contribution to degenerative aging. A number of research groups and companies are focused on ways to restore the ability of the aged immune system to clear senescent cells, and time will tell […]

First generation stem cell therapies that use a variety of cell sources and protocols are widely used in the medical tourism industry. A more limited set of such therapies are used in more regulated medical systems. The aspirational goal in the field of stem cell medicine is to induce regeneration of aged and damaged tissues to improve function, but this outcome remains unreliable. Stem cell therapies can fairly reliably produce a reduction in chronic inflammation for a period of months, however. Even so, results vary widely from patient to patient and clinic to clinic; standardization remains a challenge, perhaps in large part due to the sensitivity of cells to small differences in how they are cultured. The degree to which stem cells in culture become […]

arXiv:2608.13937v1 Announce Type: new Abstract: Smart manufacturing processes are often installed with a large number of sensors, imaging devices and computers, which not only enable instant communication across various modules of a production system but also aid in intelligent manufacturing management. In this paper, we introduce MODERN, a deep learning framework for quality monitoring and fault isolation, which integrates these enhanced capabilities into the practice of industrial quality control. Using the architecture of an inception residual neural network, we develop a control chart that monitors the likelihood of a product containing defects. We also propose a faulty region estimator that identifies the defective area using transfer learning. To extend our framework to cases where there are not sufficient training data, we suggest a transfer monitoring technique that requires only a small sample size and a hypothesis testing approach for quantitatively assessing the

arXiv:2608.13576v1 Announce Type: cross Abstract: Brain-computer interface (BCI) research relies on multistage computational pipelines, yet progress remains constrained by fragmented data formats, heterogeneous decoder implementations and hardware-specific deployment toolchains, and researchers lack an integrated workflow. Here, we fill this gap with BCIJelly, a unified computational ecosystem that integrates 18 curated BCI datasets, 15 benchmark decoders and an algorithmic library of 80 reusable modules, an automated architecture search (AAS) procedure, and hardware-aware deployment through the toChip pipeline within a single Python framework. AAS constructs task-specific decoders without manual architecture design. It is further extended into a closed-loop mode guided by a large language model (LLM), which uses task specifications, module descriptions and search history to support multitask and cross-species decoding. The toChip pipeline compiles trained decoders for execution on

arXiv:2608.13937v1 Announce Type: cross Abstract: Smart manufacturing processes are often installed with a large number of sensors, imaging devices and computers, which not only enable instant communication across various modules of a production system but also aid in intelligent manufacturing management. In this paper, we introduce MODERN, a deep learning framework for quality monitoring and fault isolation, which integrates these enhanced capabilities into the practice of industrial quality control. Using the architecture of an inception residual neural network, we develop a control chart that monitors the likelihood of a product containing defects. We also propose a faulty region estimator that identifies the defective area using transfer learning. To extend our framework to cases where there are not sufficient training data, we suggest a transfer monitoring technique that requires only a small sample size and a hypothesis testing approach for quantitatively assessing the

arXiv:2608.14399v1 Announce Type: new Abstract: Patients increasingly ask large language model (LLM) assistants which doctor to see, making these systems AI infomediaries: algorithms that intermediate one person's choice among other people and thereby decide, silently and at scale, which physicians become visible. We report a prespecified randomized algorithm audit of what causally moves those recommendations. Seven models (six open-weight; gpt-4o-mini) each chose among five synthetic family-medicine physician cards whose attributes were independently randomized across 3,024 choice sets, three patient personas, nine prompt paraphrases and nine experimental arms, yielding 40,068 scored responses; gender and ethnicity were signaled through names following correspondence-audit methodology. Reputation signals dominate: raising a rating from 3.9 to 4.7 increases choice probability by 31.4 percentage points (pp), and raising the fee from $90 to $190 lowers it by 20.0 pp. Demographic parity

arXiv:2608.13901v1 Announce Type: new Abstract: EV-WM represents candidate quality with feature and event scores, but these scores do not explicitly record an unmet task predicate, a route label for an available correction mechanism, or a post-correction acceptance result. We present Onto-EV-WM, an ontology-grounded diagnosis and verification-gated correction interface layered above EV-WM rather than a replacement world-model architecture. The implemented task-local TBox defines entity types, predicate signatures, and constraints; source-specific grounding maps predicted or simulator-observed states to task ABoxes; and deterministic rules retain each missing predicate and its arguments when assigning a route label. Learned or heuristic proposers remain separate from this symbolic interface; native task predicates determine acceptance, and the bounded protocol determines whether a failed verification is retried. In the aligned PointMaze evaluation, EV-WM and Onto-EV-WM both report 94%

arXiv:2608.13786v1 Announce Type: new Abstract: Large language model (LLM) chatbots are increasingly used to answer clinical questions with citations to relevant clinical studies. Prior research has largely focused on citation fabrication, leaving a gap in evaluating the quality of retrieved studies and the factors driving their selection. In this study, we evaluated three general-purpose LLM chatbots: Claude Sonnet 5, Gemini 3.1 Pro, and ChatGPT GPT-5.5. We prompted the models with clinical questions adapted from 20 review questions in Issues 6 and 7 of the 2026 Cochrane Database of Systematic Reviews, simulating patient, clinician, and evidence-synthesis researcher roles. Each chatbot was queried under each user role with four independent repetitions, yielding 720 responses. Each chatbot was asked to support its answers with primary clinical citations, which we benchmarked against the included and excluded study sets of the Cochrane reviews. On average, a chatbot response retrieved

arXiv:2608.13576v1 Announce Type: new Abstract: Brain-computer interface (BCI) research relies on multistage computational pipelines, yet progress remains constrained by fragmented data formats, heterogeneous decoder implementations and hardware-specific deployment toolchains, and researchers lack an integrated workflow. Here, we fill this gap with BCIJelly, a unified computational ecosystem that integrates 18 curated BCI datasets, 15 benchmark decoders and an algorithmic library of 80 reusable modules, an automated architecture search (AAS) procedure, and hardware-aware deployment through the toChip pipeline within a single Python framework. AAS constructs task-specific decoders without manual architecture design. It is further extended into a closed-loop mode guided by a large language model (LLM), which uses task specifications, module descriptions and search history to support multitask and cross-species decoding. The toChip pipeline compiles trained decoders for execution on

The 'Ahsoka' Season 2 trailer reveals Hayden Christensen's return as Anakin Skywalker, Clone Wars flashbacks, and Grand Admiral Thrawn's war against the New Republic, expanding the Star Wars universe.

Humans love dogs, but petting them can leave some people sneezing and wheezing. About 15% of the world's population lives with a dog allergy, which can increase the risk of hay fever and asthma. The main culprit is Can f 1, a protein found mainly in dog saliva. Right now, staying away from furry friends or getting regular immunotherapy shots or tablets is the only way to deal with the symptoms.

Alex Janin / Wall Street Journal: Patients, families, doctors, and nurses are increasingly turning to AI tools, such as Face2Gene, to help identify rare and hard-to-diagnose diseases  —  Patients, doctors and nurses are turning to the technology for help identifying rare and undiagnosed diseases

The drone that destroyed a Tupolev Tu-95MS strategic bomber at Russia's Engels-2 air base last month turns out to be the MICH 2000.

The post Mediterranean Diet for Heart Health: Secrets to Longevity appeared first on wiki Health News.

The post Indian Diets: A Treasure of Health and Longevity appeared first on wiki Health News.

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‘I drink black coffee daily’: Oncologist shares 6 research-backed benefits, from brain health to longevity | Health  Hindustan TimesThe coffee advice given to atrial fibrillation patients may deserve a rethink  News-MedicalHow healthy is coffee, really?  Scientific AmericanAmerican Heart Association to coffee fans: Go ahead and have 5 cups a day (as long as you also do this)  Fast CompanyHow much coffee is good for you? Here’s what new research says.  AJC.com

‘I drink black coffee daily’: Oncologist shares 6 research-backed benefits, from brain health to longevity | Health  Hindustan TimesThe coffee advice given to atrial fibrillation patients may deserve a rethink  News-MedicalHow healthy is coffee, really?  Scientific AmericanAmerican Heart Association to coffee fans: Go ahead and have 5 cups a day (as long as you also do this)  Fast CompanyHow much coffee is good for you? Here’s what new research says.  AJC.com

The U.S. Food and Drug Administration has cleared Eve (Wandercraft), the first self-balancing personal exoskeleton for eligible adult wheelchair users living with spinal cord injury.

Great physicians are curious about the patient in front of them, and that curiosity is what drives them to dig deeper, writes Dr. Natasha Chida.

A novel AI model can use information collected during routine sleep studies to identify patients’ long-term health risks,

For half a century, scientists have known that some wheat varieties can withstand the Hessian fly, a tiny mosquito-like insect whose larvae can devastate cereal crops. What remained elusive was the molecular explanation: researchers could identify resistance traits in wheat, but they could not isolate the responsible gene and show precisely how it recognized an […]