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More than 30 years after the direct connection was established between the molecular machinery controlling cell division and cancer, a new paper traces the evolution of cyclin-dependent kinase research and outlines the next generation of CDK-targeted therapies.

A systematic review of 91 studies shows AI-based medication recognition advancing rapidly through detection, OCR, and few-shot learning, while external validation and clinical testing lag behind.

A new analysis of more than 81,000 liver transplants found that female recipients aged 25 and older show higher excess mortality than male recipients in the first three months after transplant, regardless of donor sex. Researchers believe the poorer condition of female patients at the time of transplant may explain the early disadvantage, which reverses after the first year.

A first-of-its-kind mixed-methods study reveals how perioperative adverse events inflict lasting psychological and professional tolls on kidney transplant surgeons, shaping risk attitudes, decision-making and the availability of life-saving transplants.

INmune Bio and Quantum Computing Inc. partner to explore how AI and quantum computing can advance Alzheimer's drug research. The post INmune Bio Inc. and Quantum Computing Inc. Partner to Apply Quantum Optimization and AI to Advance Alzheimer’s Drug Research and Explore New Applications for XPro appeared first on TechRepublic.

THURSDAY, Oct. 15, 2026 — Kidneys donated by smokers are less likely to survive transplant, a new study says.Donated kidneys are 13% more likely to fail if they come from a person with any history of smoking, and the odds are even worse for organs...

I flew to San Francisco yesterday to take part in Rock Health’s annual summit. It’s been about half a year since I last visited, so the event served as a good gut check of where ...

Transplant patients in Poland who ate ice cream during high-dose chemo got painful mouth sores about half as often. The cold may be what matters.

A prospective South Korean cohort study found that plasma microbial cell-free DNA metagenomic sequencing substantially agreed with conventional microbiology when clinically relevant specimens were considered and detected additional bacterial and viral pathogens missed by routine testing in liver transplant recipients.

The growing use of AI tools is changing the skills doctors need to practice medicine, experts said during a panel at an Endpoints News event on Wednesday. Doctors no longer need to memorize as many ...

INmune Bio Inc. (Nasdaq: INMB) and Quantum Computing Inc. today announced a collaboration to apply quantum computing, artificial intelligence (AI) and data analytics to identify new potential applications for XPro (XPro1595), INmune Bio's investigational treatment for Alzheimer's disease and other disease conditions.

Researchers here assess the present animal study evidence for first generation stem cell therapies to produce benefits in the most common neurodegenerative conditions, and also the consequences of stroke. The results are promising. While these therapies have been fairly widely deployed in patients via medical tourism, that data will never be available for analysis in any useful way. A few formal clinical trials have taken place, with unfortunately mixed results, which suggests that the details of manufacturing process, source of cells, and other logistical factors are important to outcomes. In general, these stem cell therapies appear to reliably modulate chronic inflammation, but all other desired outcomes are quite unreliable where they have been assessed rigorously in human patients. This is one of the reasons why […]

arXiv:2610.20504v1 Announce Type: new Abstract: Long-horizon precise manipulation produces mixed-quality data for post-training vision-language-action (VLA) models: even successful demonstrations and intervention-assisted rollouts may contain detours, hesitations, failed attempts, and imperfect recoveries. The key challenge is to identify which action chunks actually advance the task, rather than uniformly cloning or discarding imperfect trajectories. We propose Graph-Reweighted Behavior Cloning (GR-BC), an offline iterative post-training framework that builds a task-conditioned goal-reachability graph over demonstrations and iteratively collected rollouts, including both successful and failed episodes with human interventions. Reverse graph search computes minimal remaining steps to task success within the dataset support, and each action chunk is weighted by how much its execution reduces this potential. This consequence-based weighting reuses recoverable segments from failed

arXiv:2610.20203v1 Announce Type: new Abstract: This paper investigates the use of Behavior Cloning (BC) for autonomous driving from a bird's-eye view (BEV) perspective in simulated urban environments. BC uses supervised learning to mimic expert driving behaviors. Previous works have applied BC in the CARLA simulator but did not fully address the challenges of traffic light compliance. Our approach enhances BC by integrating a kernel density estimator to adjust training sample weights based on action density, thereby improving the learning of rare but critical actions such as stopping at red lights and accelerating at green lights, specially in scenarios of scarce number of expert demonstrations. Using BEV inputs, which provide an abstract top-down view of the driving environment, our method simplifies the policy learning process. The trained convolutional neural network (CNN) outputs steering and acceleration actions based on these BEV inputs and additional state variables.

arXiv:2610.19774v1 Announce Type: new Abstract: Zero-shot text-to-speech (TTS) typically conditions on a short speech prompt, which conveys timbre but provides only limited evidence of a speaker's prosodic patterns. We formulate Long-Prompt Zero-Shot TTS, a task that uses long speech prompts at inference time to reproduce speaker-specific prosody without target-speaker fine-tuning. We introduce LP-TTS-Bench, a bilingual benchmark of 37 speakers with 63.95 prompt hours and 2,728 held-out test utterances. Beyond intelligibility and timbre similarity, LP-TTS-Bench evaluates timing, prominence, intonation, and model-based prosody metrics, enabling multidimensional evaluation of prosody reproduction. As a reference system, we develop LPTTS, whose hierarchical Long-Prompt Encoder compresses long speech prompts into a fixed number of continuous prosody vectors. Experiments show improvements in several prosodic dimensions over a short-prompt baseline, with overall gains as prompt duration

arXiv:2610.19600v1 Announce Type: new Abstract: Recent vision-language-action (VLA) models have shown strong performance on local robot manipulation, yet their success does not readily translate to long-horizon mobile manipulation. In our experiments, a pretrained subtask VLA achieves 80% success rate on atomic manipulation tasks but only 19% when these skills are composed into mobile manipulation. We argue that this gap stems from failures across the execution process rather than from local manipulation capability alone. To uncover these bottlenecks, we systematically diagnose failures in long-horizon mobile manipulation and identify three dominant regimes: task planning, navigation and base positioning, and local manipulation. Based on this diagnosis, we develop failure-guided agentic intervention that augments a fixed subtask VLA with demonstration-based planning guidance, adaptive visual memory, accessibility-aware base adjustment, and local end-effector adjustment. On

arXiv:2610.19445v1 Announce Type: new Abstract: Neural instrument synthesizers can clone the timbre of a solo instrument, letting music producers make music with the sound they desire. However, an instrument of interest is often embedded in a fully produced, multi-instrument recording, beyond the reach of existing methods. Source separation before timbre cloning is an approach, but it may suffer from separation artifacts and is also likely a detour for the task. In this work, we propose Point-and-Play, a system that clones the timbre of a cued source directly from a polyphonic mixture and uses it to synthesize new pitches and velocities. To achieve this, we introduce a Cue-Gated Statistics Pooling (CGSP) module that extracts the timbre code of the cued instrument from adapted CLAP embeddings of the music mixture. This extracted timbre code is then used to condition a separately trained note synthesizer together with pitch and velocity inputs. Experiments show that our proposed system

A new framework combines a platform-free federated learning blockchain consensus mechanism with optimized neural networks to secure electronic health record storage, sharing, and disease diagnosis.

Researchers used a temperature-tolerant LbCas12a genome editing system to restore the reading frame of a loss-of-function SlGLK2 allele in tomato, recovering the green shoulder phenotype and increasing soluble solids and tocopherol content in ripe fruit.

A retrospective Chinese cohort study shows that clinically relevant contamination of organ preservation fluid, especially when matched to donor respiratory organisms, sharply raises the risk of early donor-derived infections after liver and kidney transplantation.

A cross-sectional study of 160 Turkish children found that higher adherence to the Mediterranean diet was independently associated with fewer cavities and healthier gums, while higher BMI was linked to poorer periodontal health.

A nationwide Taiwanese cohort study finds that older cancer survivors who return to work show significantly better long-term survival than those who do not, across all cancer stages.

Stem Cell Reports has been named the Official Meeting Journal of the ASSCR 2026 Annual Scientific Meeting, taking place 9-11 November 2026 in Melbourne, Australia.

Issues affecting ageing populations worldwide will form the core of discussions for policymakers and health industry leaders gathered at the Abu Dhabi Future Health Summit, with a particular emphasis on how practising prediction and prevention can help ensure life is lived to its fullest. The United Arab Emirates (UAE) has positioned itself as a global leader in transformative healthcare policy, and Dr Asma Al Mannaei, executive director of the health life science sector at the Department of...

A JAMA study suggests a lab-based urgency score could rank heart transplant candidates by how sick they are, better than today's rules. What it could mean.

A leakage-controlled multimodal AI model combining PET/CT radiomics, deep-learning features, metabolic parameters and blood-based indices achieved moderate preoperative prediction of axillary lymph-node metastasis in breast cancer, with no statistically proven added value of imaging over clinical variables.

A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from more aggressive carcinomas before surgery.

A new PLOS Digital Health study maps international and EU ethical and regulatory requirements for AI-based medical imaging diagnostics into five categories and warns that security gaps and variable compliance could undermine patient autonomy, safety, and justice.

A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than handcrafted radiomics, which collapsed under external validation.

In a Columbia University School of Nursing study surveying 1,185 U.S.-based adults about AI use in secure medical portals, 63% of patients said they would not endorse AI-generated medical responses without a clinician's review. This suggests that while patients see value in using AI for certain health care tasks, they prefer a human review when medical advice is involved. The study, "Public Perceptions of Timeliness for AI Use and Human Oversight," was published in the JAMA Network Open on Oct. 14, 2026.

Researchers at the University of Cincinnati College of Medicine have published the first proof-of-concept study showing the potential of an experimental gene therapy for hydrocephalus.

A new multimodal AI framework called MEGH-DDI combines chemical language models with graph neural networks to predict drug–drug interactions with over 98 percent accuracy.

Researchers at the University of Cincinnati College of Medicine have published the first proof-of-concept study showing the potential of an experimental gene therapy for hydrocephalus. The preclinical research from the lab of Agnes (Yu) Luo was recently published in the journal Fluids and Barriers of the CNS, which focuses on specialized cerebrospinal fluid (CSF) biology.

Researchers report that suppressing the lipid-metabolizing enzyme PLA2G7 in hippocampal neural stem cells restores inhibitory synapses and improves memory in aged mice.

A University of Cincinnati and UC Davis team showed that an AAV gene therapy targeting cerebrospinal fluid-producing cells reduced hydrocephalus-related brain swelling in animal models, pointing toward a minimally invasive alternative to shunt surgery.

For a long time, differences between females and males were mainly associated with the reproductive organs. Yet organs that have nothing to do with reproduction, such as the skin, can also be shaped by sex.

Every organ and tissue progressively loses function and integrity as it ages. In fact, researchers have identified "hallmarks of aging" that not only present specific processes impacted by age, but are also thought of as levers that, if successfully targeted, could help turn back the aging clock and result in tissue rejuvenation.

The on-demand availability of artificial intelligence chatbots means that most individuals have quick, easy access to a wealth of information. The ease and accessibility of these tools may make it tempting to turn to AI for advice about mental health. But it's important to note that these systems are prone to reinforcing a user's existing beliefs or, in some cases, providing inaccurate information.

His comments come after Merck officially opened its new 120,000-square-foot research facility in the Greater Philadelphia area.

The pancreas is a complex organ comprising multiple cell types that regulate blood glucose levels through hormones, such as insulin, and support digestion by producing digestive enzymes. Researchers at the University of Tsukuba previously developed an intraplacental transplantation method whereby pancreatic progenitor cells are injected into the placenta of a pregnant mouse and delivered to the developing fetus. However, whether transplanted cells could become incorporated into pancreatic tissue had not been demonstrated.

NASHVILLE, Tenn. — AI tools were less likely to flag emergencies and deliver accurate, comprehensive gastroenterology advice in the six most common U.S. languages after English, according to a presenter at ACG Annual Scientific Meeting.“AI is already part of everyday life, and people are turning to it with health questions, often before speaking with a physician,” Harika Dadigiri, MD, resident physician at New York Medical College at Saint Mary’s and Saint Clare’s Hospital in New Jersey, told Healio regarding her presentation. “For patients who struggle to find reliable medical information in

A new review in Cellular and Molecular Life Sciences proposes hybrid biological-digital tumor twins, coupling patient-derived organoids with computational models in closed feedback loops, as a blueprint for adaptive precision oncology in breast cancer.

OpenEvidence and Johns Hopkins Medicine partner to develop AI tools for physician training and clinical care, with a focus on medical reasoning and patient safety. The post OpenEvidence, Johns Hopkins Partner to Bring AI Into Medical Training and Patient Care appeared first on TechRepublic.

The American Society of Hematology (ASH) has released guidelines on the management of myelofibrosis, a rare and life-threatening blood cancer. The new guidelines recommend expanded molecular testing, early transplant referral, appropriate use of JAK inhibitors and aspirin therapy in select patients.

Researchers combined structure-guided protein design with cis-regulatory editing at the native HPPD locus to create elite herbicide-tolerance alleles in rice and wheat.

Researchers in Wuhan developed a two-stage deep learning system that detects and classifies postoperative coughs from audio recordings of lung surgery patients with over 99 percent accuracy on clean data, while flagging noise robustness as the key hurdle before clinical deployment.

A new Journal of Medical Systems commentary proposes a task-level oversight-margin framework to quantify when human supervision of cardiovascular artificial intelligence falls behind the pace of algorithmic output.

With artificial intelligence making deep inroads into health care, two doctors are urging physicians to embrace the technology but to remember that only humans can serve the best interests of individual patients.

Boca Raton, Florida, October 14th, 2026, Financewire Collaboration combines INmune Bio’s clinical research with QCi’s Dirac-3S quantum optimization machine to identify potential new treatment indications and biomarkers for XPro. Initial engagement marks QCi’s first commercial customer in pharmaceutical and biotechnology markets, expanding the application of quantum computing to drug development. INmune Bio Inc. (Nasdaq: INMB) […] This story continues at The Next Web

Genome editing is moving beyond experimental promise, as a customized therapy for a rare genetic disorder highlights both its clinical potential and the barriers to broader access.

Pope diagnosed with lung cancer but had successful surgery, Vatican says  BBCWhat to Know About Pope Leo’s Cancer Diagnosis  The New York TimesPope Leo spends a peaceful night in the hospital after cancer surgery  NBC NewsWhat to know about pulmonary adenocarcinoma  The Washington PostFirst Thing: Pope Leo recovering from surgery after lung cancer diagnosis  The Guardian

Pope diagnosed with lung cancer but had successful surgery, Vatican says  BBCWhat to Know About Pope Leo’s Cancer Diagnosis  The New York TimesPope Leo spends a peaceful night in the hospital after cancer surgery  NBC NewsWhat to know about pulmonary adenocarcinoma  The Washington PostFirst Thing: Pope Leo recovering from surgery after lung cancer diagnosis  The Guardian

A new Journal of Medical Systems Comment argues that how clinical AI systems select cases for human review must itself be rigorously evaluated to keep oversight meaningful.

A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast cancer recurrence-free survival and successfully stratified patients into distinct risk groups.

The data behind Blue Zones might not be that strong

The large language model took less than a day to identify the curious stretch of DNA

A new meta-analysis of seven randomized controlled trials finds that vitamin D supplementation does not significantly alter circulating levels of the exercise-linked hormone irisin or the longevity-associated protein SIRT1, despite suggestive signals in small subgroups.

Since stem cell therapies produce beneficial effects via a short burst of signaling from the transplanted cells rather than via any long-lasting survival and engraftment of those cells, researchers are attempting to build therapies that deliver the signals instead of the cells. Manufacture involves culturing stem cells and harvesting the culture medium in order to obtain the molecules or extracellular vesicles secreted by the stem cells, and then introducing that material into patients. The signaling produced by different stem cell populations will likely prove to be more versus less useful in different contexts, and so some experimentation is needed. Here, researchers show that the secreted signals generated by dental pulp stem cells help to improve the outcome following stroke in mice. Ischemic stroke induces oxidative […]

Living longer and healthier is important. But don’t believe everything you hear.

A Virginia Tech-led study finds that a voluntary priority program matching older donor kidneys with patients over 65 could add more than 900 kidney transplants and prevent over 190 deaths in the United States each year.

Pope Leo diagnosed with lung cancer, undergoes successful surgery  AxiosPope Leo Diagnosed With Lung Cancer After Surgery  WSJPope Leo spent peaceful night in hospital after surgery, Vatican says  ReutersWhat to know about pulmonary adenocarcinoma  The Washington PostWho’s in charge when the pope is unconscious and unable to govern? The pope  AP News

Pope Leo diagnosed with lung cancer, undergoes successful surgery  AxiosPope Leo has calm night in hospital after successful lung surgery  Vatican NewsWhat to know about pulmonary adenocarcinoma  The Washington PostWho’s in charge when the pope is unconscious and unable to govern? The pope  AP NewsPope Leo spent peaceful night in hospital after surgery, Vatican says  Reuters

A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine learning prediction of perioperative complications in myasthenia gravis patients, though the absolute accuracy remained modest.

Experts discuss the draw of longevity clinics, potential risks, and how physicians can respond without abandoning evidence-based care.

An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy while showing clinicians exactly where its attention focused.

arXiv:2610.16093v1 Announce Type: new Abstract: Predicting single-cell perturbation responses requires mapping between two unpaired populations of cells measured before and after the perturbation. Optimal transport (OT) provides a principled framework for constructing such mappings by minimizing the transport cost, and neural OT methods (\textit{e.g.}, CellOT) have been employed for this prediction task. However, these methods rely on a fixed transport cost, typically the squared Euclidean distance. This cost may connect cells with the wrong responses. Lineage tracing provides the information needed to learn the cost, as heritable barcodes link the cells of the same clone before and after the perturbation. Here, we propose \CloneOT, a neural inverse OT method that learns both the transport cost and the transport map from partially lineage-traced single-cell datasets. \CloneOT\ represents the cost as a neural network. It learns the cost by minimizing the extra cost that the lineage

arXiv:2610.13993v1 Announce Type: new Abstract: Therapeutic sutures can localize bioactive payloads to wounds, but burst release and insufficient coating durability can compromise regeneration and increase infection risk. In this work, we introduce a data-driven discovery strategy for bioresorbable polymer suture coatings that improve therapeutic retention and release kinetics. We develop GenPoly, an end-to-end multimodal generative framework that learns a shared polymer representation over paired polymer string sequences and molecular graphs via contrastive alignment, and couples this representation to property prediction, synthetic accessibility filtering, and motif-based candidate clustering to discover coating families beyond commonly used linear aliphatic polyesters. Starting from a clinically prevalent baseline, GenPoly identifies candidate coatings and selects representative polymers for experimental evaluation on nanoparticle-loaded sutures with recombinant human EGF to an in

arXiv:2610.15329v1 Announce Type: new Abstract: In this paper, {we propose a new family of $(n, k)$ Minimum Storage Regenerating (MSR) codes} for distributed storage systems. By structuring the parity-check matrix as a block Vandermonde matrix composed of diagonal matrices and generalized permutation matrices, the proposed code achieves a sub-packetization level of $N = (d-k+1)^{\lceil\frac{n}{2}\rceil}$ and supports any repair degree $k+1\le d

Researchers combined manganese-doped ZnO/silica nanocomposites with machine learning and digital colorimetry to achieve rapid, nondestructive quality control and 96% visible-light degradation of the antiviral drug lopinavir in water.

Biotechnology company QUiCKR Bio is using liquid handling solutions from INTEGRA Biosciences to run its CRISPR edit confirmation assays.

Scientists have long used a powerful gene-editing tool called CRISPR to make precise changes to DNA. But a different version of the technology, known as Cas13a, targets RNA, the genetic material found in viruses such as HIV.

Researchers have created an injectable self-healing hydrogel of gelatin and hyaluronic acid that slowly releases b-FGF and dramatically improves the survival of transplanted fat tissue in rats.

Researchers have developed a Matrigel-free, aloe vera-containing bioink for 3D-printing bone organoids that recruit and polarize macrophages toward a pro-regenerative state, accelerating repair of critical-sized skull defects in rats.

A comparative proteomics pipeline and the first CRISPR-Cas9 gene editing in Fasciola hepatica juveniles have identified three surface-exposed proteins as promising early-stage vaccine candidates against liver fluke disease.

A new safety audit shows that machine unlearning in medical AI can silently degrade performance on rare diagnoses, and proposes a framework to detect and mitigate this spillover.

Surgeons have shown that robotic technology can help repair a rare and difficult type of hernia that develops along the side of the abdomen. These hernias are hard to treat because they form near the ribs, pelvis, muscles, nerves and blood vessels.

VIB researchers have developed a new human stem-cell-based model that recreates an early stage of immune-cell development and shows how a single progenitor population can give rise to specialized macrophages across different organs. The model provides a platform to study how these processes change in disease, and how they might eventually be harnessed therapeutically.

Google is investing in Flo Health to connect menstrual cycle tracking with wearable data, expand women's health research, and develop personalized AI tools. The post Google Invests in Flo Health to Bring Period Tracking to Wearables appeared first on TechRepublic.

Researchers identified eleven WOX genes in the medicinal tree Eucommia ulmoides and showed that overexpressing EuWOX11 in poplar dramatically increases adventitious root formation, root length, biomass and vegetative growth.

Some people are born with a defect in their genetic material that prevents their immune system from functioning properly. In people with a condition known as GATA2 deficiency, the body does not produce enough immune cells, leaving them at increased risk of infections and disease. Now, researchers at Aarhus University have demonstrated that they can repair the genetic defect directly in patients' own blood stem cells.

Researchers have developed a three-stage protocol that reliably converts adipose-derived mesenchymal stem cells into functional lymphatic endothelial precursor cells, which engraft into host lymphatic vessels in a mouse wound-healing model.

A deep learning model trained exclusively on adult duodenal biopsy images has achieved pathologist-level accuracy in diagnosing coeliac disease in children across independent hospitals and scanner platforms, with no misclassifications among high-confidence predictions.

Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed Polygonatum sibiricum products.

Researchers used graphene oxide to restructure stem cell spheroids into multiple smaller aggregates, nearly doubling exosome yield and producing vesicles that accelerated vascularized wound healing in rats.

A map built from more than 14,000 embryo cells reveals what stem cell models get right about early human development and where researchers could improve them. Under a microscope, a cluster grown from stem cells can resemble a human embryo in its first days of development. These structures, called blastoids, offer scientists a way to [...]

In the field of radiology, AI models have the potential to improve imaging analysis, speed up diagnoses and catch errors that might otherwise be missed. But the vast majority of these models are trained on adult data and don't translate well to infants and children, keeping these advances out of reach of neonatal and pediatric care.

A new knowledge distillation framework compresses three large neural networks into a 6.97 MB model that classifies rice diseases, localizes infections, and quantifies severity on a budget smartphone in under 15 milliseconds.

NASHVILLE, Tenn. — Liver transplantation yielded favorable short- and intermediate-term outcomes for patients with unresectable colorectal liver metastases confined to the liver, according to a study presented at ACG Annual Meeting.Additionally, incidence of graft-related mortality after transplant was low, with most deaths among transplant recipients related to malignancy.“Liver transplantation for unresectable colorectal liver metastases is an emerging indication, but its role in the United States remains highly selective and continues to evolve,” Ragesh B. Thandassery, MD, a hepatologist

A new European report says AI can improve care, but only if doctors stay in charge and high-risk systems remain under strict human oversight.

The investment will expand continuous cover forestry across Europe, and represents SLM Silva Fund II's first and final close. The post SLM Partners secures $167m from Dutch pension investor to regenerate forests appeared first on AgFunderNews.

A new review charts how stem cell-derived human microglia, brain organoids and chimeric mice are overcoming the genetic and environmental limits of traditional models to transform the study of neuroimmune disease.

Researchers have built AMIFound, a single foundation model trained on 3.76 million image pairs that restores and enhances medical images across seven modalities, outperforming 38 specialist baselines and improving downstream disease detection and cancer prognosis.

UC Davis Health research has found that people who received a kidney from a living donor with a history of smoking face a higher risk of transplant failure. Transplant failure, known as graft loss, occurs when the transplanted kidney permanently stops working. The highest risk was among patients whose donors had a substantial smoking history.