Healthcare

An Agency That Supports Health-Care Improvement Cuts Off Grant Funding Ryan Quinn Sun, 07/19/2026 - 02:30 PM The Agency for Healthcare Research and Quality sent researchers letters last week saying they wouldn’t receive long-awaited funding continuations. The agency cited the “best interest of the federal government.” Byline(s) Ryan Quinn

The fear of becoming obsolete is a rising source of anxiety as artificial intelligence emerges in the workplace. Staying strongly connected with others will help The modern mind is a column where experts discuss mental health issues they are seeing in their work Earlier this year Paul* discovered via a flurry of media stories that his business group had been targeted for job cuts, alongside a number of other public-sector agencies. For him, this was the second time, after his technical managemen

Human-like private chat requires more than fluent response generation: a system must preserve persona, relationship, memory, bounded knowledge, medium-specific timing, and a coherent multi-turn arc. We present AnthroDial, a closed-loop framework that formulates anthropomorphic dialogue as a joint problem of system architecture, executable evaluation, and diagnostic alignment. It combines (1) a role-conditioned scheduled dialogue runtime with persona and scenario cards, long-term memory, virtual

Test-time scaling empowers Large Reasoning Models (LRMs) to tackle complex tasks via extensive Chain-of-Thought (CoT). However, this often induces the "overthinking" paradox, where redundant reasoning increases computational overhead without guaranteeing accuracy. Existing test-time efficiency optimization methods primarily fall into two categories: information-theoretic approaches, which are prone to "deceptive convergence" where low uncertainty masks hallucinations, and latent representation a

Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 20% of new mothers worldwide. Common screening approaches for PPD, such as self-report questionnaires and active digital logs, rely heavily on user input and thus impose a substantial burden on participants, limiting their feasibility for long-term use. Recent passive mobile sensing (PMS) approaches have enabled low-burden detection of depressive symptoms using machine learning methods with multi-m

AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study. Evaluating these systems requires source-level diagnosis: the same behavioral pattern may arise from an agent representational substrate or from the roles, objectives, interaction structures, and governance rules that shape its expression. This Perspective proposes a diagnostic framework for AI agent behavior: layer attribution. The foundational computational layer def

PsychAdapter lets researchers dial in on personality traits, age, and mental health characteristics to generate text that sounds like real individuals, opening the door to training simulations and personalized content.

The RadLE 2.0 benchmark tests whether AI models in radiology can tell when they should leave a diagnosis to a human. Many models deliver wrong findings with full confidence, and human radiologists are still well ahead. Before AI can diagnose on its own, it needs to learn when it's better to say nothing. The article AI chatbots reading X-rays can be dangerously confident even when they're wrong appeared first on The Decoder .

LLM constraint reasoners are often evaluated near the random-SAT phase transition, confounding density and solver hardness. We test instance-level transfer while near-matching clause density. At aligned size bins, with near-matched density and matched maximum clause width, we compare proof-hard expander-Tseitin and proof-easy ladder-Tseitin formulas, pigeonhole anchors, and density-mismatched controls. Theory separates their resolution hardness; a solver-specific Glucose mean-conflict proxy diff

Introduction. Clinical and Translational Science Award (CTSA) programs must document their scholars' research impact, but assembling each scholar's record by hand takes staff an estimated 15 hours and does not scale to a full cohort. An artificial intelligence (AI) agent could serve as a tool to gather scholar data across platforms and disciplines. Methods. We built a human-in-the-loop AI agent that assembles a dossier of sourced evidence for each scholar and drafts one-sentence Translational Sc

Raidium, a Paris and Silicon Valley-based radiology startup, has launched its AI-native imaging platform in the US at Moffitt Cancer Center, one of the country’s leading oncology research institutions. The platform, called Raidium Read, replaced Moffitt’s legacy radiomics applications and is currently available for clinical trials and research use. FDA 510(k) clearance is expected before […] This story continues at The Next Web

Kirby died Wednesday three years after being diagnosed with ALS.

From mega-hit franchises to a destructive drug addict to a cowgirl whose husband is hiding a secret love affair, Anne Hathaway has been one of Hollywood’s most versatile leading women for more than 25 years. With the Oscar winner reuniting with Christopher Nolan as Penelope in “The Odyssey,” the highest-profile stop in a landmark 2026 […]

While Mars rover operators plan drives across hazardous Martian terrain and diagnose unexpected faults, the necessary information is distributed across separate systems and often reconstructed through manual correlation and memory. To address this challenge, we partnered with Mars rover operators at the NASA Jet Propulsion Laboratory to introduce Hindsight, a visual analytics system that unifies previously disparate rover drive data into a single workspace for search, comparison, and investigati

An Agency That Supports Health-Care Improvement Cuts Off Grant Funding Ryan Quinn Fri, 07/17/2026 - 06:15 PM The Agency for Healthcare Research and Quality sent researchers letters this week saying they wouldn’t receive long-awaited funding continuations. The agency cited the “best interest of the federal government.” Byline(s) Ryan Quinn

The House Ways and Means Committee unanimously advanced a bill to reform Medicare Advantage prior authorization requirements. The post Healthcare Groups Praise Unanimous Committee Approval Of MA Prior Auth Bill appeared first on Above the Law .

“In Central Command, we’re seeing disproportionately high traumatic brain injury rates in air defense,” said Col. Jessica Peck, a command surgeon. “Even a mild traumatic brain injury can significantly degrade effectiveness, impacting coordination, emotional regulation, spatial awareness, and decision-making.” The post Military services leaning into handheld blood testing devices to diagnose TBIs appeared first on DefenseScoop .

Background: Binge eating disorder (BED) is highly prevalent and impairing; yet, the UK national guideline–recommended first-line treatment of guided self-help (ie, supported program-led interventions in which content is delivered by the program with brief support) remains underused in routine National Health Service (NHS) care. Digital delivery offers a scalable approach, but evidence from real-world NHS settings is limited. Objective: This real-world evaluation aimed to pilot a supported digita

HSS chief digital and information officer Ashis Barad, who has worked on both the payer and provider sides of healthcare AI, thinks the industry’s growing “bot vs. bot” battle over prior authorizations and appeals is driving costs up. To him, the real fix lies in providers and payers sharing data to build more personalized care pathways. The post The ‘Bot Vs. Bot’ Dynamic Between Providers & Payers Is Driving Up Costs for Everyone appeared first on MedCity News .

Optical coherence tomography (OCT) imaging is essential for the diagnosis and treatment of retinal diseases. Although multimodal large language models (MLLMs) have demonstrated considerable potential in medical image analysis, existing benchmarks largely reduce OCT understanding to coarse-grained disease classification or isolated visual question answering, leaving the complete cognitive process from visual perception to clinical reasoning insufficiently evaluated. To address this limitation, we

Background: Acute respiratory infections caused by influenza, respiratory syncytial virus (RSV), and SARS-CoV-2 remain a major public health challenge in Europe. Although surveillance systems for these pathogens are well established, the past 2 decades have seen a rapid diversification of data streams supporting surveillance and research. This expanding data landscape, combined with fragmentation across institutions, sectors, and countries, may limit timely evidence synthesis and effective publi

The company is expected to deliver comprehensive, data-driven reports and assessments to illuminate and secure the military’s medical supply chain. The post DOD selects Accenture to investigate ‘existential supply chain vulnerability’ threatening military medicine appeared first on DefenseScoop .

While investigations are ongoing, health officials suspect shredded lettuce may be partly responsible for the current outbreak.

Evaluations should do more than measure a models current performance. They should tell us what to fix for the next model iteration and provide a way to generate targeted post training data. Most evaluation pipelines identify weak examples, topics, or categories, but they leave the underlying capability failure implicit: they say where a model fails, not why. We introduce CRAFT, a method that converts any rubric based evaluation dataset into a model specific diagnosis of weak capabilities. CRAFT

Understanding how vision-language models (VLMs) interpret data visualizations remains an open problem, and is increasingly important as these models are used for analytical tasks where reliable reasoning is essential. We introduce a lightweight, diagnostic saliency map method tailored for text generation over images using transformer models, the current state-of-the-art models in visualization interpretation. Our approach aggregates the language model's attention over the visual tokens across al

Connecticut Attorney General William Tong is again joining a lawsuit against the U.S. Department of Education as it continues trying to end federal grants for school-based mental health services. If this sounds familiar, it’s because Tong joined a lawsuit about these same grants one year ago. That’s when the Department of Education initially discontinued the […]

Retinal layer segmentation in Optical Coherence Tomography (OCT) is a fundamental step for extracting quantitative biomarkers of retinal structure. Indeed, there is a growing interest in the analysis of OCTs in the context of neurodegenerative diseases. However, segmentation remains challenging due to speckle noise, shadowing artifacts, low contrast between adjacent layers, anatomical variability across subjects, and domain shifts arising from different acquisition protocols and clinical populat

Possibly. But only under medical supervision

The biologist’s bold “energetic view of life” looks to the body’s strangest organelles as the link between cells, health, and mind and the foundation of our experience of being alive. The post Martin Picard’s Mitochondrial Theory of Mind first appeared on Quanta Magazine

The flourishing code hosting platforms and coding agents enable even beginners with private data to build tailored Machine Learning (ML) models using available code quickly. The training data for ML models, often regarded as private property (e.g., clinical records, transaction information), is at significant risk of information leakage. Property Inference Attacks (PIAs), as a significant type of privacy attack, aim to expose global property information of the training set. In this paper, we pre

Adult and pediatric electrocardiogram (ECG) interpretation relies on age-sensitive criteria, and models pretrained mainly on adult ECGs often transfer poorly to pediatric populations when pediatric labels are scarce. Existing multimodal ECG--text methods typically align waveforms and text at the global sample level, entangling evidence from co-occurring diagnoses and limiting transfer under this gap. We propose Pediatric-Adult ECG Alignment via Cross-modal Enhancement (PEACE), a knowledge-guided

Healthcare, coding education, digital payments and youth employment are among the initiatives organisations are supporting as they mark Mandela Day.

Meta touts safety features – but for women, the dangers of these recording devices are obvious Imagine if every time you left the house, you couldn’t be sure that the stranger you met at a bar – or even the person walking by you in the street – wasn’t secretly recording you. It sounds like something out of a Black Mirror episode, but let’s face it, the era of wearable technology is fully upon us as everyday accessories have been developed to help track health and fitness data, receive smartphone

OWL ontologies provide a formal knowledge representation framework that enables semantic reasoning, and have been widely adopted across domains such as healthcare and bioinformatics. In practice, however, real-world ontologies are often incomplete, which pose challenges for reasoning. In this work, we focus on a fundamental subsumption reasoning problem: given an incomplete ontology and a candidate (non-entailed) subsumption, determine whether the subsumption is semantically plausible and, if so

Access to potable water is crucial for health, economic development, and sustainability. However, accurately classifying water quality remains a significant challenge due to the complexity and variability of water source data. This paper addresses the challenge of predicting water potability through machine learning and deep learning algorithms. It introduces a novel feature augmentation algorithm, AquaAugmentor, to enhance the predictive performance of these models for low-dimensional datasets.

Generative AI and coding agents are intensifying a central governance tension in open-source software (OSS): they scale contribution generation faster than maintainers can assess risk, evidence, and accountability. Existing responses improve agent-readability and traceability, but project rules must also organize contribution-specific risk, evidence, accountability, and review-gate states. We theorize this organizational arrangement as project-side governability infrastructure. A diagnostic audi

CEPS is pleased to announce a call for interest for a new three-day executive course designed for mid- to senior level health policy experts and practitioners from low- and middle-income countries ...

arXiv:2509.01231v4 Announce Type: replace-cross Abstract: Care is primarily a collective phenomenon, with a practice that involves sharing health and wellbeing information within a trusted "care circle" of family members and companions for sensemaking, interpretation, decision-making, and follow-through. However, current digital health tools and information systems are designed for individuals and primarily intended for Personal Health Informatics (PHI). This mismatch between collective practice