Healthcare

Several studies suggest GLP-1 drugs may lower cancer risk. But that benefit may be due to the patients themselves: those who are healthier, wealthier and with better access to care.

The union for 12 nurses laid off by Montefiore hospital say company broke contract they recently won through a strike Marilyn Shuler has worked as a utilization review nurse for 39 years at Montefiore hospital in the Bronx in New York City, helping to read patient charts and communicate with insurance companies over coverage. After nearly four decades in her job, Shuler is one of 12 nurses who were laid off Sunday after being replaced with AI-powered software, according to the New York State Nur

FTC alleges Edwards Lifesciences and Genesis structured JC Medical deal to avoid federal antitrust review The Federal Trade Commission secured $12 million in penalties to settle charges alleging that Edwards Lifesciences Corp. acquired medical device maker JC Medical from Genesis MedTech Group Limited without complying with the notification and waiting period requirements of the Hart-Scott-Rodino Act (HSR). View Press Release

What GAO Found In 2023, the Department of Defense (DOD) directed the military departments—Army, Navy, and Air Force—to update their policies on clinical quality management to align with Defense Health Agency (DHA) procedures to ensure high-quality care in operational settings. In December 2024, GAO reported that the military departments had not yet issued policies, specifically on provider credentialing and privileging, and recommended that they do so. As of March 2026, GAO found that Army and A

What GAO Found The Department of Defense (DOD) used multiple strategies to fund support for southern border operations since the start of fiscal year 2025 and into fiscal year 2026. Specifically, DOD realigned $1.74 billion in funding from amounts appropriated for fiscal year 2025 from various funding categories; transferred $608 million from or through DOD’s Drug Interdiction and Counter-Drug Activities, Defense account; relied on military construction authorities to fund border barrier project

What GAO Found Millions of consumers rely on the assistance of health insurance agents and brokers to purchase health insurance plans through federal and state Marketplaces established by the Patient Protection and Affordable Care Act. The federal Marketplace is maintained by the Centers for Medicare & Medicaid Services (CMS). To assist consumers in the federal Marketplace, agents and brokers must be licensed to sell health plans and be registered with the Marketplace, among other things. CMS co

What GAO Found Millions of consumers rely on the assistance of health insurance agents and brokers to purchase health insurance plans through federal and state Marketplaces established by the Patient Protection and Affordable Care Act. The federal Marketplace is maintained by the Centers for Medicare & Medicaid Services (CMS). To assist consumers in the federal Marketplace, agents and brokers must be licensed to sell health plans and be registered with the Marketplace, among other things. CMS co

After China’s cross-border deals for innovative drugs hit a record US$110 billion in the first half of 2026, the sector is now pivoting towards artificial intelligence-powered candidates to drive the next wave of transactions. China accounted for about 30 per cent of all new drugs currently under development worldwide, ranking second globally, according to Lan Gongtao, deputy director general of the Department of Drug Registration at the National Medical Products Administration. China’s...

Google Research's SensorFM is a foundation model trained on more than a trillion minutes of wearable data from five million Fitbit and Pixel Watch users. It beats existing benchmarks on 34 of 35 health and behavioral tasks. SensorFM could eventually power Google's AI health coach, but the company hasn't announced any integration plans yet. The article Google’s SensorFM turns messy wearable sensor data into a general-purpose health intelligence layer appeared first on The Decoder .

The post A U.S.-Mexico Impasse Will Test How Far the Trump Administration Will Go to Fight Drug Trade appeared first on ProPublica .

The growing ability of large language models and vision language models to jointly interpret and reason over images and text is reshaping medical agents, moving them from task specific predictors toward autonomous systems that perceive, reason, plan, remember, and act in clinical environments. This work departs from the capability first perspective of existing literature and instead begins from clinical deployment, asking what tasks, contamination resistant benchmarks, and interactive training e

Cyberangriffe und Datenlecks im Gesundheitswesen sorgen für Unsicherheit. Wie ein mehrfach Betroffener selbst handelt und wo es hakt, zeigt diese Podcast-Folge.

Senior China correspondent Amy Hawkins on China’s embrace of AI, from medical avatars to food delivery drones and state surveillance While the spread of AI has been met perhaps with a lot of scepticism in the west, China has fully embraced the technology, explains Amy Hawkins , from millions of users talking to AI doctors, to the use of intelligent robots in factories, and drones delivering food on the Great Wall of China. AI has also been eagerly taken up by the state, not least in the opportun

A former Mayo Clinic research director claims she was silenced, demoted and ultimately fired for sounding the alarm on AI safety and patient privacy lapses at the health system. Traci Tamiko Eto is now suing Mayo for retaliation. The post Former Mayo Clinic Leader Sues System Over Alleged AI Cover-Up: 6 Things to Know appeared first on MedCity News .

Brain–computer interface (BCI) systems based on motor imagery hold significant clinical value for individuals who have lost voluntary movement, but most studies test BCI assistive devices like powered wheelchairs under ideal conditions where motor imagery signals are not interfered by simultaneous cognitive load. This work records electroencephalography (EEG) from 13 participants across four tasks: baseline rest, mental arithmetic (Easy, Medium, Hard), pure left/right motor imagery and both task

Contemplative traditions have long guided ethical behavior and prosocial interaction, and recent work suggests that contemplative principles (e.g., mindfulness, compassion, non-dual reasoning) may offer a promising paradigm for aligning large language models (LLMs), improving cooperation and reducing ethical violations in LLM outputs. However, as new models, evaluation metrics, and benchmarks emerge rapidly, it remains challenging to systematically assess whether and how contemplative principles

Editor’s Note: This article contains an exclusive excerpt from Latency by Pekka Engberg, which helps readers diagnose latency problems and The post How async processing hides latency and improves responsiveness appeared first on The New Stack .

On-Policy Self-Distillation (OPSD) has emerged as a crucial paradigm for enhancing and aligning Large Language Models (LLMs). However, in complex reasoning tasks, OPSD paradoxically degrades downstream performance. In this paper, we systematically investigate this pathology and identify a severe optimization trap we define as \textbf{Thinking Collapse} -- a sharp decline in the model's native intermediate reasoning behavior, measured by epistemic-token density (ET per 1k). Through entropy-based

Microsoft recently took the wraps off Brain, the internal AI system that continuously monitors Azure’s health and, increasingly, acts on The post Meet Brain, the AI that decides when Azure is officially down appeared first on The New Stack .

Companies backed by the state and provincial governments in China have announced new funds to focus on the semiconductor industry, which requires a large amount of time and resources to grow, at a time when the country is in need of more “patient capital”. China Life Insurance, the country’s largest life insurer, backed by the State Council, said it would establish a partnership with total capital of 5 billion yuan (US$737 million) that “principally invests in companies operating in the...

As school administrators map out curricula, schedules and priorities for the next school year, they should be thinking holistically about what kids actually need. Because honestly, young people are not doing well, and education systems aren’t doing enough about it. The Centers for Disease Control and Prevention describes what young people are experiencing right now […]

Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, code execution, debugging, and empirical feedback. Translating this capability to medical imaging remains difficult because each task imposes modality-specific experimentation and strict requirements for validation protocols and prediction artifacts. Here we introduce AMID, an autonomous multi-agent framework for medical imaging model development. AMID first proposes Data-Conditio

Layout-based 3D scene synthesizers place each object using two human-annotated channels: a categorical class label and a canonical-pose convention. We ask whether a single self-supervised token derived from object geometry can replace both, and study such tokens directly as a representation, decoupled from any synthesizer. A Finite Scalar Quantization (FSQ) point-cloud autoencoder is chamfer-trained on placed 3D-FUTURE furniture with no labels or pose annotations. Diagnostic probes recover fine-

Brain-computer interfaces (BCIs) are a class of diverse hardware modalities, associated software, and connected devices which are widely used in a variety of fields, including neurosurgery, biomedical data analysis, and neuroimaging. Recent years have seen rapid advancements in BCI technology, and neurotechnology more broadly, with the first devices now passing clinical trials, early examples of consumer hardware entering the market, and many variants of consumer and medical hardware with increa

You should take calorie data with a grain of salt. Here's what I learned after testing the Fitbit Air's heart rate data against a gold standard heart rate monitor.

Upbeat on-hold music blared from Jerrica Mickens’ cellphone for nearly 50 minutes as she searched on her laptop for affordable housing for a parent in Detroit. Mickens was on a three-way call with a mother and a legal aide hotline the morning of April 21 in her Central High School office. As the two waited […]

GENEVA, July 10, 2026 - The AI for Good Global Summit concluded following four days of sessions that demonstrated the widespread application of artificial intelligence in a variety of sectors, including health and agriculture, mobility, education, creative industries, and public policy. The summit also raised awareness of quantum technologies, robotics, and the standards and infrastructure required to facilitate their widespread deployment. The post Day 4 at the AI for Good Global Summit: Women’

Artificial intelligence is reshaping hospital care delivery through federated learning pipelines, edge-cloud inference architectures, and AI-driven clinical decision support. Yet the translation of these AI capabilities into patient-centred, institutionally governable, and humanised hospital systems remains fragmented across the literature. This paper addresses that gap through a PRISMA-compliant systematic evidence synthesis of 116 included studies and reports (inter-rater reliability $$\kappa

Background: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demonstrate promise by targeting bone-remodeling pathways, yet evidence for their efficacy and safety remains fragmented and heterogeneous, and no prior systematic review in OI has incorporated artificial intelligence (AI) to synthesize it. Objective: This study aims to systematically evaluate the efficacy and safety of novel biologics in patients with O

Days after John Bartrum’s exit, John Figueroa takes up the reins of the agency charged with modernizing veteran health records for a second time. The post VA taps familiar face as acting health secretary overseeing EHR work appeared first on FedScoop .

While cyberattacks against hospitals and clinics grew modestly in the first half of 2026, attacks on service providers and other healthcare businesses more than doubled.

Text-guided medical image segmentation leverages clinical semantics to improve lesion delineation, yet many existing models bind cross-modal fusion, supervision, and decoder design into a task-specific architecture. Such tight coupling makes it difficult to reuse language guidance modules across heterogeneous vision and text backbones, and often requires redesigning the network when the encoder pair changes. This paper presents BTHA, a backbone-transferable hierarchical adapter framework for tex

What GAO Found The Department of Veterans Affairs (VA) is working to modernize its IT systems to increase efficiency and accuracy of claims processing for disability compensation. However, past GAO reports have found that VA faces long-standing challenges in managing its disability compensation program and implementing innovative technologies. For example, GAO found gaps in VA’s oversight of the quality of exams provided by contracted medical providers and in the management of training for claim

As America celebrates the 250th anniversary of the signing of the Declaration of Independence, recent polls remind us of how divided this country remains. And yet, despite these harsh numbers, it’s not as divided as polls portray. Americans across the political spectrum are finding unexpected common ground. For example,  health  is becoming a powerful force reshaping traditional political alliances, with bipartisan movements to ban food additives and  pesticides , expand care for

Large language models (LLMs) are increasingly deployed in online medical consultation, yet existing benchmarks remain poorly aligned with real clinical practice. Many rely on synthetic conversations or patient simulators, omit patient-uploaded medical images, or evaluate open-ended clinical responses using multiple-choice or lexical-overlap metrics that poorly reflect clinical quality. We introduce \textbf{MedRealMM}, a large-scale benchmark for multimodal online medical consultation built from

Medical imaging models are often deployed without the demographic, acquisition, and quality metadata needed for subgroup auditing. Once those metadata disappear, clinically critical failure modes can be masked by strong aggregate performance, and many robust-learning methods lose the group structure they rely on. We present CAPRA, a calibrated proxy-axis framework for hidden subgroup analysis under missing metadata. CAPRA predicts image-derived semantic axes, calibrates axis posteriors on a smal

Ms. Simo, who was Sam Altman’s second in command before taking a medical leave in April, will become a part-time adviser to the company.

Background and objectiveArtificial intelligence has improved adenoma detection during colonoscopy, but most models remain black boxes, limiting clinical trust, especially for sessile serrated lesions (SSLs). Concept Bottleneck Models (CBMs) route predictions through human-understandable concepts. We propose an end-to-end CBM for colonoscopic polyp classification with concept-level explanations aligned with clinical standards.MethodsWe defined 62 concepts from NBI International Colorectal Endosco

A recent review of nationwide and global medical data links the shift to an aging population and better detection, with the country's cancer profile changing alongside rising case numbers.

The move comes after Simo took significant medical leave. She will stay on as a part-time adviser.