Healthcare

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Clinical laboratory testing technology has advanced significantly since the Clinical Laboratory Improvement Amendments of 1988 (CLIA) regulations were implemented in 1992. This request for information (RFI) seeks input from the public regarding various topics related to the CLIA regulations, including: breath testing; laboratory processes and procedures; emergency preparedness, biosafety and biosecurity, and cybersecurity; and specialty testing areas. Responses to this RFI may be used to help in

This proposed rule addresses: changes to the physician fee schedule (PFS); other changes to Medicare Part B payment policies to ensure that payment systems are updated to reflect changes in medical practice, relative value of services, and changes in the statute; codification of establishment of new policies for: the Medicare Prescription Drug Inflation Rebate Program under the Inflation Reduction Act of 2022; the Ambulatory Specialty Model; updates to drugs and biological products paid under Pa

BackgroundViral non-suppression is the primary actionable risk state in routine HIV care, yet most individuals are identified after virological failure and/or drug resistance, rather than proactively. In Uganda and similar resource-limited settings, routine electronic medical records (EMR) are collected at scale but remain underused for targeted, data-enabled risk stratification. We aimed to develop and internally validate machine learning and regularized regression models for predicting viral n

BackgroundStandard Retrieval-Augmented Generation (RAG) systems only use semantic similarity to retrieve information, and since this method is quite limiting, it may find clinically irrelevant evidence and produce outputs that are unsafe or hallucinated. This drawback is particularly important in respiratory care, where the diagnosis relies heavily on very accurate physiological indicators such as spirometry patterns and symptom profiles.MethodsWe propose MMCRAG-Resp., a clinically grounded, phy

BackgroundThe systematic integration of robotics into health service delivery systems requires periodic assessment of robotic readiness in terms of digital-health maturity regimes across countries. The current study aims to cluster 169 countries into maturity regimes and classify and predict cluster membership accuracy based on digital-health maturity dimensions determining the system’s perception and interoperability, coordination, and workforce–regulatory reliability readiness. These country-l

Bronx, NY-- Montefiore is planning to lay off real nurses and replace them with artificial intelligence (AI)-powered software. These are nurses who use their decades of bedside experience and clinical judgement to review insurance denials a ... (https://incidentdatabase.ai/cite/1593#7523)

The New York State Nurses Association (NYSNA) alleged Wednesday, July 1, that Montefiore Health System, a private hospital system operating in The Bronx and Westchester Counties, is planning to lay off real nurses and replace them with arti ... (https://incidentdatabase.ai/cite/1593#7524)

Background: The rapid expansion of remote patient monitoring (RPM) interventions highlights the need for their comparison and evaluation. Current evaluation frameworks often fail to capture a multistakeholder perspective. Traditional health technology assessment approaches emphasize health and economic outcomes, providing an incomplete picture of RPM’s broader impact. The Sextuple Aim, encompassing health outcomes, costs, patient and provider experience, equity, and sustainability, offers a more

Using sentiment analysis of 44,216 public health–related posts from the FedNews Reddit forum (2020-2025), we found that fear and anger scores rose 32% and 63%, respectively, in 2025 over 2024. These results underscore the adverse mental health impact of federal workforce changes and funding cuts on public health employees.

Background: Medication abortion accounts for the majority of abortions in the United States, driven in part by the growth in access to telehealth provision of medication abortion. While research indicates high patient satisfaction with telehealth medication abortion care, research on care preferences of patients who use medication abortion remains understudied. Understanding these preferences is essential to informing evidence-based policies that enable people to access person-centered abortion

Background: Hypertension is a major global health challenge, and effective health education is crucial for improving patients’ self-management. Traditional health education approaches are often limited by insufficient personalization, accessibility, and scalability. Artificial intelligence (AI), including natural language processing, machine learning, and large language models (LLMs), offers promising solutions to address these limitations. However, evidence regarding AI applications in hyperten

No name. No product. No confirmed funding. And, possibly, a $2bn price tag. That is the shape of the newest bet in AI drug discovery. Miles Wang, a researcher at OpenAI, is leaving to start his own company, TechCrunch reported. He is in talks to raise about $200m at a $2bn valuation, with Lightspeed in […] This story continues at The Next Web

Background: Adolescents who experience the loss of a family member are at increased risk of adverse mental health outcomes, yet many face barriers or may be reluctant to access in-person or group-based support. mHealth (mobile health) interventions can help address these barriers by offering flexible, accessible, and low-threshold support. Objective: This study evaluated the short- and long-term mental health effects of Alba – Youth in Grief, a preventive self-management mobile app for bereaved

Background: Summary of findings (SoF) tables are widely used in systematic reviews and clinical practice guidelines to present evidence about health care interventions in a concise and transparent format. Although developed to improve accessibility and interpretation of evidence, previous studies have shown that users often experience difficulties understanding statistical information, certainty ratings, and the relationships between outcomes and treatment effects. Limited research has explored

Oura Rings, Garmin GPS fitness watches, Apple Watches, Whoop bands—every year, more and more tech devices are promising to monitor our health and fitness, guide us toward healthier living, and provide useful health metrics to take to our doctors. But few of these tools provide the sorts of privacy and security promises we demand from all technology, let alone tech that captures personal health data. It’s time they step up and start providing transparency reports and stronger encryption options.

Background: Online health information–seeking (OHIS) behavior shapes health self-management, and eHealth literacy—the ability to seek, appraise, and apply electronic health information—is regarded as its key driver. Previous reviews aggregated heterogeneous outcomes, focused on measurement properties, or examined single clinical populations, without isolating the eHealth literacy–OHIS link. Objective: This study quantified the strength and heterogeneity of the eHealth literacy–OHIS association a

Seizure diagnosis from EEG signals is a critical yet persistently challenging task, due to the complicated neural dynamics and the spurious connections in inter-channel modeling. While spatial-temporal graph neural networks (STGNNs) have advanced EEG brain network representation learning, the resulting graph structures suffer from low clinical plausibility and limited interpretability due to their purely data-driven nature. To this end, we introduce NeuroGRIP, a retrieval-augmented graph refinem

Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from shared model updates. The extent of this leakage for radiology reports, and the role of tokenizer design, remains unclear. We quantify gradient-based text reconstruction in FL and compare privacy risk across three tokenizers with the model architecture held fixed. Six FL clients trained a GPT-2-style transformer (sequence length

What the heck is healthcare engineering? 'Health in a Handbasket' Healthcare Engineering is a bit of a confusing term. What even is it? We break down what healthcare engineering is, hear about the ...

A study led by researchers at NTU Singapore's Lee Kong Chian School of Medicine has found that many developers creating artificial intelligence (AI) tools for healthcare have limited familiarity with ...

A group of 26 Meta employees has sued the company, claiming it used artificial intelligence systems to select people for layoffs, disproportionately targeting those on medical, parental or family leave. They are among the 8,000 employees, or about 10% of its workforce, Meta said it would lay off in May. The lawsuit filed late Monday...

Lightspeed was the lead investor in AI music generator Suno's $125 million Series B round in 2024. Source

In this AI Prognosis news roundup: Mayo's AI whistleblower, Sutter Health's reply to lawsuit over Abridge scribe, and more.

[Sponsored] A complete walkthrough of the modern medical record retrieval pipeline — followed by the scorecards, fee agreement language, and ROI worksheet you can hand to your operations lead. The post The End-to-End Medical Record Retrieval Playbook appeared first on Above the Law .

Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging. We developed a time-to-event, digital-twin-inspired framework that integrates longitudinal ALS Functional Rating Scale-Revised (ALSFRS-R) trajectories with survival modeling to support individualized prediction of functional decline and assistive device utilization. We constructed a harmonized lon

Personal health management unfolds over repeated encounters, yet most health AI systems treat each request in isolation. We developed HealthClaw, an open-source agent architecture that updates support as a person's routines, preferences, measurements and risks change. It separates shared safety rules and medical knowledge from private longitudinal memory containing profile facts, reusable procedures and episodic traces. After each episode, induction determines what should update the profile, rev

Co-authored by Sarah Hanson, FPF Health & Wellness Intern This article discusses suicidal ideation, which may be distressing for some readers. (If you or someone you know is struggling, help is available. You can call or text the Suicide & Crisis Lifeline at 988 or visit 988 Lifeline for free, confidential, 24/7 support.) As many […]

Nearly 200 healthcare and patient advocacy organizations endorsed the bipartisan Clinical Trial Modernization Act, which seeks to reduce financial barriers and expand access to clinical trials for underrepresented patients. The post Nearly 200 Organizations Back Bill To Expand Access To Clinical Trials appeared first on Above the Law .

China has completed the world’s first commercial surgery using an invasive brain-computer interface (BCI) device approved in March, marking a leap in the country’s neurotechnology push to rival Elon Musk’s Neuralink. Chinese surgeons implanted a coin-sized brain chip on a patient with impaired hand mobility linked to a spinal cord injury from a car accident 10 years ago, according to a statement from the Science and Technology Commission of Shanghai Municipality on Wednesday. The procedure,...

Accurate determination of pancreatic ductal adenocarcinoma (PDAC) resectability relies on evaluating how the tumor interacts with major peripancreatic vessels on CT imaging, yet expert assessment often shows substantial variability. We introduce a fully automated multimodal deep learning framework that jointly analyzes 3D contrast enhanced CT and structured clinical information to classify patients into the three National Comprehensive Cancer Network (NCCN) resectability categories (upfront rese

A lot is written about corruption, but fundamentally it’s about trust and how healthy societies can’t exist without it; and the World Cup has shown what happens when trust breaks down. The decision to allow U.S. striker Folarin Balogun to play in the World Cup match against Belgium was, according to FIFA, made by the The post FIFA’s games betray our trust appeared first on Coda Story .

Access to education continues to worsen in the West Bank, the United Nations reported on Wednesday. Ten schools in Area C of the West Bank were recently abandoned due to settler attacks and access ...

Gidi Littwin’s new AI startup, Hemispheric, makes diagnostic brain scans for conditions like depression, PTSD, and Parkinson’s. He wants the technology to be as cheap and easy as for a blood test.

The Federal Trade Commission finalized an order with Vanilla Chip LLC—which does business as TruHeight—and its two principals requiring them to pay $750,000, while barring them from making false or unsupported health claims and using fake or incentivized consumer reviews. View Press Release

À 99 euros, le Google Fitbit Air est un des produits les mieux positionnés pour suivre sa santé… mais son application n'exploite pas assez bien les données collectées. La version 3.1 de Bevel change la donne : l'app peut désormais se connecter directement à Google Health et transforme le bracelet en alternative crédible à Whoop.

Why This matters Across the globe, over 24 million tons of plastic (as much weight as 12 million cars) enter the environment each year. Larger plastics gradually break down into smaller microplastics, which can move into the organs, blood, and cells of humans and other animals. Key Takeaways Major sources of microplastics include vehicle tires, synthetic fabrics, plastic bottles, and paint. Exposure to microplastics is associated with health problems in humans and other organisms, but scientists

Withings' new $600 bathroom scale promising clinical-grade monitoring is finally available to buy.

D2C healthy snacking brand Open Secret has raised over ₹50 Cr ($5.2 Mn) in a funding round led by Desai…