Mobile health (mHealth) apps are increasingly deployed for evidence-based mental health interventions, broadening access to care. While effective, Internet-based Cognitive Behavioural Therapy, delivered via web or app, frequently overlooks ethnic minority and migrant populations. Effective cultural adaptation of mHealth apps is critical to their impact and accessibility; however, existing frameworks often lack specific guidance for […]
Stratified and combined analysis of the quality of lumbar spinal stenosis–related videos on major Chinese short video platforms
BackgroundLumbar spinal stenosis (LSS) is a degenerative disorder in which narrowing of the spinal canal compresses neural elements, causing pain, numbness, and limited mobility. With the rapid growth of Chinese short video platforms (TikTok, Bilibili, Xiaohongshu, Kwai, and WeChat), the public increasingly relies on short videos for LSS-related health information. However, the quality of such […]
Differential acceptance of a national digital health platform among community and frontline health workers in Cote d’Ivoire: a cross-sectional study
IntroductionMobile-based digital health solutions are critical technologies that play a significant role in improving the quality of healthcare services. Cote d’Ivoire is digitizing its community-based health information system (CHIS), piloting the mHealth.ci that is composed of an eCHIS and other tools for community health workers (CHWs) and frontline health workers (FHWs) in the Poro health […]
Based on dual perspectives of management and ethics: exploring challenges and governance approaches for new media applications in psychiatric specialty hospitals
The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand building. However, due to the unique characteristics and sensitivity of the mental health field, the challenges faced by new media applications in this domain far exceed those […]
Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care
ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/output operations per second (IOPS) bottlenecks and latency issues inherent in traditional SQL and general-purpose NoSQL systems, which impede real-time clinical decision-making.MethodsWe conceptualized and implemented “SubDataBase-0.91s,” a task-specific Database […]
Novo Nordisk’s Q1 in four words: Pills, pricing, payments and pressure
A million patients with obesity are already taking Novo Nordisk’s Wegovy pill, CEO Mike Doustdar said Wednesday, despite the market entry of Lilly’s Foundayo. Novo’s pill had sales of 2.3 billion Danish …
Novo Nordisk buoyed by outperforming oral Wegovy in Q1
Shares in Novo Nordisk rose this morning after its highly anticipated first-quarter results revealed better-than-expected uptake of oral Wegovy.
Cannabis leads the microdosing wave, US National survey reveals
A UCSD study found that 24 million Americans have microdosed cannabis, making it twice as popular as psychedelic microdosing A new study from the University of California, San Diego, reveals that microdosing is far more prevalent in the U.S. than previously estimated. While public conversation often focuses on “magic mushrooms” or LSD, the data shows […]
Middle East Cyber Battle Field Broadens — Especially in UAE
As the war with Iran continues, breach attempts targeting the United Arab Emirates tripled in a few weeks — many targeting critical infrastructure.
Healthcare AI GYM for Medical Agents
arXiv:2605.02943v1 Announce Type: cross Abstract: Clinical reasoning demands multi-step interactions — gathering patient history, ordering tests, interpreting results, and making safe treatment decisions — yet a unified training environment provides the breadth of clinical domains and specialized tools to train generalizable medical AI agents through reinforcement learning remains elusive. We present a comprehensive empirical study […]
AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines
arXiv:2605.02967v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs, but performance is highly sensitive to complex architecture designs and hyper-parameter configurations, which currently rely on inefficient manual tuning. We present AutoRAGTuner, a declarative, configuration-driven framework that automates the RAG life cycle: construction, execution,evaluation, and optimization. AutoRAGTuner employs a modular architecture to decouple pipeline stages […]
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
arXiv:2605.02900v1 Announce Type: cross Abstract: Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As these systems gain autonomy and enter domains such as transportation, healthcare, and industrial or assistive robotics, ensuring their safety becomes both technically challenging and socially indispensable. Unlike digital AI systems, […]