Rapid test trial to diagnose winter respiratory infections in minutes

NIHR-supported trial tests a rapid, low-cost point-of-care test that can diagnose flu, COVID‑19, and RSV in minutes, potentially speeding up winter diagnosis and care across the NHS An NIHR-supported trial is underway in Southampton to evaluate a new rapid point-of-care test that could identify winter respiratory viruses such as flu, COVID‑19, and RSV in just […]

Collaborative and Cooperative Hospital “In-House” Medical Device Development and Implementation in the AI Age: The European Responsible AI Development (EURAID) Framework Compatible With European Values

The last years have seen an acceleration in the development and uptake of artificial intelligence (AI) systems by “early adopter” hospitals, caught between the pressures to “perform” and “transform” in a struggling health care system. This transformation has raised concerns among health care providers as their voices and location-specific workflows have often been overlooked, resulting […]

Leveraging telemedicine to improve MNCH uptake in Kenya: a community-based hybrid model

BackgroundKenya faces significant challenges in providing adequate access to maternal, newborn, and child health services, particularly in remote and underserved areas. Limited infrastructure, healthcare worker shortages, and financial constraints hinder access to timely, essential care. As health systems continue to face increasing demands, Telehealth solutions offer a promising approach to bridging geographical gaps and improving […]

Type 2 diabetes prediction without labs: a systems-level neural framework for risk and behavioral network reorganization

BackgroundPrediction models for Type 2 Diabetes Mellitus (T2DM) often rely on biochemical markers such as glycated hemoglobin, fasting glucose, or lipid profiles. While clinically informative, these indicators typically reflect established dysglycemia, limiting their value for early prevention. In contrast, psychosocial stress, sleep disturbance, tobacco use, and dietary quality represent modifiable, non-clinical factors that can be […]

Metaheuristic-based gallstone classification using rotational forest explained with SHAP

IntroductionCholelithiasis, commonly known as Gallstone disease, occurs when hardened deposits form in the gallbladder or bile ducts. It affects millions of people worldwide and is especially common in women. While many people may not experience any symptoms, symptomatic cases can present with acute cholecystitis and other complications such as pancreatitis and even gallbladder cancer. However, […]

Federated multimodal AI for precision-equitable diabetes care

Type 2 diabetes mellitus (T2DM) constitutes a rapidly expanding global epidemic whose societal burden is amplified by deep-rooted health inequities. Socio-economic disadvantage, minority ethnicity, low health literacy, and limited access to nutritious food or timely care disproportionately expose under-insured populations to earlier onset, poorer glycaemic control, and higher rates of cardiovascular, renal, and neurocognitive complications. […]

Audio Deepfake Detection in the Age of Advanced Text-to-Speech models

arXiv:2601.20510v1 Announce Type: cross Abstract: Recent advances in Text-to-Speech (TTS) systems have substantially increased the realism of synthetic speech, raising new challenges for audio deepfake detection. This work presents a comparative evaluation of three state-of-the-art TTS models–Dia2, Maya1, and MeloTTS–representing streaming, LLM-based, and non-autoregressive architectures. A corpus of 12,000 synthetic audio samples was generated using […]

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