New AI model MFS-DLPSO-XGBoost achieves 94.1% accuracy in cardiovascular risk assessment, surpassing conventional methods. NIH funding and clinical pilots signal growing adoption amid regulatory debat...
New MFS-DLPSO-XGBoost AI model achieves 80% precision in cardiovascular risk assessment, endorsed by leading medical organizations as clinical trials show 41% reduction in missed diagnoses. A novel AI...
Emerging research and AI-driven tools are transforming gut health management, with new studies and startups challenging traditional approaches while raising ethical questions. Cutting-edge studies rev...
A breakthrough AI model accurately predicts lower-extremity amputation risks in diabetics using explainable machine learning, potentially reducing procedures by 85% through early interventions, per a ...
Recent studies and AI innovations demonstrate yoga’s efficacy in lowering blood pressure, supported by WHO guidelines and wearable-driven data. WHO’s 2023 endorsement and tech-driven yoga ...
New review shows nearly half of AI imaging research targets stroke lesion segmentation, but standardization and real-world validation lag behind breakthroughs like NIH’s StrokeImageNet and FDA&#...
Exploring how diet, supplements, and AI-driven nutrition apps help breast cancer patients manage endocrine therapy side effects and improve quality of life. Recent studies show personalized nutrition ...
Emerging research shows personalized dietary interventions can significantly reduce side effects and improve adherence to breast cancer endocrine therapy. New AI-driven nutrition strategies and microb...
Exploring how AI-driven dietary plans and continuous glucose monitoring are revolutionizing diabetes care with hyper-individualized approaches. Cutting-edge research demonstrates how technology-enable...
Exploring plant-based alternatives to synthetic histology dyes, their benefits, challenges, and how AI could standardize their use in medical diagnostics. As synthetic dyes face regulatory restriction...
