One Patient, Two Worlds: Digital Twins for Everyday Prevention and Care.
Digital twins in healthcare: real-time patient replicas enhance early disease detection and personalized care. ππ€
January 22, 2026
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Discover the newest research about AI innovations in π« Cardiology.
Molecular mechanisms and therapeutic progress in atherosclerosis: bridging immune inflammation and precision medicine.
Molecular mechanisms in atherosclerosis reveal new therapies: immunomodulatory vaccines, RNA therapeutics, and AI integration. π©Ίππ
January 21, 2026
Bridging the gap in digital health: A framework for leveraging digital health technologies in cardiovascular diseases, hypertension, and diabetes-a narrative review.
Digital health technologies transform chronic disease management. Key pillars include AI, interoperability, and privacy solutions. ππ‘
January 2, 2026
Development of machine learning models to predict risk of hospitalisation and 90-day readmission among patients with cardiovascular risk factors using community health survey data.
Machine learning predicts hospitalizations and readmissions in cardiovascular patients with 93% accuracy. Key factors include heart disease and medication burden. πβ€οΈ
January 1, 2026
Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.
Cardiac rehab reduces mortality by 25% but remains underutilized. Digital models enhance access and personalization. ππ
December 31, 2025
TLR2, CCR1, IRF8, and CCL4 as biomarkers for atherosclerosis progression and therapy response: A multi-omics study.
New biomarkers TLR2, CCR1, IRF8, and CCL4 show promise for atherosclerosis diagnosis and treatment response. ππ
December 31, 2025
Uncovering bias and variability in how large language models attribute cardiovascular risk.
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ
December 28, 2025
Mayo Clinic Develops AI Algorithm for Enhanced Sleep Apnea Detection in Women
Mayo Clinic’s AI algorithm improves sleep apnea detection in women, using ECG results for faster diagnosis. π€β€οΈ
December 21, 2025
Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysis.
AI in ECG for Sudden Cardiac Death Prediction: Sensitivity 90%, Specificity 91% ππ
December 21, 2025
Innovative Heart Monitoring System Integrates 3D Printing and AI
New heart monitoring system combines 3D printing and AI for improved diagnostics. πβ€οΈ Enhanced comfort and reduced waste.
December 18, 2025