0-⌚ Wearables🧠 Digital Therapeutics🤖 Machine Learning📱 Mobile HealthBibliometric analysis of trends, innovations, and the future of CBT-based mobile interventions for depression.📈 CBT Mobile Interventions: 350 studies, 72 trials, AI integration, and global trends in depression treatment. 📱 January 2, 2026Read more
0-⚖️ AI Ethics💼 Health Entrepreneurship🤖 Machine Learning📰 News🩺 Preventive Medicine🌐 TelehealthPredictions for Digital Health Innovations in 2026Digital health innovations are expected to advance significantly by 2026, focusing on AI, data integration, and patient care improvements. 📈💻 January 2, 2026Read more
0-🩸 Hematology🤖 Machine Learning🧪 PathologyA full-automated tumor budding annotation approach in hematoxylin and eosin-stained whole slide images of colorectal cancer.Automated tumor budding annotation in colorectal cancer shows AUCs up to 0.988 and average grading time of 21 seconds. 📊🩺 January 2, 2026Read more
0-⚖️ AI Ethics🫀 Cardiology🧠 Digital Therapeutics🎮 Gamification🤖 Machine Learning🌍 Public HealthBridging 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. 📊💡 January 2, 2026Read more
0-⚖️ AI Ethics🤖 Machine Learning🌍 Public HealthArtificial Intelligence-Integrated Biosensors for Antimicrobial Resistance Detection and Surveillance: A Review and Future Perspectives for Global Biosecurity.AI biosensors revolutionize AMR detection, enhancing global health surveillance with real-time insights and predictive analytics. 📊🔬 January 1, 2026Read more
0-🫀 Cardiology🤖 Machine Learning🌍 Public HealthDevelopment 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. 📊❤️ January 1, 2026Read more
0-🧪 Drug Discovery🤖 Machine LearningA Multimodal Drug-Target Affinity Prediction Framework with Pretrained Models and Hierarchical Graph Transformer.Revolutionary DTA Prediction: PMHGT-DTA Framework Enhances Drug Discovery with 3D Graphs and Cross-Attention! 💊🔬 January 1, 2026Read more
0-🩸 Hematology🤖 Machine LearningBlood gas analysis: Clinical applications, interpretation and future directions (Review).Blood gas analysis: Key metrics, AI advancements, and venous sampling insights. Critical for respiratory and metabolic assessment. 🩸📊 December 31, 2025Read more