Here are the latest breakthroughs in health & AI (January 05, 2026 week)

🔹 Characterizing immune cell profiles of patients with rheumatoid arthritis in Taiwan using artificial intelligence-based cytometric approaches.

AI identifies 16 immune cell subsets in rheumatoid arthritis with 100% sensitivity and specificity. Key findings on immune responses. 🧬🔬

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🔹 Large Language Model-Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review.

Exploring LLMs in Medical Education: 39 studies reveal strong performance but limited multimorbidity representation. 📊🤖

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🔹 Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma.

Machine learning enhances ultrasound accuracy in distinguishing sclerosing adenosis from invasive ductal carcinoma. 📊🔍

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🔹 The Application of Mobile Health in Self-Management Among Patients Undergoing Dialysis: Scoping Review.

Mobile health enhances dialysis self-management, focusing on diet, medication, and psychological support. 📱💉 Key findings from 34 studies.

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🔹 Improving Community-Based Care for Adolescents with ADHD: a Randomized Controlled Trial of Artificial Intelligence-Assisted Fidelity Supports.

AI in ADHD Care: Study shows efficiency gains but potential quality trade-offs in therapy delivery. 🤖📉

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🔹 Health Tech Suppliers Share Insights for 2026

Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻

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🔹 Bibliometric 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. 📱

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🔹 Predictions for Digital Health Innovations in 2026

Digital health innovations are expected to advance significantly by 2026, focusing on AI, data integration, and patient care improvements. 📈💻

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🔹 A 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. 📊🩺

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🔹 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. 📊💡

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🔹 Artificial 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. 📊🔬

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🔹 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. 📊❤️

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🔹 A 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! 💊🔬

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🔹 Blood 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. 🩸📊

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🔹 Top 10 Most Popular Opinion Pieces in Digital Health for 2025

Top 10 Opinion Pieces in Digital Health for 2025 🏥💻

Explore key themes from the NHS 10-year health plan and insights on digital transformation.

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🔹 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. 📉💓

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🔹 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. 📊💉

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🔹 Digital Cognitive Behavioral Therapy for Insomnia in Cancer Pain Patients: Protocol for a Prospective, Randomized Controlled Trial.

Digital CBT for Insomnia in Cancer Patients: A Randomized Trial to Enhance Sleep Quality and Quality of Life 💤📊

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🔹 Artificial Intelligence Applications to Aid Qualitative Research in Animal-Assisted Therapies With Farm Animals.

AI enhances qualitative research in animal-assisted therapies, but human insight remains crucial for accurate data interpretation. 🦆📊

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That’s a wrap for this week’s digest! Stay tuned for more health & AI updates. 🚀💡

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