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Weekly Health & AI Digest – January 05, 2026

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...

January 5, 2026

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

⚖️ AI Ethics 💉 Allergy & Immunology 🧠 Digital Therapeutics

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. 🧬🔬

January 4, 2026

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

🧠 LLM's 🤖 Machine Learning 🧠 Mental Health

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. 📊🤖

January 4, 2026

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

💼 Digital Health Entrepreneurship 🤖 Machine Learning

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. 📊🔍

January 3, 2026

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

🤖 Internet of Things (IoT)📱 Mobile Health 🩺 Preventive Medicine 🌐 Telehealth

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.

January 3, 2026

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

💼 Health Entrepreneurship 🤖 Machine Learning 🧠 Mental Health

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. 🤖📉

January 3, 2026

Health Tech Suppliers Share Insights for 2026

⚖️ AI Ethics 🧠 Brain-Computer Interfaces 🖼️ Computer Vision 🦷 Dentistry 💼 Digital Health Entrepreneurship 🧠 Digital Therapeutics 👵 Elderly Care 🩹 Emergency 🩺 Endocrinology 🦠 Epidemiology 🏋️ Fitness & Sports 🏥 General Practice 🏥 General Surgery 🧬 Genetics 💵 Health Economics 💼 Health Entrepreneurship 🩸 Hematology 🏥 Hospital Management 🤖 Internet of Things (IoT)🧪 Lab Medicine 🤖 Machine Learning 🧠 Mental Health 🦠 Microbiology 📱 Mobile Health 🧠 Neuroscience 📰 News 🥗 Nutrition 🦴 Orthopedics 🛌 Palliative Care 👶 Pediatrics 💊 Pharmacy 🩺 Preventive Medicine 🧠 Psychiatry 🌍 Public Health 🧬 Rare Diseases 🗣️ Speech Recognition 🗣️ Speech-Language 🌐 Telehealth 💉 Vaccination 🏢 Work Health 🧑‍🏫 Health Education 🧑‍🦽 Rehabilitation

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. 🏥💻

January 2, 2026

Bibliometric analysis of trends, innovations, and the future of CBT-based mobile interventions for depression.

⌚ Wearables 🧠 Digital Therapeutics 🤖 Machine Learning 📱 Mobile Health

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. 📱

January 2, 2026

Predictions for Digital Health Innovations in 2026

⚖️ AI Ethics 💼 Health Entrepreneurship 🤖 Machine Learning 📰 News 🩺 Preventive Medicine 🌐 Telehealth

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. 📈💻

January 2, 2026

A full-automated tumor budding annotation approach in hematoxylin and eosin-stained whole slide images of colorectal cancer.

🩸 Hematology 🤖 Machine Learning 🧪 Pathology

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. 📊🩺

January 2, 2026

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Weekly Health & AI Digest – January 05, 2026

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

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

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

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

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

Health Tech Suppliers Share Insights for 2026

Bibliometric analysis of trends, innovations, and the future of CBT-based mobile interventions for depression.

Predictions for Digital Health Innovations in 2026

A full-automated tumor budding annotation approach in hematoxylin and eosin-stained whole slide images of colorectal cancer.

Computational biology for cell-free systems.

Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.

Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.

An Artificial Intelligence-Driven Platform for Practice Question Generation.

Sonia Patel to Depart as NHS England Chief Technology Officer

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.

NHS Wales App Enhances Patient Access to Waiting List Information

Prediction of renal cell carcinoma: Development and validation of machine learning model.

Weekly Health & AI Digest – January 26, 2026