Atropos Health Partners with Ontada to Enhance Oncology Data Utilization
April 30, 2025Atropos Health partners with Ontada to enhance oncology data use, improving patient care and treatment protocols. 📊💉
Evaluating Large Language Models on Aerospace Medicine Principles.
April 30, 2025Evaluating LLMs in Aerospace Medicine: ChatGPT-4 scored 70% accuracy, RAG LLM 85%. Potential risks identified. 🚀📊
Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.
April 29, 2025AI-driven MSI profiling in lung cancer shows 0.52% prevalence, high TMB, and potential for personalized immunotherapy. 📊🔬
National Support Needed for AI Initiatives in Healthcare
April 29, 2025National support is essential for scaling AI in healthcare. The NHS AI Lab's evaluation highlights progress and ongoing challenges. 🤖🏥
Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.
April 29, 2025Machine learning predicts Newcastle Disease Virus antigenic distance with 72.3% accuracy, enhancing vaccine selection efficiency. 🤖💉
New AI Tool Assesses Treatment Efficacy for Multiple Sclerosis
April 29, 2025New AI tool, MindGlide, assesses treatment effectiveness for multiple sclerosis using MRI scans. Promising advancements in patient care. 🧠💡
Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study.
April 29, 2025Revolutionizing Vital Sign Monitoring: Comestai App's Non-contact Methodology 📱💓
Surrey and Sussex Healthcare NHS Trust Implements Sectra Imaging Solution
April 28, 2025Surrey and Sussex Healthcare NHS Trust adopts Sectra imaging solution, enhancing radiology collaboration and patient care across six NHS trusts. 🏥📊
Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement.
April 28, 2025South Korea's guidelines for large language models in healthcare: critical insights and improvement areas. 📊🩺