Identifying the Most Important Factors Associated with Multiple Sclerosis Using the Decision Tree Method.
Recent research highlights key factors linked to Multiple Sclerosis. 🧠 Female gender, stress, and vitamin D deficiency are significant. 🌟
China’s Virtual Hospital Project Set for Public Launch in 2025
China's virtual hospital project aims for a public launch in 2025, utilizing AI for healthcare simulations. 🏥🤖
Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases.
A structured clinical reasoning prompt improves LLM diagnostic accuracy in medical cases. 📊🩺 Enhanced organization leads to better outcomes.
DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer.
AI-driven DeepTransformer enhances osteoporosis drug discovery, reducing time and costs. Promising results from OPGraph analysis. 💊📉
Mayo Clinic Leverages Real-World Data for Precision Medicine
Mayo Clinic uses real-world data and AI to enhance patient care and clinical decisions. This approach aims to improve treatment outcomes. 🏥💡
Data-Driven Analysis and Prediction of Suicide Patterns Using Data Mining and Geographical Visualization in Shiraz City.
Recent research highlights suicide patterns in Shiraz, revealing critical demographic insights and high-risk areas for intervention. 📊🗺️
NHS Trust Introduces At-Home Testing Kits for Gestational Diabetes
NHS Trust offers at-home testing kits for gestational diabetes, improving access to care for expectant mothers. 🏥👶
The prognostic significance of sarcopenia in patients treated with definitive radiotherapy: A systematic review.
Sarcopenia impacts cancer treatment outcomes. Our review highlights its mixed prognostic significance in radiotherapy patients. 💪📉
Introducing Evo: A Generative AI Model for Genetic Code
Evo is a generative AI model that writes genetic code, aiding research in genomics and bioengineering. 🧬✨
Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging.
Deep learning enhances medical imaging accuracy, especially in Alzheimer’s diagnosis. Cloud computing optimizes model performance. 🧠💻