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. 🧠💻
Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.
AI tools may enhance paediatric fracture detection accuracy. A recent study protocol explores this potential impact on patient care. 🩺📊
MHRA Initiates Pilot for AI-Driven Medical Devices
MHRA launches AI Airlock pilot for regulating AI medical devices. Five technologies selected to enhance healthcare efficiency. 🤖🏥