Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.
Polyphenols modulate macrophage polarization, targeting key pathways for chronic inflammation and cancer therapy. 📊🧬
Computational biology for cell-free systems.
Exploring computational biology in cell-free systems: rapid biosensing, protein production, and machine learning integration. 🧬🔬
Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.
Fragment-based drug design revolutionizes drug discovery, enhancing speed and efficiency post-COVID. Key insights from recent research. 💊🔬
Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.
Exploring AI's role in radiology: synergy, risks, and responsible integration. 🤖📊 Key insights from Kocak & Cuocolo's review.
An Artificial Intelligence-Driven Platform for Practice Question Generation.
AI-generated USMLE practice questions show 87% accuracy, enhancing medical education access for underrepresented students. 📚🤖
Sonia Patel to Depart as NHS England Chief Technology Officer
Sonia Patel will leave her role as NHS England CTO in March to become interim government CTO for a year. 💼👩⚕️
Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.
Recent advances in reticular frameworks enhance food safety by detecting biogenic amines rapidly and cost-effectively. 🍽️🔬
Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.
Machine learning predicts pile displacements effectively! 📊 AdaBoost-BP model outperforms BP model in accuracy. Key factors: distance, angle, moisture. 🌍
NHS Wales App Enhances Patient Access to Waiting List Information
NHS Wales App now allows patients to track waiting list status and access health information. 📱💡
Prediction of renal cell carcinoma: Development and validation of machine learning model.
Machine learning predicts renal cell carcinoma with 95.5% AUC using 21 clinical variables. Early detection improves patient outcomes! 📊🔍