Discover the newest research about AI innovations in 🦠 Epidemiology.
Machine learning predicts mortality in pediatric aplastic anemia with 83.4% AUC. Key predictors include reticulocyte count and platelet count. 📊👶
Polyphenols modulate macrophage polarization, targeting key pathways for chronic inflammation and cancer therapy. 📊🧬
Machine learning predicts survival in small cell lung cancer with brain metastases. RSF model shows AUCs up to 0.809! 📊🧠
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
New biosensor technology may enable lung cancer detection through breath analysis. Early diagnosis could improve patient outcomes. 🌬️🩺
AI accelerates monoclonal antibody design, aiding in the fight against viral infections like RSV and avian influenza. 🦠💉
Innovative hepatitis B model combines neural networks and real data, revealing key dynamics of virus transmission. 📊🦠
Innovative biosensor achieves 99% accuracy in early HCC detection, surpassing GALAD’s 83%. Promising for liquid biopsy advancements! 🔬📈
Exploring Interrupted Time Series Analysis in Environmental Epidemiology: Key Insights from Recent Research 📊🌍
Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need for equitable care. 🌍💔
