
Forecasting Achievement of Inactive Disease in Juvenile Idiopathic Arthritis with Artificial Intelligence.
AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! π€π
Discover the newest research about AI innovations in π€ Machine Learning.

AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! π€π

Immunomodulatory therapy for non-infectious uveitis: addressing gaps, optimizing strategies, and future AI advancements. π§ ποΈ

Unified Patient Records in the NHS: A pressing need for better care and efficiency. π₯π

Revolutionizing oncology education with AI, gamification, and digital media enhances learning experiences and professional growth. ππ»

Deep learning model differentiates nasopharyngeal carcinoma from lymphoma using MRI: AUC 0.93 for T1WI+T2WI. ππ§

Optimizing arrhythmia detection: 94.82% accuracy with 4 beats using 1-D CNNs in real-world ECG studies. πβ€οΈ

Real-time satellite air pollution alerts using SoC technology: 5.5 min latency, 0.78-0.81 accuracy for PM2.5, PM10, O3. ππ

Wearable medical devices enhance surgical precision with AI, improving outcomes. Key challenges include data privacy and interoperability. π€π

Exploring the gut virome’s role in health: diversity, phage therapies, and precision medicine advancements. π¦ π

AI identifies FJMU1887, a Gal-3 inhibitor, enhancing cognition and reducing neuroinflammation in Alzheimer’s models. π§ π