Artificial intelligence and machine learning technologies have made significant inroads across medical diagnostics and therapeutic development. Notable achievements include the development of XGBoost and Graph Neural Network models for early disease detection such as precocious puberty and atrial fibrillation stroke risk stratification, respectively. Researchers at University of Pennsylvania utilized generative AI to design antimicrobial peptides effective against resistant bacteria matching FDA-approved drugs. Advances in explainable AI frameworks and multi-lead ECG analyses improve arrhythmia detection with enhanced interpretability. Meanwhile, deep reinforcement learning is optimizing sports strategies, and hybrid deep learning architectures outperform traditional methods in complex mammogram classification. AI-powered adaptive tutoring systems exemplify progress in educational technologies enhancing personalized learning.