This session addresses the integration of AI and ML in the healthcare sector. Topics include predictive modeling for disease diagnosis, patient risk stratification, and AI-powered imaging diagnostics. Real-time examples such as AI-assisted pathology, drug discovery using ML, and wearable health monitors for personalized treatment will be discussed. The session will also highlight regulatory challenges, data privacy concerns (HIPAA/GDPR), and ethical considerations in clinical applications. Case studies from hospital systems and biotechnology startups will offer a practical view of AI's growing role in life sciences.