A groundbreaking AI model, MADRIGAL, developed by Harvard Medical School & AstraZeneca, is transforming drug interaction predictions. By integrating multimodal data—structural, genomic, and clinical—it significantly enhances accuracy, improving drug safety and personalized treatments. Its transformer bottleneck module effectively handles missing data, enabling real-time insights. With large language model integration, clinicians can engage in natural-language discussions, making AI-driven healthcare more accessible and reliable.