This chapter explores the transformative role of artificial intelligence (AIArtificial Intelligence (AI)) in precision medicinePrecision medicine and drug discoveryDrug discovery, highlighting its potential to address inefficiencies in traditional medical and pharmaceutical practices. Precision medicinePrecision medicine leverages computational tools to tailor healthcare based on individual genetic, physiological, and lifestyle factors, moving away from the “one-size-fits-all” approach. Concurrently, AIArtificial Intelligence (AI) has revolutionized drug discoveryDrug discovery by integrating multi-omicsMulti-omics data, human phenomics, and chemical libraries to predict disease risks, stratify patient cohorts, identify biomarkers, and design novel therapeutic compounds. The chapter delves into foundational software frameworks, curated datasets, and practical implementations, such as patient stratificationPatient stratification, biomarker discoveryBiomarker discovery, molecular property prediction, and generative chemistryGenerative chemistry. It also discusses translational challengesTranslational challenges, including data security, algorithmic biasAlgorithmic bias, and the need for explainable AIExplainable AI (XAI) models. By bridging the gap between biological data and chemical intervention, AIArtificial Intelligence (AI) is paving the way for a personalized, predictive, and preventative healthcare paradigm. ​