Precision medicine utilizes genomics, proteomics, clinical data, and lifestyle factors to customize treatments based on individual characteristics.
AI and machine learning play a crucial role in processing large datasets, finding patterns, predicting disease risk, and optimizing treatment plans.
AI is transforming diagnostics by enabling early and accurate cancer detection from medical images and recommending personalized treatment plans based on genetics.
Challenges in AI-driven healthcare include bias, privacy concerns, and the need for explainable AI techniques, despite the potential for longer, healthier lives through precision medicine.