A forward looking overview of modern life science is provided, where artificial intelligence, genomics, and precision biotech are linked into 1 practical framework. Core ideas in genome sequencing, variant interpretation, multi omics integration, and biomarker discovery are explained in simple terms. Current approaches for disease prediction, targeted therapy design, and patient specific decision support are described, with attention given to data quality, bias control, privacy, and ethical use. Pathways from laboratory discovery to clinical translation are also outlined, so real world impact can be understood.