Machine Learning in Biology leverages computational algorithms to analyze and interpret complex biological data, enabling advancements in understanding genetic codes, disease mechanisms, and therapeutic targets. It bridges the gap between vast biological datasets and actionable insights, revolutionizing research methodologies and healthcare solutions.