Machine learning in biology

Machine learning in biology involves using computer algorithms to analyze large sets of biological data, such as genetic information or cellular images. These algorithms identify patterns and relationships within the data, enabling predictions or discoveries that might be challenging for humans alone. For example, machine learning can aid in diagnosing diseases by recognizing genetic mutations or predicting how a disease will progress. It acts as a powerful tool to enhance our understanding of complex biological systems, leading to advances in medicine, research, and biotechnology through data-driven insights.