machine learning in biotechnology

Machine learning in biotechnology involves using computer algorithms to analyze large amounts of biological data, such as DNA sequences or medical images. These algorithms learn patterns and insights from the data without being explicitly programmed for specific tasks. This helps researchers understand complex biological processes, identify potential drug targets, develop personalized treatments, and diagnose diseases more accurately. Essentially, machine learning acts as a powerful tool to accelerate discoveries and improve healthcare by enabling computers to interpret complex biological information efficiently and effectively.