Artificial intelligence and data science have fundamentally transformed molecular biology research by enabling scientists to extract meaningful patterns from massive genomic datasets, predict protein structures with unprecedented accuracy, and accelerate drug discovery timelines from years to months. These computational disciplines now serve as essential tools in modern laboratories, where researchers apply machine learning algorithms to interpret complex biological systems, automate experimental workflows, and identify therapeutic targets that would remain hidden in traditional analysis approaches.
The integration of AI-driven …