How is Machine Learning Transforming Drug Discovery?

The traditional drug discovery process is time-consuming and expensive. Machine learning offers a more efficient approach by predicting how different compounds will interact with biological targets. By doing so, it can significantly reduce the time and cost involved in bringing new drugs to market. ML models analyze existing chemical libraries and biological data to suggest new compounds, thereby accelerating the drug development pipeline.