machine learning in drug discovery

Machine learning in drug discovery uses data-driven algorithms to analyze complex biological data and predict how different compounds might affect diseases. This approach accelerates the identification of potential new drugs by predicting their efficacy and safety, thus improving the efficiency of developing new medications and reducing the time and cost of traditional methods.