The process of drug discovery is traditionally time-consuming and costly. AI-driven approaches can streamline this process by identifying potential drug candidates and predicting their efficacy and safety profiles. Machine learning models can analyze existing research data to uncover new drug targets and optimize preclinical and clinical trial designs, accelerating the development of new cancer therapies.
