Revolutionary AI Drug Discovery Transforming Next-Level Health Solutions

Types of AI Technologies in Drug Discovery

AI technologies used in drug discovery are diverse and continuously evolving. Machine learning models are particularly prevalent, as they can predict the efficacy and safety of drug candidates by analyzing biological and chemical data. Deep learning, a subset of machine learning, is used to understand complex biological processes and simulate molecular interactions.

Natural Language Processing (NLP) is another AI technology that plays a crucial role in drug discovery. It helps researchers analyze scientific literature and patents to uncover valuable insights and emerging trends that can inform drug development strategies. Moreover, AI-driven platforms are being developed to design new drugs from scratch, using algorithms to generate novel molecular structures that meet specific therapeutic needs.