Artificial Intelligence in Drug Discovery: Current State and Future Path

Nature published a comprehensive review of artificial intelligence in drug discovery, examining what it is, the current state, and the path forward. The article discusses various AI approaches, including machine learning and deep learning, and their applications in target identification, drug design, and clinical trials. It highlights the potential of AI to accelerate the drug development process and reduce costs, while also acknowledging challenges such as data quality and regulatory hurdles. The review emphasizes the need for collaboration between AI experts and pharmaceutical researchers, and outlines future directions, including the integration of multi-omics data and the use of generative models for novel molecule design.