From AI Labs to Clinics: A Review of 21st-Century Drug Candidates Powered by Artificial Intelligence
Mayur Bagane, Rajesh Jorgewad · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: This article explores the transformative impact of artificial intelligence (AI) on drug discovery. Traditional drug discovery, slow and serendipitous, struggled to meet urgent medical needs. Artificial intelligence (AI) emerges as a transformative force, harnessing vast scientific data to predict drug properties and efficacy with remarkable precision. From identifying novel targets to designing custom molecules, AI streamlines selection, reduces costs and opens doors to previously unexplored therapeutic avenues. Breakthrough candidates like Atacicept, GTX-007, and AB-928 showcase the power of AI in accelerating drug discovery, introducing innovative strategies, and paving the way for a future of precision medicine and improved patient outcomes. This review explores the multifaceted impact of AI on drug discovery, highlighting its potential to revolutionize how we combat disease.