Success stories of AI in drug discovery – where do things stand?

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Abstract

The use of Artificial intelligence (AI) in drug discovery and development (DDD) has gained more traction in the past few years. Many scientific reviews have already been made available in this area. Thus, in this review, the authors have focused on the success stories of AI-driven drug candidates and scientometric analysis of the literature in this field.The authors explore the literature to compile the success stories of AI-driven drug candidates that are currently being assessed in clinical trials or which have investigational new drug (IND) status. The authors also provide the reader with their expert perspectives for the future developments and their opinions on the field.The partnerships between AI companies and the pharma industry are booming. The early signs of the impact of AI in DDD is encouraging and the pharma industry is hoping for breakthroughs. AI can be a promising technology to unveil the greatest successes, but it has yet to be proven as AI is still at the embryonic stage.