Accelerating Drug Discovery with AI – A Strategic Roadmap

The pharmaceutical industry faces mounting pressure to accelerate drug discovery while reducing costs and failure rates. Traditional
methods take 12-15 years and cost over $2.6 billion per drug, with a 90% failure rate in clinical trials. Artificial Intelligence (AI) is emerging as a game-changer, significantly improving target identification, lead discovery, clinical trial execution, and post-market surveillance.

Learn more in our latest Point Of View: Accelerating Drug Discovery with AI – A Strategic Roadmap

Author Details

Sapna Bhardwaj

Sapna is a seasoned life sciences consultant with over nine years of experience in R&D, Project and Quality Management, Data Analysis, and Computer System Validation (CSV). She has successfully led projects in safety and quality, driving continuous process improvements to enhance client performance. Passionate about innovation, she is eager to explore AI technologies and their responsible application in the life sciences industry.

Jayadhar Gundu

Jayadhar Gundu is an AI expert and builder at IC-LS with 9+ years of experience across life sciences and manufacturing. He specializes in delivering AI-driven solutions that transform supply chain and business operations. He has a proven track record in process optimization and end-to-end transformation, driving measurable efficiency gains and performance improvements. Known for bridging strategy and execution, he translates complex challenges into scalable, practical AI solutions. As a responsible AI practitioner, Jayadhar is committed to building ethical, trustworthy AI systems that create lasting value across the life sciences ecosystem.

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