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 (Consultant) at IC-LS, bringing a unique blend of business acumen and technical expertise drawn from over 7 years of experience across diverse sectors. With a robust background in life sciences consulting and the manufacturing domain, he has delivered transformative solutions in supply chain management. His proficiency in process improvement has led to significant operational gains and enhanced performance for clients. As a responsible AI practitioner he is committed to ethical AI deployment, ensuring that AI technologies are used responsibly and effectively to benefit the life sciences industry.

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