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The Life Sciences D’n’A podcast is hosted by AI and data analytics experts and pharma industry veterans Nagaraja Srivatsan and Amar Drawid. They explore the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.
Episodes

Thursday May 29, 2025
Improving Clinical Trial Designs with AI
Thursday May 29, 2025
Thursday May 29, 2025
Scott Chetham, co-founder and CEO of Faro Health, sits down with Amar Drawid to discuss how AI transforms clinical trial design and drug development. He talks about how AI can enhance patient selection, feasibility assessments, and protocol writing to accelerate drug development cost-effectively.

Thursday May 15, 2025
Improving the Efficiency of the Pharma Workforce with AI
Thursday May 15, 2025
Thursday May 15, 2025
Kannan Natarajan, senior vice president at Pfizer, discusses the potential of generative AI to streamline pharmaceutical documentation processes and improve efficiency, what he’s learned about implementing AI solutions, and the cultural challenges of adopting new technologies.

Thursday Apr 24, 2025
Navigating AI Implementation in Pharma
Thursday Apr 24, 2025
Thursday Apr 24, 2025
Vinod Das, Pharma R&D, Drug Innovation & AI Scouting for Bayer; sits down with Nagaraja Srivatsan to discuss the integration of generative AI in drug discovery and clinical development. He discusses the journey of AI adoption, the importance of prompt engineering, and the complexities of implementation.

Thursday Apr 10, 2025
Transforming Cancer Care in India with AI
Thursday Apr 10, 2025
Thursday Apr 10, 2025
Vijayalakshmi Ramshankar, professor and head of the Department of Cancer Biology and Molecular Diagnostics at Cancer Institute (WIA) sits down with Nagaraja Srivatsan to discuss the cancer research landscape in India, the work she is doing to leverage AI to improve diagnosis and outcomes, and the future of AI in oncology

Thursday Mar 27, 2025
Navigating the Challenges of Integrating AI in Clinical Development
Thursday Mar 27, 2025
Thursday Mar 27, 2025
Manoranjan Das, director of global drug development IT for Bristol Myers Squibb, sits down with Nagaraja Srivatsan to discuss his work to implement AI in clinical development, the importance of change management, and the lessons learned from various AI projects he’s led.

Thursday Mar 13, 2025
Leveraging AI in Clinical Development
Thursday Mar 13, 2025
Thursday Mar 13, 2025
Aman Thukral, director of Clinical Systems And Digital Operations at AbbVie, sits down with Nagaraja Srivatsan to discuss the evolving landscape of clinical trials with the integration of AI, why change management is essential for successful implementation, and the need for a long-term investment approach in AI initiatives.

Thursday Feb 27, 2025
Integrating AI into Precision Medicine
Thursday Feb 27, 2025
Thursday Feb 27, 2025
Tobias Guennel, senior vice president of product innovation and co-founder of QuartzBio, joins Nagaraja Srivatsan to discuss his insights on leveraging AI and advanced analytics to improve clinical trial efficiency, the integration of AI in precision medicine, and the use of AI agents to automate clinical trial operations.

Thursday Feb 13, 2025
Transforming Clinical Development with AI
Thursday Feb 13, 2025
Thursday Feb 13, 2025
Bhaskar Sambasivan, CEO of Saama, sits down with Nagaraja Srivatsan to discuss the transformative role of AI in clinical development, why AI adoption will be a CEO mandate, and why the future of AI in drug development will be about autonomous decision-making.

Dr. Amar Drawid
Dr. Amar Drawid is the host of Life Science D’n’A podcast and currently serves as chief AI and business consulting officer for Agilisium Consulting. For nearly 25 years, he has worked in bioinformatics, data analytics, and AI within the life sciences industry with such companies as Sanofi, Celgene, and Novartis. He holds an M.S. and B.S. in bioinformatics, computer science, and molecular biophysics and biochemistry from Yale University and a Ph.D. in computational biology and molecular biophysics (artificial intelligence/machine learning) from Rutgers University