Life Sciences DNA Podcast

Navigating the Challenges of Integrating AI in Clinical Development

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.

Leveraging AI in Clinical Development

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.

Integrating AI into Precision Medicine

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.

Transforming Clinical Development with AI

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.

Generating Proteins Nature Never Imagined

Mike Nally, CEO of Generate Biomedicines, sits down with Amar Drawid to discuss the innovative use of generative AI in drug discovery, how the company’s platform integrates machine learning with biological engineering to create new therapeutic proteins, and the potential of generative AI to create more effective therapies for cancer and infectious diseases.

Why Data Strategy Must Be Tied to Business Outcomes

Kannan Raman of Amazon Web Service sits down with Amar Drawid to discuss the role of AI in transforming life sciences and the importance of data strategy being tied to business outcomes. They explore the challenges of data strategy, the importance of cultural shifts within organizations, and the monetization of data as a product.

Biopharma Companies Wrestle with an Outsized Demand for AI Talent

The increasing demand for AI talent in the life sciences industry is presenting a challenge for biopharma HR departments. Companies must compete for skilled workers not only against their competitors but also against tech firms that often offer more attractive compensation packages. Steve Swan, CEO of The Swan Group, sat down with Amar Drawid to discuss the current recruitment landscape for AI talent in the life sciences sector, the challenges companies are encountering, and why the mission of drug developers might give them a competitive advantage over tech companies in appealing to certain candidates.

Using AI and Synthetic Biology to Go Where Antibody Therapies Can’t

Monoclonal antibodies have been an important addition to the biomedical arsenal, but these therapies have limited ability to target a group of cell surface receptors known as GPCRs. Aikium is developing a new class of therapies known as SeqR proteins that offer an alternative to antibody-based drugs and can bind to intrinsically disordered regions of targeted GPCRs that were previously considered undruggable. Venkatesh Mysore, co-founder and CTO of Aikium, sits down with Amar Drawid to discuss how the company is using AI and synthetic biology to discover SeqR protein therapeutics to treat cancer, auto-immune diseases, and neuro-inflammatory disorders.