In our season six finale, we dive deeper into how artificial intelligence (AI) is shaping the future of drug discovery and scientific research. With remarkable scale and speed, AI models parse through complex datasets and confirm or generate hypotheses, which can help scientists accelerate R&D. In this episode, co-host Danielle Mandikian welcomes Aviv Regev, Head of gRED, and Jure Leskovec, Professor of Computer Science at Stanford University, to talk about foundation models and autonomous agents. Together, they explore the opportunities and challenges of applying AI in drug discovery, including balancing innovation with scientific rigor and the evolving role of scientists. They also discuss how AI is reshaping the future of research — from building more biologically meaningful models to advancing agent-based systems and lab automation.
Read the full text transcript at www.gene.com/stories/foundation-models-and-agents
All content for Two Scientists Walk Into a Bar is the property of Genentech and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In our season six finale, we dive deeper into how artificial intelligence (AI) is shaping the future of drug discovery and scientific research. With remarkable scale and speed, AI models parse through complex datasets and confirm or generate hypotheses, which can help scientists accelerate R&D. In this episode, co-host Danielle Mandikian welcomes Aviv Regev, Head of gRED, and Jure Leskovec, Professor of Computer Science at Stanford University, to talk about foundation models and autonomous agents. Together, they explore the opportunities and challenges of applying AI in drug discovery, including balancing innovation with scientific rigor and the evolving role of scientists. They also discuss how AI is reshaping the future of research — from building more biologically meaningful models to advancing agent-based systems and lab automation.
Read the full text transcript at www.gene.com/stories/foundation-models-and-agents
S5E06: Cancer Conversations: Early Detection and Potent Solutions
Two Scientists Walk Into a Bar
29 minutes 39 seconds
1 year ago
S5E06: Cancer Conversations: Early Detection and Potent Solutions
To defeat cancer, we need to understand it better. How does it grow? How do we detect it early? And most importantly, how do we treat it? In this episode, co-host Maria Wilson chats with oncology expert Louis Vermeulen, VP and Senior Fellow, Discovery Oncology, about what’s new and exciting in cancer research. Together, they explore the importance of early detection, explain concepts like the tumor microenvironment, discuss cancer treatment approaches, and dive into how tools like artificial intelligence are accelerating research in the oncology space.
Read the full text transcript at www.gene.com/stories/cancer-conversations-early-detection-and-potent-solutions
Two Scientists Walk Into a Bar
In our season six finale, we dive deeper into how artificial intelligence (AI) is shaping the future of drug discovery and scientific research. With remarkable scale and speed, AI models parse through complex datasets and confirm or generate hypotheses, which can help scientists accelerate R&D. In this episode, co-host Danielle Mandikian welcomes Aviv Regev, Head of gRED, and Jure Leskovec, Professor of Computer Science at Stanford University, to talk about foundation models and autonomous agents. Together, they explore the opportunities and challenges of applying AI in drug discovery, including balancing innovation with scientific rigor and the evolving role of scientists. They also discuss how AI is reshaping the future of research — from building more biologically meaningful models to advancing agent-based systems and lab automation.
Read the full text transcript at www.gene.com/stories/foundation-models-and-agents
