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
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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
Antibodies are proteins produced by our immune system that neutralize or help destroy abnormal cells and foreign agents, like bacteria and viruses. However, their utility extends beyond our bodies’ defense system. Antibodies can also be engineered in the lab to be used as therapies. Today, over 170 antibodies have been approved as medicines to treat a wide range of diseases including cancers, autoimmune diseases, infectious diseases and more. In this episode, co-host Maria Wilson chats with guests Yan Wu, VP and Senior Fellow, Antibody Engineering, and Paul Carter, Genentech Fellow, Antibody Engineering, to discuss all things antibodies! Learn about the history of therapeutic antibodies, how advances in antibody engineering are creating new classes of medicines, and the promising role of artificial intelligence in designing antibodies from scratch and optimizing their therapeutic activity.
Read the full text transcript at www.gene.com/stories/engineering-therapeutic-antibodies
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
