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
Small molecules, antibodies, gene therapies – there are so many types of medicines scientists can consider when developing a new treatment for a disease. In this episode, Karin Briner, Senior Vice President and Head of Drug Discovery, joins co-host Maria Wilson to break down different therapeutic modalities, or types of treatments. Together, they cover a wide range of modalities in our drug development toolbox – including RNA-based therapies, large molecules, cell therapies, and newer small molecule approaches like protein degraders – highlighting the challenges and opportunities presented by each while also providing a look ahead to innovations that could lead to more effective treatments for a range of diseases.
Read the full text transcript at www.gene.com/stories/a-deep-dive-into-drug-modalities
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
