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AI meets medicine: How academic–industry alliances are accelerating drug discovery
Artificial intelligence (AI) is no longer a futuristic vision in drug discovery. It’s rapidly transforming every stage of the process, from uncovering disease biology to designing new molecules and optimizing clinical trials. In this podcast from the Science/AAAS Custom Publishing Office and sponsored by AstraZeneca, Senior Editor Erika Berg interviews AstraZeneca’s Chief Data Scientist and Vice President Data Science & AI,
BioPharmaceuticals R&D, Jim Weatherall and Stanford University’s Professor of Bioengineering, Genetics, Medicine and Biomedical Data, Russ Altman, on how AI is revolutionizing the way we discover and deliver potentially life-saving therapies. With bespoke AI tools now embedded in research and development, scientists can generate novel insights to help accelerate therapeutic development.
But this revolution isn’t happening in a vacuum. Weatherall and Altman delve into why collaboration between academia and industry is essential
for accelerating innovation while maintaining scientific rigor, ethical
safeguards, and a human-centered approach. They discuss how trust,
transparency, and a shared mission are shaping a new collaborative model, one that can drive faster, smarter, and more equitable medical breakthroughs in the age of AI.
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By Science Custom PublishingArtificial intelligence (AI) is no longer a futuristic vision in drug discovery. It’s rapidly transforming every stage of the process, from uncovering disease biology to designing new molecules and optimizing clinical trials. In this podcast from the Science/AAAS Custom Publishing Office and sponsored by AstraZeneca, Senior Editor Erika Berg interviews AstraZeneca’s Chief Data Scientist and Vice President Data Science & AI,
BioPharmaceuticals R&D, Jim Weatherall and Stanford University’s Professor of Bioengineering, Genetics, Medicine and Biomedical Data, Russ Altman, on how AI is revolutionizing the way we discover and deliver potentially life-saving therapies. With bespoke AI tools now embedded in research and development, scientists can generate novel insights to help accelerate therapeutic development.
But this revolution isn’t happening in a vacuum. Weatherall and Altman delve into why collaboration between academia and industry is essential
for accelerating innovation while maintaining scientific rigor, ethical
safeguards, and a human-centered approach. They discuss how trust,
transparency, and a shared mission are shaping a new collaborative model, one that can drive faster, smarter, and more equitable medical breakthroughs in the age of AI.