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Khoa Ngo is a fourth-year Biophysics Ph.D. student at the University of California, Davis. He is working with Professors Igor Vorobyov and Colleen Clancy to create a multi-scale computational pipeline to predict the effects of drugs on the body, spanning from the molecular level to organ function. Zoom details

While all UCSF colleagues are always welcome to attend the Bakar Computational Health Sciences Institute-wide Lab Meetings each month, we would like to call attention to this special installment from our colleagues at UC Davis. This talk illustrates how AI and computational modeling are bringing us closer than ever to the promise of precision medicine. The work reflects a new direction we hope illustrates what our basic science investigators at UCSF have been seeking in a stepped-up research infrastructure at our campus.

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UCSF promotes the exchange of diverse ideas and perspectives, acknowledging that the views and opinions of our guest speakers on campus are their own and may not reflect the perspective of the University. We embrace free speech in the pursuit of greater understanding, consistent with our obligations as a public university under the First Amendment.

 

Copy of Harnessing AlphaFold2 to Predict Novel Drug Targets - BCHSI Wide Lab Meeting Special Edition