John Jumper, PhD, from Google's DeepMind talks about AlphaFold2

September 12, 2024
We’re thrilled to announce that John Jumper, PhD, will kick-off our 2024/2025 Seminar Series with his talk, "Extending AlphaFold to make predictions across the universe of biomolecular interactions". John is one of the key pioneers behind the development of Google’s DeepMind AlphaFold - an artificial intelligence model to predict protein structures from their amino acid sequence with high accuracy.
 
This in-person event promises to be an incredible opportunity to hear from one of the foremost innovators in AI and biology.
 
Seminar Series Event: Extending AlphaFold to make predictions across the universe of biomolecular interactions
Date and Time: 14:00 – 15.00, Thursday 10 October 2024
Location: The Council Room, 2nd floor, The King’s Building, Strand Campus
Registration: Limited to EPSRC DRIVE-Health students in the first instance. Please email drive-health-cdt@kcl.ac.uk to check availability.

Abstract: The high accuracy of AlphaFold 2 in predicting protein structures and protein-protein interactions raises the question of how to extend the success of AlphaFold to general biomolecular modeling, including protein-nucleic and protein-small molecule structure predictions as well as the effects of post-translational modification. In this talk, I will discuss our latest work on AlphaFold 3 to develop a single deep learning system that makes accurate predictions across these interaction types, as well as examine some of the remaining challenges in predicting the universe of biologically-relevant protein interactions.
  

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March 5, 2025
We’re pleased to announce that Charles Friedman from the University of Michigan Medical School , will deliver our March Seminar Series with his talk, "Why AI and Learning Health Systems Need Each Other " . Charles will begin by advancing the idea that, while both are extremely important: AI is a means and Learning Health Systems (LHS) are an end--and why it is most important to maintain that distinction. He will then introduce the socio-technical infrastructure required for high-functioning learning systems and argue that this infrastructure provides a framework, actually a schematic, for successfully implementing AI into healthcare. Charles Friedman is Professor of Learning Health Sciences at the University of Michigan Medical School, where he directs the Knowledge Systems Laboratory. He was formerly Founding Chair of the Department of Learning Health Sciences and the Josiah Macy Jr. Professor of Medical Education. He holds joint appointments in the Schools of information and Public Health. He is editor-in-chief of the open-access journal Learning Health Systems and co-chair of the multi-national movement to Mobilize Computable Biomedical Knowledge. Throughout his career, Friedman has developed and studied methods to improve health, education, and research through innovative applications of information technology. Most recently, Friedman has focused his academic interests and activities on the concept of Learning Health Systems that improve health by marrying discovery to implementation, and the socio-technical infrastructure required to sustain these systems. Friedman is a Distinguished Fellow of the American College of Medical Informatics, and a founding fellow of the International Academy of Health Sciences Informatics. He holds an honorary doctorate from the University of Lucerne in Switzerland for his contributions to the science of Learning Health Systems. Prior to coming to Michigan, Friedman held executive positions at the Office of the National Coordinator for Health IT (ONC) in the U.S. Department of Health and Human Services. Immediately prior to his work in the government, he was Associate Vice Chancellor for Biomedical Informatics, and Founding Director of the Center for Biomedical Informatics at the University of Pittsburgh. Seminar Series Event: "Why AI and Learning Health Systems Need Each Other" Date and Time: Wednesday 26 March 2025, 10:00 – 11.00 hrs (BST) Location: The Anatomy Museum, King's Building, Room K6.36, Strand Campus, Strand, London, WC2R 2LS Attendance: Mandatory for all DRIVE-Health students, therefore please accept the calendar invitation. Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend.
January 31, 2025
It was a pleasure to welcome C hris Tomlinson from LifeArc , who delivered our February Seminar Series with his talk, "Translational Clinical Data Science: from patient data to patient impact " . Chris gave an overview of LifeArc, a self-funded translational research charity, seeking to deliver patient benefit and address unmet needs. As UK Health Data & AI lead, he focuses on how they harness data science and AI to fulfil their aim: to ‘make life sciences, life changing’. Chris is a clinician by background, specialising in Anaesthesia & Intensive Care, before transitioning to full-time research. His work leverages electronic health records, epidemiology and artificial intelligence at scale to advance our understanding of health and disease, and address the fundamental challenges of precision medicine. His research has been featured in top medical journals and informed both policy and clinical practice internationally. Seminar Series Event: "Translational Clinical Data Science: from patient data to patient impact" Date and Time: Thursday 27 February 2025, 15:00 – 16.00 hrs (BST) Location: Hodgkin Building, Classroom 6, Guy's Campus Attendance: Mandatory for all DRIVE-Health students Registration: Students, alumni and wider King's College London research community, please email drive-health-cdt@kcl.ac.uk to register.
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