What AI scientists think doctors want and what is expected to be delivered: solving the conundrum at the heart of AI and Medicine
Speaker

Pietro Lio
University of Cambridge

Time
2022-07-05 13:00 ~ 15:00
Venue
Online
ZOOM
  • Zoom Meeting ID: 826-7530-1781
  • Password: 123456
    • Tencent
  • https://meeting.tencent.com/dm/TyNEBhxoGNJV
  • Conference ID: 205-826-133
  • Password: 996304
    • Abstract
    In this talk I will focus on how to build a digital patient twin using graph representation and considering physiological (cardiovascular), clinical (inflammation) and molecular variables (multi omics and genetics). I will consider different pathologies such as inflammating and immuno senescence through the use of neural graph ODEs. I will discuss how this approach could also keep the clinician in the loop to avoid excessive automatisation using logic and explainer frameworks.
    Bio
    Pietro Lio is a Full Professor of Computational Biology in the AI group at the Dept. of Computer Science and Technology and in the Center for AI in Medicine of the University of Cambridge. He is a member of the Academia Europaea. He has an affiliation with CNR (Pisa, Milano). He is a member of ELLIS, the European Lab for Learning & Intelligent Systems, a Fellow and member of the Council of Clare Hall College. Pietro held a PhD in Complex Systems and Non Linear Dynamics (University of Firenze, Italy) and a PhD in Genomic science (University of Pavia, Italy). His research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling. He has co-developed the Graph Attention Network (GAT).