The AI-driven Hospital of the Future

Scheduled for Thursday, September 5, 2024, at 12:00 a.m., is the seminar “The AI-driven Hospital of the Future”, held by Pierre Baldi, Distinguished Professor in the Department of Computer Science, School of Information and Computer Sciences Director, Institute for Genomics and Bioinformatics (University of California Irvine, USA). 

Discussants: Paola Tognini, Claudio Passino, Gastone Ciuti.

A Q&A with Sant'Anna students is planned at the conclusion.

Bio

Pierre Baldi grew up in Rome and  earned MS degrees in Mathematics and Psychology from the University of Paris, and a PhD in Mathematics from the California Institute of Technology. He is currently Distinguished Professor in the Department of Computer Science, Director of the Institute for Genomics and Bioinformatics, and Associate Director of the Center for Machine Learning and Intelligent Systems at the University of California Irvine. The long-term focus of his research is on understanding intelligence in brains and machines. He has made several contributions to the theory of AI and deep learning and developed and applied AI and deep learning methods for the natural sciences, to address problems in physics (e.g., exotic particle detection), chemistry (e.g., reaction prediction), and biomedicine (e.g., protein structure prediction, biomedical imaging analysis), circadian rhythms. He recently published his fifth book: Deep Learning in Science, Cambridge University Press (2021). His honors include the 1993 Lew Allen Award at JPL, the 2010 E. R. Caianiello Prize for research in machine learning, the 2023 Dennis Gabor Award, and election to Fellow of the AAAS, AAAI, IEEE, ACM, and ISCB. He has co-founded several startup companies.

Abstract

AI today can pass the Turing test and is in the process of transforming science, technology, society, humans, and beyond. Surprisingly modern AI is built out of two very simple and old ideas, rebranded as deep learning: neural networks and gradient descent learning.  The vent will describe several applications of AI to problems in biomedicine developed in laboratory, from the molecular level to the patient level using omic data, imaging data, clinical data, and beyond. Baldi will discuss the opportunities and challenges for developing, integrating, and deploying AI in the first AI-driven hospitals of the future and present two frameworks for addressing some of the most pressing societal issues related to AI research.