UCSF

AI, Big Data, & Health

Date
Monday, November 9, 2020 - 8:00 am to Friday, November 13, 2020 - 10:00 am
Event sponsor
QBI and the Scientific Department of the Embassy of France in the United States
Audience
students, staff, faculty, alumni, local science community
Location
Online

QBI and the Scientific Department of the Embassy of France in the United States present “AI, Big Data and Health,” a science fair that will take place virtually on November 9-10 and 12-13, 2020 from 8:00 - 10:00 a.m. This science fair aims to bring together different actors from industry, academia, and government from the United States and France to talk about Big Data and AI applications for health.

The application of artificial intelligence (AI) to health and health data management is one of the areas where the creation of start-ups and the emergence of new technological solutions is massively increasing, in the United States as in France, supported by renowned research institutions. The applications are multiple: aid in diagnosis, analysis of exams, in particular in imaging, contribution to the discovery of new therapeutic targets and molecules. This requires multidisciplinary approaches which involve strengthening the interfaces between experts with very different profiles: AI specialists, researchers in biology and health, doctors, regulators, businesses and patients. These increasingly concrete developments require a reflection in terms of ethics and regulation (legal responsibility, risks potential, influence of AI on the doctor, management of learning data, bias and discrimination). To address these different aspects, this event aims to bring together different experts through a virtual science fair open to the general public to discuss these topics within framework of a Franco-American cooperation.

Summary

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Monday, November 9, 2020

Join: Intelligent Imaging: The Evolution of AI in Biomedical Imaging

California

8:00 to 9:00 a.m. PT

France

5:00 to 6:00 p.m. CET

Webinar ID 971 4393 4823
Passcode 072813
  • Moderator/Speaker: Sharmila Majumdar - UCSF, Professor, Radiology; Vice Chair for Research, Department of Radiology and Biomedical Imaging

  • Elodie Brient-Litzler - Institut Pasteur, Head of Innovation Development, Technologies for Life Sciences and MedTech; AVATAR MEDICAL, Co-Founder

  • Dorin Comaniciu - Siemens Healthineers, SVP AI and Digital Innovation

  • Jayashree Kalpathy-Cramer - Harvard, Associate Professor of Radiology, Researcher

  • Christopher Hess - UCSF, Professor and Chair of Radiology and Biomedical Imaging

  • Abdul Hamid Halabi - Tempus Labs, GM and SVP of Data & AI

  • Stéphanie Allassonnière - University of Paris, Professor of Applied Mathematics and Statistics; Sonio, Co-Founder

  • Stanley Durrleman - Inria and Paris Brain Institute (ICM), Senior Research; Fellow of the Paris AI Research Institute PR[AI]RIE

  • Jean-Christophe Olivo-Marin - Institut Pasteur, Professor, Head of the Bioimage Analysis Unit

Tuesday, November 10, 2020

Join: There is a pattern! Identifying common biomolecular mechanisms to cancer, infection and neurodegeneration

California

9:00 to 10:00 a.m. PT

France

6:00 to 7:00 p.m. CET

  • Moderator: Jacqueline Fabius - QBI/UCSF, Chief Operating Officer of QBI

  • Nevan Krogan - QBI/UCSF, Professor, Director of Quantitative Biosciences Institute

  • Christophe D'Enfert - Institut Pasteur, Professor; Scientific Director; Head of the Fungal Biology and Pathogenicity Unit

  • Bruno Goud - Institut Curie, CNRS Research Director, Chair of the Institut de Convergences, Qlife

  • Shaeri Mukherjee - QBI/UCSF, Associate Professor, Dept Microbiology and Immunology

Thursday, November 12, 2020

Join: Who is the Patient: How do we make sense of the data we collect?

California

8:00 to 9:00 a.m. PT

France

5:00 to 6:00 p.m. CET

  • Moderator: Gina Nguyen - QBI/UCSF, Director of Communications & Events at QBI

  • Phillipe Nore - Adaptive Biotechnologies Corp., Vice President International Market Development

  • Cristina Lanata - UCSF, Assistant Professor, Medicine; Clinician

  • Marina Sirota - UCSF, Associate Professor at the Bakar Computational Health Sciences Institute

Join: Breaking walls to build bridges: how to collaborate with sensitive data? What infrastructures? What regulations? What money?

California

9:00 to 10:00 a.m. PT

France

6:00 to 7:00 p.m. CET

  • Moderator: Xavier Bressaud - Science and Technology Department of the French Embassy in the US, Attaché for Science and Technology

  • Mona G. Flores - NVIDIA, Global Head of Medical AI

  • Lynsey Chediak - World Economic Forum, Project Lead, Shaping the Future of Health Healthcare

  • Romain Pirracchio - UCSF, Professor, Anesthesia; Vice Chair Department of Anesthesia and Perioperative Medicine

  • Emmanuel Bacry - Health Data Hub, Chief Scientific Officer

  • Bishen Singh - US Dept of Health and Human Services, Director of Data Strategy and Innovation in the Office of the Chief Technology Officer

Friday, November 13, 2020

Join: IA & Pharma : protein folding and protein interactions, exploring all the possibilities

California

8:00 to 9:00 a.m. PT

France

5:00 to 6:00 p.m. CET

  • Moderator: Kaspar Mossman - QB3/UCSF, Director of Communications and Marketing

  • Julien Mamet - Adynxx, Inc., Founder

  • Brice Gaudillière - Stanford, Associate Professor

  • Jim Bosley - Novadiscovery, Sr. Vice President of Modeling

  • Kliment A Verba - QBI/UCSF, Fellow, Dept of Pharmaceutical Chemistry

  • Michelle Arkin - QBI/UCSF, Professor, Pharmaceutical Chemistry; Co-Director of the Small Molecule Discovery Center

Join: Immunotherapy and the rise of personalized medicine

California

9:00 to 10:00 a.m. PT

France

6:00 to 7:00 p.m. CET

  • Moderator/Speaker: Alan Ashworth - QBI/UCSF, Professor, Medicine; Senior Vice President for Cancer Services; President of Helen Diller Family Comprehensive Cancer Center

  • Sophie Vinay-Postel - Institut Gustave Roussy, Physician; Fellow

  • Alejandro Sweet-Cordero - UCSF, Director, Molecular Oncology Initiative, Professor of Pediatrics

  • Lawrence Fong - UCSF, Professor, Medicine