QBI - Conference

Day 3: AI, Big Data, & Science

November

12

8:00 AM-10:00 AM

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 AM. 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 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 that 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.

November 12, 2020

8:00AM PT, 5:00PM CET - PANEL 3: "Who is the Patient: How do we make sense of the data we collect?”

Panel Description: From genes to the social context and life habits, modern technology allows us to gather an immense amount of data on each patient.

The panel will discuss:

  • how to use data to characterize relevant populations
  • how to make sense of all of the data collected on patients
  • how to balance precision and statistical significance.

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


9:00AM PT, 6:00PM CET - PANEL 4: "Breaking walls to build bridges: how to collaborate with sensitive data? What infrastructures? What regulations? What money?"

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

Panel Description: How can we collaborate with sensitive data? What are the infrastructures and regulations? The advent of the future of medicine and biomedical research requires cooperation between labs and nations and trust and support. How to build the policy framework that’ll allow it to bloom for everyone’s benefit?

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

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