Monday, 5 November 2018
Smart Data Forum
Digitization in healthcare generates massive databases which have allowed the implementation of new AI-based solutions. This technological shift brings new scientific, economic and political opportunities and challenges in our healthcare systems. AI in health has thus become a top priority in European public policy as well as in the private sector. It represents a paradigm shift towards 6P-medicine (predictive, preventive, proof-based, patient-centric, personalized and precise) which will have an impact on well-being.
France and Germany have both acknowledged the importance of AI and are joining forces to make Europe a leader in this field. The cooperation between both countries in the health sector is already one of the most intense. Hence we would cordially like to invite you to our joint conference
“AI in Health: French-German perspectives”
on November 5th 2018, from 1pm to 7:30 pm.
This conference is co-organized between the Smart Data Forum and the Embassy of France, with the support of the French-German University, TU Berlin, Berlin French Tech Hub and the Berlin Science Week.
The conference will be opened by Federal Minister of Health Jens Spahn (CDU) in presence of the Ambassador of France, Anne-Marie Descôtes. It will explore aspects regarding public policy as well as medical, industrial, scientific and ethical stakes of the development of AI in the health sector and will showcase French & German start-ups.
The number of seats of the conference is limited. Registration has been closed.
» Your Master of Ceremonies for this event will be Dr. Jack Thoms (DFKI, Smart Data Forum). «
|13h00 – 14h00||Welcome and Reception Lunch|
|14h00 – 14h05||Welcome speech by Prof. Thomas Wiegand, Executive Director of Fraunhofer Heinrich Hertz Institute|
|14h05 – 14h10||Welcome speech by Anne-Marie Descôtes, the French Ambassador to Germany|
|14h10 – 14h20||Opening speech by Dr. Thomas Gebhart, Parliamentary State Secretary at the Federal Ministry of Health|
|14h20 – 15h00||Panel 1 – AI & Health: Improvement on Patient Care
moderator: Prof. Klemens Budde, Head of Clinical Transplant Program at Charité, Plattform Lernende Systeme
Martin Hirsch, CEO of APHP Hôpitaux de Paris
Dr. Gottfried Ludewig, Head of Directorate General „Digitalisation and Innovation“, Federal Ministry of Health
|15h00 – 15h20||Coffee and poster sessions|
|15h20 – 15h50||Panel 2 – From Prevention to Prediction: AI and the fight against Diabetics
moderator: Dr. Astrid Glaser, Managing director of the German Center for Diabetes Research (DZD)
Prof. Martin Hrabe De Angelis, Director of Institute for Experimental Genetics, Helmholtz Zentrum München, Professor for Experimental Genetics, Technische Universität München TUM Board member of the German Center for Diabetes Research (DZD)
Prof. Philippe Froguel, Professor of Genomic Medicine, Imperial College, London, Director of UMR CNRS 8199- Lille University
|15h50 – 16h20||Panel 3 – AI as a Diagnostic Tool: Industry Perspective
moderator: Clara Leonard, Strategy Manager at Doctolib
Johannes Schröder, CTO of Ada Health
Sebastian Sujka, CEO & Founder of xbird
Derek Russell-Kraft, Chief Legal Officer at Owkin
|16h20 – 16h50||Coffee and Poster sessions|
|16h50 – 17h10||Learning across space and time in spiking neural networks
Prof. Robert Gütig, Charite/Berlin Institute of Health
|17h10 – 17h40||Panel 4 – Artificial intelligence at the service of genome knowledge
moderator: Prof. Nikolaus Rajewsky, Scientific Director of the Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center
Prof. Genevieve Almouzni, Director of Curie Institute, Research Director at the CNRS
Prof. Tim Conrad, Head at Medical Bioinformatics Group at FU Berlin and Berlin Big Data Center
|17h40 – 17h55||Keynote “Ethical stakes of AI in healthcare”
Prof. Dr. Laurence Devillers, researcher at LIMSI-CNRS
|17h55 – 19h45||Reception and cocktail at Smart Data Forum|
Registration has been closed.
Press accreditation will still be possible at the venue!
This event was organized with the help of our partners: