- Friday, November 20th 2020 at 16:00 - 17:00 UK (Other timezones)
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This is a joint talk between TCPW and Machine Learning in Clinical Neurosciences. It is jointly organized by the TCPW organizers in collaboration with Seyed Kia, Andre Marquand and Thomas Wolfers.
Physiology is the study of how living systems act at the molecular, cellular, and organ system levels. This scientific approach has proven its efficiency to address most of the medical disorders from both qualitative and quantitative standpoints. In psychiatry, however, the diagnosis, prognostic, evaluation, and choice of treatment depend as much on the “milieu social” as the “milieu interieur”. This presentation will argue that recent advances in social neuroscience, systems biology, and digital medicine finally provide all the conceptual and methodological tools to develop a “social physiology” for psychiatry. Moreover, it will illustrate how such a multiscale perspective on mental disorders combined with modern computational tools will enable treatments to be tailored to each patient based on their profiles, from genomes to smartphones.
Guillaume Dumas
IVADO Assistant Professor of Computational Psychiatry, Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Canada
FRQS J1 Researcher in Artificial intelligence and Digital Health & head of the Precision Psychiatry & Social Physiology laboratory, CHU Ste. Justine, Montreal, Canada