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Explore a groundbreaking webinar that introduces inter-personalized computational psychiatry as a revolutionary approach to understanding mental health. Learn how traditional statistical methods and neuropsychiatric approaches focused on isolated individuals fall short when addressing the multidimensional challenges of mental health, which involve rapid brain changes and essential interpersonal relationships. Discover how the combination of artificial intelligence and multi-brain neuroscience creates innovative pathways toward holistic understanding that encompasses neurobiological, behavioral, and social scales. Examine how advanced technologies facilitate analysis of dynamics and interactions between genes, neurons, and individuals, moving beyond individual-focused medicine. Understand how mathematical tools and models combined with an ecosocial approach promise to revolutionize the detection and treatment of psychiatric disorders. Gain insights from Guillaume Dumas, Associate Professor of Computational Psychiatry at Université de Montréal and Principal Investigator of the Precision Psychiatry and Social Physiology laboratory, who holds the IVADO professorship for "AI in Mental Health" and serves as a CIFAR Azrieli Global Scholar in the "Brain, Mind, and Consciousness" program. Access PACE credits through Labroots registration and completion requirements.
