In this riveting interview, we have Dr. Marc Lanovaz, a University of Montreal professor at the forefront of integrating data science and machine learning in behavioral healthcare. We discuss the impact of cultural relevancy in behavior analysis, how machine learning can improve clinical decision-making in mental health, and a groundbreaking virtual reality application simulating the world from an autistic perspective. The discussion also delves into the utilization of machine learning in tracking and predicting behavior changes and workplace stress. Moreover, Dr. Lanovaz underlines the significance of reinforcement in behavior therapy and its potential in data-driven applications that could revolutionize behavioral science and mental health care.
Advancing Behavioral Healthcare through VR & Machine Learning: A Conversation with Dr. Marc Lanovaz
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There’s no cure for autism – and there is no need to cure autism. While therapies can bolster skills needed to navigate successfully in the world, they are not magic wands, and it’s crucial for parents enrolling their child in therapies to understand that their child will not “outgrow” autism, nor can professionals “fix” autism.…
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Who We Are
Our emotional wellness influences every aspect of our lives. It also affects our families, friends, communities, and employers. Behavioral and mental health is connected to educational outcomes, productivity, crime and life expectancy. Building their own and each others’ emotional wellness is in everyone’s COMMON INTEREST. We believe that people should have say in the usage…
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