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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The ‘X Years from Now’ Exercise
[there should be a web form for this]
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Junk Food for Your Soul
My daughter painted this the summer she finished fourth grade. While she is a very gifted artist, she didn’t paint this on her own–she had way too much help with this piece at a department store art studio in Taiwan where art teachers help children replicate masterpieces. Our social media post this week talked about…
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