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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Launching MyCuraJOY: Behind the Scenes
My daughter just came back from a summer at UC Berkeley. It was the first time that she stayed in a more metropolitan area where she wasn’t as sheltered. She asked me to buy her pepper spray. In fact, she carried one in each hand whenever she went out. A homeless person came up to…
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curaJOY Leverages UserTesting To Improve Behavioral Healthcare Access
We often think about our physical well-being when we hear the term “wellness”. But emotional wellness is the foundation for a thriving life – a life that considers how well we go through challenges, rather than just assessing whether our bodies ache or if our knees don’t creak when we bend. curaJOY is committed to improving your…
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