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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Feel. Think. Reflect. Don’t “Seal” Your Fate
I took my daughters along the Southern California coastline over the weekend and had the good fortune of observing newborn seals and two mother seals in labor up close. In one beach alcove, around 50 seals swam, lounged about, and nursed their young comfortably in the safety of numbers and natural environmental barriers. Every year,…
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Critical Skill for Balance in Life
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Empathy Helps Relationships and Careers
Research shows that strong empathy in children equates to less bullying, aggressive behavior, and emotional disorders, and to better relationships, communication skills, classroom engagement, and success in school. Another study finds that teenagers’ ability to experience and express empathy changes and can continue to develop during this important yet often turbulent life stage. Parents can…
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