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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curaJOY helps adapt behavioral healthcare to different cultures
“The real danger is not that computers will become like humans, but that humans will be treated like computers.” – Sydney Harris OR another one-liner I’d like to state – “The real challenge with AI isn’t making it intelligent, but making it understand people the way we understand each other.” – Geoffrey Hinton (paraphrased) At…
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To kick off the summer, I took my daughters to explore sprawling underground caves and dive into cenotes on Mexico’s Yucatán Peninsula. The wildlife and natural beauty were surreal—hypnotic limestone caverns connected by clear underground rivers that Batman would envy—the eerie stillness of magnificence formed from meteorites when dinosaurs still walked the earth. But even…
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