My team is developing artificial intelligence approaches and brain-computer interfaces that could enable more personalized and accurate mental health care.
More objective symptom measures can improve diagnosis and treatment for people with mental disorders.
My research attempts to address the need. In my lab, we develop AI approaches and brain-computer interfaces that could enable more personalized and accurate care.are a leading cause of disability worldwide, affecting tens of millions of people. Despite this, unfortunately, currently available treatments can fail a large proportion of patients—for example about 20-30% of people with major depression.
These are the questions that my lab is investigating as one possible way to improve treatment. But as you can imagine, it’s an extraordinary problem. While AI and machine learning are excellent for exploring large problems, the brain is one of the most complex systems there is. Also, obtaining data from the brain is challenging, leading to the need for AI methods that can address data scarcity..
We have been able to use a rigorous ML approach to predict how the brain will respond to different doses of DBS. While the response to a given treatment may differ from person to person, our work can model the response in each individual. This approach could thus make it possible to personalize treatment over time for better results.
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