Session: AI Prediction of Clinical Outcome in Psilocybin Therapy
Psychedelic therapy is a promising avenue for mental health treatment, but its potential has only recently begun to be understood through rigorous research.
Join this session to explore how AI and machine learning can be integrated into mental health therapy to predict patient outcomes, enabling a more personalized, predictive, and preventative care model.
Discover how a machine learning algorithm, utilizing NLP, voice features, and survey data, can accurately predict long-term patient responses, providing rapid prognostication of personalized response to treatment and offering insights into the therapeutic model.
- mental health
- machine learning
- data science
- well being
I am a first-gen immigrant and a first-gen student.
I worked hard to earn a bachelor's degree to help break my family's generational cycle.
I came to the USA for a two-month internship and stayed for ten years. If you give me an opportunity, I will never say no, no matter how scared or unqualified I might feel, and that's my superpower.
I have always been an inquisitive person.
During my last ten years, I focused on different particle physics questions, like looking for the existence of new particles coming from outer space or being produced in an accelerator machine.
As a data scientist, I am excited to use my skills to analyze different kinds of data more directly related to people and the advancement of our society.