OMB Individually Reported
Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI
Low riskExact public inventory row
Description
Identifying individuals at higher risk for adverse metabolic effects from antipsychotic medications through predictive modeling of genetic and environmental data.
Detailed example
Produce high-quality, contextually relevant, and coherent responses or content based on user input.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improves drug safety and reduces adverse health impacts in vulnerable populations.
Audit / financial statement impact
Does not meet any requiremnts for high Impact use case
Controls / human review
ATO: Yes; PIA: Not published
Data needed
No