New technologies are making impacts in scientific research at the National Institute on Drug Abuse. Artificial intelligence and machine learning take center stage when it comes to drug and addiction data. NIDA Program Director for Big Data and Computational Science Susan Wright provides an outlook for tech on helping the agency better understand data and also how data is improving overall health care system operations to better treat patients. She also highlights a program that harnesses smart phones to deliver evidence-based addiction treatment interventions.
HealthCast
Season 4
Episode 1
21m listen
AI Boosts Data Ops in Drug Abuse Research
Share
Data is helping health clinicians improve drug addiction treatment.
Sponsored by:
-
Susan Wright Program Director for Big Data and Computational Science NIDA
Related Content
-
OPM Extends Tech Force Deadline as Program Tests New Federal Hiring Model
High demand prompted OPM to extend Tech Force applications to Feb. 2 as the agency pilots centralized, skills-based hiring.
5m read -
FDA Outlines AI Principles for Drug Development
New FDA guidance outlines 10 principles for using AI in drug research, development and manufacturing, developed with European regulators.
3m read -
Federal AI Enters a ‘Storming Phase’ Under the Genesis Mission
National labs are working to reduce complexity, connect compute and deploy assured autonomy to speed AI research and deployment.
3m read -
Agencies Turn to Industry to Scale AI, Develop Federal Workforce
Federal IT leaders say industry partnerships are critical to overcoming workforce and technical challenges in AI adoption.
3m read