Subject: AI Comp Drug Disc & Dev
Course Number: 206
Course Title: RWD/RWE Mining and Analysis
Units: 4
School: Pharmacy
Department: Bioengineering And Therapeutic Sciences

Course Description: This course offers a deep dive into the application of Artificial Intelligence (AI) and Real-World Data (RWD)/Real-World Evidence (RWE) in modern healthcare settings. The course combines theoretical learning with practical workshops, spanning advanced natural language processing, language models, to multi-modal approaches. Students will explore the complexities of RWE/RWD, including data sources, challenges, and their pivotal role across drug development and clinical care.
Prerequisites: None.
Restrictions: None.
Activities: Direct - Lecture, Direct - Workshop, Student - Lecture, Student - Workshop, Student - Project

Instructor of Record: J. Chun
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Summer
Course Grading Convention: Letter Grade
Graduate Division course: No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No