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: M. Wang
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Spring
Course Grading Convention: Letter Grade
Graduate Division course: No
Is this a web-based online 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