Innovations in Drug Development

Description from DukeHub

Introduction to major issues in developing a drug to treat a disease in an interdisciplinary lecture-based and team-based learning environment. Translation of principles in biomedical sciences, biomedical engineering, and chemistry along with innovative approaches to develop a hypothetical drug for treating a disease of choice. Hypothetical development of model compounds, target analysis, and in vitro and in vivo models to test drug efficacy. Course requires one of the following (or equivalent): Pharmacology and Cancer Biology 533, Chemistry 518, or Biomedical Engineering 577.

Skills

• lab workAI review: "in vitro and in vivo models to test drug efficacy"

AI-resilient: 1 of 5 1/5

• No: Physical, lab or field work
• ✓Yes: Live work with people · "team"
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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