Spring 2027

Case Studies in Drug Development

Case Studies in Drug Development explores scientific, regulatory, and strategic considerations in modern drug development using case studies and real-world scenarios.

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Recorded instructors · Spring 2027 No instructors listed

Summary

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Lectures are small, with a median of 16 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

What you’ll be able to do

  • Articulate the current challenges across different drug development programs with a nuanced understanding of how drug modality, disease indication, and health care systems play a role.

  • Analyze historical failures and success stories in drug development and describe what went wrong and what worked well.

  • Assess the impact of emerging technologies such as artificial intelligence and advanced delivery technologies on modern drug development.

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

PHM SCI 751, 757, 762, or 763

PHMSCI 764

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Professors

Spring 2027

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Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Explores the scientific, regulatory, and strategic considerations involved in modern drug development through case studies and real-world scenarios. Emphasis will be placed on solving complex and interdisciplinary challenges across the entire development pipeline and incorporating emerging technologies such as artificial intelligence and advanced delivery technologies into the drug development process.

difficulty & workload

No workload feedback recorded.

Topics

  • Scientific, regulatory, and strategic considerations in modern drug development.
  • Complex and interdisciplinary challenges across the drug development pipeline.
  • Emerging technologies including artificial intelligence and advanced delivery technologies.

Skills

  • Articulating challenges across drug development programs considering modality, indication, and health care systems.
  • Analyzing historical failures and successes in drug development to identify causes of outcomes.
  • Assessing the impact of emerging technologies like AI and advanced delivery systems on drug development.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "659f7c29d24f43678e0ff96f9a69206d02e1deb9e7bdd63b68f15c65f75e523c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}