AI in Healthcare & Drug Discovery
Completed by Kamran Rafii
June 11, 2026
7 hours (approximately)
Kamran Rafii's account is verified. Coursera certifies their successful completion of AI in Healthcare & Drug Discovery
What you will learn
Accelerate Drug Discovery with AI: Use AI for target identification, molecule design, virtual screening, and early-stage research decisions.
Improve Clinical Research Workflows: Apply predictive models to support trial planning, patient selection, safety monitoring, and endpoint analysis.
Automate Research Tasks: Use AI to streamline data cleaning, literature review, research analysis, and high-throughput biomedical tasks.
Strengthen Evidence-Based Decisions: Interpret clinical and biomedical data more effectively to support faster, well-informed healthcare decisions.
Skills you will gain
- Category: Agentic Workflows
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Regulatory Compliance
- Category: Pharmacology
- Category: Large Language Modeling
- Category: Medical Science and Research
- Category: Generative AI
- Category: AI Workflows
- Category: Pre-Clinical Development
- Category: Health Informatics
- Category: Clinical Data Management
