PHSC 5905 — Artificial Intelligence and Machine Learning in Drug Discovery: Concepts and Applications
4 semester hoursGraduateLectureusually offered: springtypical days: ThBostonTraditional
Provides hands-on opportunities to explore the intersection of artificial intelligence (AI) and drug discovery. Presents real-world drug discovery challenges supported by faculty mentorship, applying artificial intelligence and machine learning (ML) techniques to a drug discovery program. Includes industry experts discussing the latest advancements in the pharmaceutical sector, and their use of AI/ML tools to drive innovation. Investigates key AI tools and frameworks that facilitate rapid progress in the pharmaceutical sector. Develops practical skills in data analysis, model building, and algorithm selection to drive innovation in drug discovery.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2026 | 1 | 8 | 20 | 40% | 12.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 0% · Th 100% · F 0%
Common patterns: R (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Lei Xie (100% of students)
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (PHSC course descriptions) · All PHSC courses · Plan it at numap.app