← Videos

USDM video

AI Use Cases in Life Sciences: 47 Use Cases for Quality, Regulatory, Clinical, and Manufacturing Teams

Watch a short overview of practical AI use cases across quality, regulatory, clinical, and manufacturing teams in life sciences.

0:55 May 15, 2026

Best next step

Watch the short overview, then use the links below to keep moving: explore the related capability, browse more resources, or start a conversation with USDM.

Talk with USDM

Trouble with the embedded player? Open the Wistia-hosted video

Overview

This video introduces a practical set of AI use cases for life sciences teams and helps leaders think about where AI can support regulated operations while preserving governance, traceability, and human oversight.

What to take from it

1

See how AI opportunities can be organized across quality, regulatory, clinical, and manufacturing functions instead of treated as isolated experiments.

2

Learn why prioritizing use cases requires more than business value; regulated teams also need the right data, controls, validation approach, and human review model.

3

Use the overview to identify candidate AI opportunities that can improve consistency, reduce manual friction, and support governed adoption across the enterprise.