AcademicLabs

ClinicalTrials.gov is used by everyone in pharma and biotech.

But when you combine it with AI mapping and disease burden data, you can quickly reveal underinvestigated high-burden diseases areas where trial activity lags behind real patient need.

In this 9-minute case study, pharma strategist Mark Tillotson demonstrates how to:

\- Apply smart filters to focus on the most relevant trials (company-run, ≤Phase III, exclude healthy volunteers)

\- Use AI to map thousands of trials to 172 disease codes in 1 minute instead of days

\- Export a clean Excel of 2,400+ trials with mapped disease codes for deeper analysis

\- Merge with IHME burden data to instantly see where gaps = opportunities

The workflow was done in AcademicLabs, which integrates ClinicalTrials.gov (and patents, publications, grants, news - all connected to 360° company, lab and researcher profiles) with advanced filters and built-in AI for science-grounded insights.

Try it yourself: New users get AI free on day 1 so you can apply a similar workflow across trials, patents, publications, and grants.

Featuring: Mark Tillotson (Therapeutic Area, Pipeline/Portfolio & Commercialization Strategy) and Arne Smolders (founder of AcademicLabs).
