College of Pharmacy

Medical AI Research (MAIR) Lab

Led by Masoud Rouhizadeh · Pharmaceutical Outcomes and Policy

Auto-generated from UF undergraduate research symposium abstracts

What we study

The MAIR Lab builds large language model tools that read clinical notes and turn them into usable data for risk prediction and decision support. Areas include behavioral health, substance use and aging safety. It stresses auditable, privacy-preserving methods.

Health & MedicineAI & Machine Learning

What working here is like

  • Computational
  • No organisms (data only)
  • Coding required
Projects
3

Current projects

Screen-and-Reason framework

A high-recall screening step paired with an auditable reasoning step for clinical text.

Clinical note pipelines

HIPAA-compliant NLP pipelines processing clinical notes at UF Health.

Show 1 more projects

1Florida ADRC

Segment PI on aging safety and early detection work.

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

How to reach out

Masoud Rouhizadeh hasn't set up this page yet. You can also look them up in the UF directory (search “Masoud Rouhizadeh”).

Log in to save this lab, see how to contact the PI, and write your outreach email.

Are you in this lab?Claim this lab

Open positions

No positions posted right now. Many labs still take undergrads who reach out to them, so see how to get in touch.
Medical AI Research (MAIR) Lab · Masoud Rouhizadeh | JoinLattice