College of Pharmacy

Hasan Research Group

Led by Md Mahmudul Hasan · Pharmaceutical Outcomes and Policy

Auto-generated from UF undergraduate research symposium abstracts

What we study

This group builds machine-learning tools to predict problems for people being treated for opioid use disorder, such as stopping treatment or relapse. It also leads a repository of medical marijuana data. The work blends health data, statistics and management science.

Public Health & EpidemiologyData Science & Statistics

What working here is like

  • Computational
  • No organisms (data only)
  • Coding required
Projects
2

Current projects

BUP-CARE

NIDA project: machine learning to predict gaps in buprenorphine care.

PROTECT

NIDA project: decision-support tool to predict relapse on opioid use disorder treatment.

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

How to reach out

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Hasan Research Group · Md Mahmudul Hasan | JoinLattice