LabCompass

Hannah Marie Brown

Medicine · Purdue University West Lafayette

Mid career · publishing since 2002

Publications

14

Citations

210

Est. group size

~1

Recurring co-author estimate

Active years

23

Publishing since 2002

Research summary
AI-generated

Hannah Marie Brown's work focuses on using mass spectrometry techniques, especially ambient ionization methods like desorption electrospray ionization (DESI), to rapidly analyze tissue during surgery—particularly to detect genetic mutations (IDH mutations) in brain tumors called gliomas. She also has published on clinical laboratory quality issues, such as sample contamination detection and the use of machine learning or AI tools (including comparisons with GPT-4) in interpreting lab and diagnostic data.

Intraoperative mass spectrometry for cancer diagnosisGlioma molecular diagnostics (IDH mutation detection)Clinical laboratory quality and contamination detectionMachine learning applications in clinical pathologyMetabolomics of brain tissue

Publication output has been modest and relatively steady over the last decade, with a peak of three papers per year in 2021-2022 and averaging about one paper per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
172018: 2 publications182019: 1 publication192020: 1 publication202021: 3 publications3212022: 3 publications3222023: 2 publications232024: 1 publication242526
Publishes in
  • Clinical Chemistry×2
  • The Journal of Applied Laboratory Medicine×2
  • Analytical and Bioanalytical Chemistry×2
  • American Journal of Clinical Pathology×2
  • Neuro-Oncology×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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