LabCompass

Miad Boodaghidizaji

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

18

Citations

62

Est. group size

~5

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

This researcher works at the intersection of computational data analysis and digestive disease research, applying machine learning and statistical modeling to clinical data from patients with inflammatory bowel disease and related liver/bile duct conditions. Recent work focuses on predicting disease complications, such as recurrence after surgery in Crohn's disease and progression to primary sclerosing cholangitis, using routine lab results and multi-omics data (combined genetic, molecular, and clinical measurements). The research aims to help identify disease subtypes and forecast outcomes to support clinical decision-making.

Machine learning for disease predictionInflammatory bowel disease (Crohn's disease, ulcerative colitis)Primary sclerosing cholangitis and liver diseaseMulti-omics data integrationClinical biomarker modeling

Publication output was minimal or absent before 2020 but has grown substantially since, with a marked increase in 2025-2026, suggesting an accelerating and currently active research trajectory.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.2/year recently
1718192020: 1 publication202021: 1 publication212022: 3 publications222023: 1 publication232024: 2 publications242025: 7 publications7252026: 3 publications26
Publishes in
  • Gastroenterology×4
  • bioRxiv (Cold Spring Harbor Laboratory)×3
  • Analytical Chemistry×1
  • MicrobiologyOpen×1
  • BMC Microbiology×1
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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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