Justin L. Couetil
Biochemistry, Genetics and Molecular Biology · Indiana University
Publications
15
Citations
44
Est. group size
~1
Recurring co-author estimate
Active years
8
Publishing since 2019
Justin L. Couetil works at the intersection of biomedical data and machine learning, developing computational tools to analyze medical images and molecular data. Recent projects focus on predicting outcomes in melanoma (a type of skin cancer) using histopathology images—microscope views of tissue—combined with interpretable machine learning, as well as single-cell and spatial transcriptomics, which measure gene activity in individual cells and their locations within tissue. Earlier work spans clinical studies and microbial detection methods.
Publication activity has grown over the last decade, from occasional single papers before 2022 to a steadier pace of roughly three papers per year in recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- DEGAS_ST_proj
Mendeley Data · 2026
- Trends in Melanoma Patient Survival Based on Tumor Depth and Anatomic Location
Proceedings of IMPRS · 2024
- Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models
Frontiers in Medicine · 2023
- Intra-muscular administration of autologous bone marrow mononuclear cells reduces opioid dependency in patients with critical limb threatening ischemia.
Proceedings of IMPRS · 2020
- Microbial enrichment and multiplexed microfiltration for accelerated detection of <i>Salmonella</i> in spinach
Biotechnology Progress · 2019
- bioRxiv (Cold Spring Harbor Laboratory)×3
- Proceedings of IMPRS×2
- Journal of Clinical and Translational Science×2
- Frontiers in Medicine×1
- Biotechnology Progress×1
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 11, 2026.
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