Vidya Arole
Computer Science · The Ohio State University
Publications
16
Citations
186
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2018
Vidya Arole's work spans areas of pathology and cancer research, including the use of artificial intelligence and machine learning tools to help analyze medical images and predict cancer outcomes, as well as biomarker studies in cancers such as colorectal and bladder cancer. Some publications also touch on kidney disease (glomerulonephritis) linked to liver conditions. This research is largely based on studying patient tissue samples and clinical data to improve diagnosis and treatment decisions.
Publication output has been low and irregular over the past decade, with a peak in 2018 and generally fewer than two papers per year since.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Real-world utility of Histotype Px colorectal as a prognostic and potentially predictive biomarker.
Journal of Clinical Oncology · 2026
- Acute glomerulonephritis with large confluent IgA-dominant deposits associated with liver cirrhosis
PLoS ONE · 2018
- PLoS ONE×2
- Scientific Reports×2
- Journal of Clinical Oncology×2
- Breast Cancer Research and Treatment×1
- BMC Cancer×1
- Anil V. Parwani
Computer Science · The Ohio State University
- Can Cui
Computer Science · Purdue University West Lafayette
- Brian J. Sanderson
Computer Science · Purdue University West Lafayette
- Abdul Akbar
Computer Science · The Ohio State University
- Giovanni Lujan
Computer Science · The Ohio State University
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 19, 2026.
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