Andrew Srisuwananukorn

Joined

July 2025

Names

Andrew Srisuwananukorn (Preferred)

Emails

****@osumc.edu (Confirmed)

Personal Links

ORCID

Career & Education History

Assistant Professor

Hematology, The Ohio State University (osumc.edu)

2023 – 2025

Advisors, Relations & Conflicts

Coworker

Ping Zhang

2023 – Present

Expertise

Hematology

2023 – Present

Publications

When Case Gets Rare: A Retrieval Benchmark for Off-Guideline Medical Question Answering
Doeun Lee, Yi Yu, Ashish Manne, Oluwatoba Moninuola, Andrew Srisuwananukorn, Frank Wen, Ping Zhang, Sachin Kumar
- Submitted to ICLR 2026
- Readers: Everyone
Artificial intelligence in hematology
Aziz Nazha, Olivier Elemento, Sanjay Ahuja, Barbara Lam, Moses Miles, Roni Shouval, Shannon McWeeney, Shireen Sirhan, Andrew Srisuwananukorn, Torsten Haferlach
- Blood
- Readers: Everyone
Toward Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review
Jean M.G. Sabile, Ping Zhang, Anil V. Parwani, Boris Chobrutsiky, Arpita P. Gandhi, Andrew Srisuwananukorn
- Acta Haematologica
- Readers: Everyone
Oral Decitabine/Cedazuridine Is an Effective Ambulatory Therapy for Patients With Myelofibrosis Refractory to JAK2 Inhibitor Therapy
Shivani Handa, Ganesh Sivakumar, Andrew Srisuwananukorn, Amylou Dueck, Douglas Tremblay, John O Mascarenhas, Yelena Ginzburg, Marina Kremyanskaya, Ronald Hoffman
- Clinical Lymphoma Myeloma and Leukemia
- Readers: Everyone
Deep learning generates synthetic cancer histology for explainability and education
James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li et al. (3 additional authors not shown)
- npj Precision Oncology
- Readers: Everyone
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence
Frederick M. Howard, James Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn, Anna Woodard, Nan Chen, Rita Nanda, Charles M. Perou, Olufunmilayo I. Olopade, Dezheng Huo, Alexander T. Pearson
- npj Breast Cancer
- Readers: Everyone
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology
James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron S. Mansfield, Sagar Rakshit, Radhika Bansal, Melanie C. Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson
- Nature Communications
- Readers: Everyone

Co-Authors

View all 65 co-authors

Andrew Srisuwananukorn

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

When Case Gets Rare: A Retrieval Benchmark for Off-Guideline Medical Question Answering

Artificial intelligence in hematology

Toward Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review

Oral Decitabine/Cedazuridine Is an Effective Ambulatory Therapy for Patients With Myelofibrosis Refractory to JAK2 Inhibitor Therapy

Deep learning generates synthetic cancer histology for explainability and education

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

Co-Authors