Our research is funded by several grants, including:
- R01CA276301
An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma. - R01DC020715
Computer-assisted diagnosis of ear pathologies by combining digital otoscopy with complementary data using machine learning. - R21 CA273665
Efficient and cost-effective breast cancer risk stratification using whole slide histopathology images. - R21 EB029493
Development of quantitative tools to predict patients with difficult intubation to minimize treatment-related complications. - Alliance Clinical Trials in Oncology
Automatic detection of tumor buds in colorectal cancer patients from H&E images. - R01 1R01HL177046-01
Incorporating donor lung CT images into machine learning models to predict severe primary graft dysfunction after lung transplantation. - Pelotonia IRP Grant 2025
Leveraging AI and digital pathology to guide precision therapy for metastatic hormone receptor-positive, HER2-negative breast cancer.
Supporting Institutions
- Comprehensive Cancer Center, The Ohio State University
- Department of Pathology, The Ohio State University
- Pelotonia