Jitin Makker, MD

Dr. Makker's interests focus on pathology informatics, digital pathology, and computational approaches to improve cancer diagnosis, reporting, and care. He is particularly interested in transforming unstructured pathology data into more usable and actionable information for clinical care, quality improvement, and research. This includes applying informatics methods such as natural language processing to better extract, organize, and interpret pathology data, improving cancer testing workflows and genomic reporting, and leveraging digital pathology and artificial intelligence to support cancer diagnosis and more data-driven pathology practice. His broader goal is to help build the infrastructure for more integrated, precise, and collaborative cancer care across specialties.

Bedoya-López AF, Ahn S, Ensenyat-Mendez M, Orozco JIJ, Iñiguez-Muñoz S, Llinàs- Arias P, Thomas SM, Baker JL, Sullivan PS, Makker J, Steele JB, Kurian SM, Marzese DM, DiNome ML. Epigenetic determinants of an immune-evasive phenotype in HER2-low triple-negative breast cancer. NPJ Precision Oncology. 2025;9:287. doi:10.1038/s41698-025-01023-3. PMID: 40817343.

Shang HH, Nasr MS, Veerla JP, Saurav JR, Hajighasemi A, Boodaghi Malidarreh P, Huber M, Moleta C, Makker J, Luber JM. Histopathology Slide Indexing and Search: Are We There Yet? NEJM AI. 2024;1(5).

Treece CLB, Filipek J, Makker J, Moatamed NA, Rodriguez EF. Accuracy of frozen section remote subspecialty consultation using real-time telepathology and wholeslide imaging in gynecologic cases. American Journal of Clinical Pathology. 2023. PMID: 37639561.