Dighe, Anand S
Harvard University · Massachusetts General Hospital
7 papers on CoChatORCID 0000-0003-4130-0758
Most cited papers
- Verified
Targeted Disruption of the Stat1 Gene in Mice Reveals Unexpected Physiologic Specificity in the JAK–STAT Signaling Pathway
Meraz, M. A., White, J. M., Sheehan, K. C. F., Bach, E. A., Rodig, S. J., Dighe, A. S., Kaplan, D. H., Riley, J. K., Greenlund, A. C., Campbell, D., et al. (1996) · Cell
Cytokine Signaling Pathways and Interactionsinterferon and immune responses
Cited by 1,656
- Verified
Demonstration of an interferon γ-dependent tumor surveillance system in immunocompetent mice
Kaplan, D. H., Shankaran, V., Dighe, A. S., Stockert, E., Aguet, M., Old, L. J., & Schreiber, R. D. (1998) · Proceedings of the National Academy of Sciences
interferon and immune responsesCancer Immunotherapy and Biomarkers
Cited by 1,465
- Verified
Enhanced in vivo growth and resistance to rejection of tumor cells expressing dominant negative IFNγ receptors
Dighe, A. S., Richards, E., Old, L. J., & Schreiber, R. D. (1994) · Immunity
Immunotherapy and Immune ResponsesCancer Immunotherapy and Biomarkers
Cited by 663
- Verified
Using Machine Learning to Predict Laboratory Test Results
Luo, Y., Szolovits, P., Dighe, A. S., & Baron, J. M. (2016) · American Journal of Clinical Pathology
Artificial Intelligence in HealthcareClinical Laboratory Practices and Quality Control
Cited by 162
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Clinical sensitivity and interpretation of PCR and serological COVID‐19 diagnostics for patients presenting to the hospital
Miller, T. E., Garcia Beltran, W. F., Bard, A. Z., Gogakos, T., Anahtar, M. N., Astudillo, M. G., Yang, D., Thierauf, J., Fisch, A. S., Mahowald, G. K., et al. (2020) · The FASEB Journal
SARS-CoV-2 detection and testingCOVID-19 Clinical Research Studies
Cited by 148
- Verified
Machine Learning and Other Emerging Decision Support Tools
Baron, J. M., Kurant, D. E., & Dighe, A. S. (2019) · Clinics in Laboratory Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 14
- Verified
Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry
Zhang, M. L., Guo, A. X., Kadauke, S., Dighe, A. S., Baron, J. M., & Sohani, A. R. (2020) · American Journal of Clinical Pathology
Clinical Laboratory Practices and Quality ControlHematological disorders and diagnostics
Cited by 10
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