Hedvat, Cyrus
Icahn School of Medicine at Mount Sinai
6 papers on CoChatORCID 0000-0003-0045-3491
Most cited papers
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Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing
Frampton, G. M., Fichtenholtz, A., Otto, G. A., Wang, K., Downing, S. R., He, J., Schnall-Levin, M., White, J., Sanford, E. M., An, P., et al. (2013) · Nature Biotechnology
Cancer Genomics and DiagnosticsGenomics and Rare Diseases
Cited by 2,157
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CD19-targeted T cells rapidly induce molecular remissions in adults with chemotherapy-refractory acute lymphoblastic leukemia
Brentjens, R. J., Davila, M. L., Riviere, I., Park, J., Wang, X., Cowell, L. G., Bartido, S., Stefanski, J., Taylor, C., Olszewska, M., et al. (2013) · Science Translational Medicine
CAR-T cell therapy researchAcute Lymphoblastic Leukemia research
Cited by 2,063
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The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutarate
Ward, P. S., Patel, J., Wise, D. R., Abdel-Wahab, O., Bennett, B. D., Coller, H. A., Cross, J. R., Fantin, V. R., Hedvat, C. V., Perl, A. E., et al. (2010) · Cancer Cell
Acute Myeloid Leukemia ResearchCancer, Hypoxia, and Metabolism
Cited by 2,020
- Verified
Genetic characterization of TET1, TET2, and TET3 alterations in myeloid malignancies
Abdel-Wahab, O., Mullally, A., Hedvat, C., Garcia-Manero, G., Patel, J., Wadleigh, M., Malinge, S., Yao, J., Kilpivaara, O., Bhat, R., et al. (2009) · Blood
Acute Myeloid Leukemia ResearchMyeloproliferative Neoplasms: Diagnosis and Treatment
Cited by 727
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Resistance to imatinib in patients with chronic myelogenous leukemia and the splice variant BCR-ABL1(35INS)
Berman, E., Jhanwar, S., Hedvat, C., Arcila, M. E., Wahab, O. A., Levine, R., Maloy, M., Ma, W., & Albitar, M. (2016) · Leukemia Research
Chronic Myeloid Leukemia TreatmentsChronic Lymphocytic Leukemia Research
Cited by 41
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Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Campanella, G., Kwan, R., Fluder, E., Zeng, J., Stock, A., Veremis, B., Polydorides, A. D., Hedvat, C., Schoenfeld, A., Vanderbilt, C., et al. (2023) · arXiv
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 15
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