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Journal Articles

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Gvhd (aGVHD) and Overall Survival after Allogeneic HSC Transplantation

Maher Albitar, Hong Zhang, Andrew L. Pecora, Andrew Ip, Andre H. Goy, Spiraggelos Antzoulatos, Wanlong Ma, Sukhdeep Kaur, Hyung C. Suh, Michele L. Donato, Scott D. Rowley

Blood (2022) 140 (Supplement 1): 4757–4758.

https://doi.org/10.1182/blood-2022-162816

Published: 2022

Journal Articles

Bone Marrow-Based Biomarkers for Predicting aGVHD Using Targeted RNA Next Generation Sequencing and Machine Learning

Maher Albitar, Hong Zhang, Andrew L. Pecora, Andrew Ip, Andre H. Goy, Spiraggelos Antzoulatos, Ivan De Dios, Wanlong Ma, Sukhdeep Kaur, Hyung C. Suh, Michele L. Donato, Scott D. Rowley

Blood (2021) 138 (Supplement 1): 2892.

https://doi.org/10.1182/blood-2021-147583

Published: 2021

Journal Articles

Expression Profiling of mRNA By Next Generation Sequencing and the Development of Algorithm for Predicting Response in Acute Myeloid Leukemia

Maher Albitar, MD, Marina Y Konopleva, MD PhD, Hong Zhang, PhD, Ivan De Dios, BS, Wanlong Ma, Spiraggelos Antzoulatos, Steven M. Kornblau, MD, Antonio Cavazos, Sanam Loghavi, MD, Koichi Takahashi, MD, Hagop M. Kantarjian, MD, Courtney D. DiNardo, MDMSc

Blood (2019) 134 (Supplement_1): 1314.

https://doi.org/10.1182/blood-2019-127449

Published: 2019

Journal Articles

Higher Stability of Mutant IDH1/2 mRNA As Compared to Wild-Type mRNA in Patients with Acute Myeloid Leukemia

Maher Albitar, MD, Marina Y Konopleva, MD PhD, Ivan De Dios, BS, Jeffrey Justin Estella, BS, MS, Spiraggelos Antzoulatos, Steven M. Kornblau, MD, Antonio Cavazos, Sanam Loghavi, MD, Koichi Takahashi, MD, Hagop M. Kantarjian, MD, Courtney D. DiNardo, MDMSc

Blood (2019) 134 (Supplement_1): 2730.

https://doi.org/10.1182/blood-2019-127383

Published: 2019

Journal Articles

RNA Expression Profile Using Targeted NGS As a Potential Predictor of Early Molecular Response and Relapse in Core-Binding Factor Acute Myeloid Leukemia

Mahesh Swaminathan, MD, Nicholas Stavrou, Spiraggelos Antzoulatos, Maher Albitar, MD, Keyur Patel, MD PhD, Jorge E. Cortes, MD, Courtney D. DiNardo, MD MSc, Tapan M. Kadia, MD, Elias J. Jabbour, MD, Guillermo Garcia-Manero, MD, Hagop M. Kantarjian, MD, Gautam Borthakur, MD

Blood (2018) 132 (Supplement 1): 5113.

https://doi.org/10.1182/blood-2018-99-119098

Published: 2018

NARROW

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Gvhd (aGVHD) and Overall Survival after Allogeneic HSC Transplantation

Bone Marrow-Based Biomarkers for Predicting aGVHD Using Targeted RNA Next Generation Sequencing and Machine Learning

Expression Profiling of mRNA By Next Generation Sequencing and the Development of Algorithm for Predicting Response in Acute Myeloid Leukemia

Higher Stability of Mutant IDH1/2 mRNA As Compared to Wild-Type mRNA in Patients with Acute Myeloid Leukemia

RNA Expression Profile Using Targeted NGS As a Potential Predictor of Early Molecular Response and Relapse in Core-Binding Factor Acute Myeloid Leukemia

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ASH Publications

American Society of Hematology

Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Gvhd (aGVHD) and Overall Survival after Allogeneic HSC Transplantation

Bone Marrow-Based Biomarkers for Predicting aGVHD Using Targeted RNA Next Generation Sequencing and Machine Learning

Expression Profiling of mRNA By Next Generation Sequencing and the Development of Algorithm for Predicting Response in Acute Myeloid Leukemia

Higher Stability of Mutant IDH1/2 mRNA As Compared to Wild-Type mRNA in Patients with Acute Myeloid Leukemia

RNA Expression Profile Using Targeted NGS As a Potential Predictor of Early Molecular Response and Relapse in Core-Binding Factor Acute Myeloid Leukemia

Email alerts

ASH Publications

American Society of Hematology

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