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Journal Articles

Augmented Hyper-CVAD (AHCVAD), a Pediatric Inspired Regimen for Adults Younger Than 50 Years of Age with Acute Lymphoblastic Leukemia (ALL), Yields High Rates of MRD Negativity, Favorable 3-Year Overall Survival Regardless of Allogeneic Stem Cell Transplant (ASCT): A Single Center Experience

Sarvarinder Kaur Gill, Geeny Lee, Joelle Rubin, Shuqi Wang, Jamie Koprivnikar, Katherine Linder, James McCloskey

Blood (2024) 144 (Supplement 1): 1448.

https://doi.org/10.1182/blood-2024-210149

Published: 2024

Journal Articles

Establishing Distinct Cytokine Signatures Differentiating between Acute Myeloid Leukemia, Myelodysplastic Syndrome, and Chip Using Bone Marrow RNA or Cell-Free RNA (cfRNA)

Maher Albitar, Sally Agersborg, Ahmad Charifa, Hong Zhang, Andrew Ip, Katherine Linder, Andrew L Pecora, Jamie Koprivnikar, Andre Goy, James McCloskey

Blood (2024) 144 (Supplement 1): 4295.

https://doi.org/10.1182/blood-2024-203870

Published: 2024

Journal Articles

Using Next Generation Sequencing of Flow Cytometry CD Markers and Machine Learning As a Replacement to Flow Cytometry Analysis for the Diagnosis of Hematologic Neoplasms

Maher Albitar, Hong Zhang, Andrew Ip, Wanlong Ma, James McCloskey, Katherine Linder, Jeffrey Justin Estella, Jamie Koprivnikar, Noa Biran, David S. Siegel, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 3654.

https://doi.org/10.1182/blood-2023-187041

Published: 2023

Journal Articles

Deregulation of HLA-Class I and Class II Genes in Chip, MDS, and Acute Leukemia and Similarity between Chip and MDS in HLA Profile

Maher Albitar, Hong Zhang, Andrew Ip, Gustavo A. Rivero, Wanlong Ma, James McCloskey, Katherine Linder, Jeffrey Justin Estella, Jamie Koprivnikar, Ahmad Charifa, Arash Mohtashamian, Andrew L Pecora, Andre Goy

Blood (2023) 142 (Supplement 1): 5688.

https://doi.org/10.1182/blood-2023-187606

Published: 2023

Journal Articles

DNA and RNA Profiles in Machine Learning Algorithm to Predict Which Patients with AML/MDS Will Respond to Venetoclax-Based Therapy

Maher Albitar, Andrew Ip, Andre H. Goy, Katherine Linder, Jeffrey Justin Estella, Ahmad Charifa, Wanlong Ma, Andrew L. Pecora, Jamie Koprivnikar, James McCloskey

Blood (2022) 140 (Supplement 1): 6270–6271.

https://doi.org/10.1182/blood-2022-167406

Published: 2022

NARROW

Augmented Hyper-CVAD (AHCVAD), a Pediatric Inspired Regimen for Adults Younger Than 50 Years of Age with Acute Lymphoblastic Leukemia (ALL), Yields High Rates of MRD Negativity, Favorable 3-Year Overall Survival Regardless of Allogeneic Stem Cell Transplant (ASCT): A Single Center Experience

Establishing Distinct Cytokine Signatures Differentiating between Acute Myeloid Leukemia, Myelodysplastic Syndrome, and Chip Using Bone Marrow RNA or Cell-Free RNA (cfRNA)

Using Next Generation Sequencing of Flow Cytometry CD Markers and Machine Learning As a Replacement to Flow Cytometry Analysis for the Diagnosis of Hematologic Neoplasms

Deregulation of HLA-Class I and Class II Genes in Chip, MDS, and Acute Leukemia and Similarity between Chip and MDS in HLA Profile

DNA and RNA Profiles in Machine Learning Algorithm to Predict Which Patients with AML/MDS Will Respond to Venetoclax-Based Therapy

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ASH Publications

American Society of Hematology

Augmented Hyper-CVAD (AHCVAD), a Pediatric Inspired Regimen for Adults Younger Than 50 Years of Age with Acute Lymphoblastic Leukemia (ALL), Yields High Rates of MRD Negativity, Favorable 3-Year Overall Survival Regardless of Allogeneic Stem Cell Transplant (ASCT): A Single Center Experience

Establishing Distinct Cytokine Signatures Differentiating between Acute Myeloid Leukemia, Myelodysplastic Syndrome, and Chip Using Bone Marrow RNA or Cell-Free RNA (cfRNA)

Using Next Generation Sequencing of Flow Cytometry CD Markers and Machine Learning As a Replacement to Flow Cytometry Analysis for the Diagnosis of Hematologic Neoplasms

Deregulation of HLA-Class I and Class II Genes in Chip, MDS, and Acute Leukemia and Similarity between Chip and MDS in HLA Profile

DNA and RNA Profiles in Machine Learning Algorithm to Predict Which Patients with AML/MDS Will Respond to Venetoclax-Based Therapy

Email alerts

ASH Publications

American Society of Hematology

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