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Journal Articles

Bone marrow microenvironment overlap between vexas and myelodysplastic syndrome demonstrated by targeted transcriptomic and artificial intelligence

Maher Albitar, Sally Agersborg, Hong Zhang, Adam Albitar, Ahmad Charifa, Andrew Pecora, David Siegel, Andre Goy, Jamie Koprivnikar, James McCloskey, Katherine Linder

Blood (2025) 146 (Supplement 1): 5611.

https://doi.org/10.1182/blood-2025-5611

Published: 2025

Journal Articles

Molecular correlates of response and survival with venetoclax plus hypomethylating agent in treatment-Naïve high-risk myelodysplastic syndrome

Sarvarinder Gill, Shuqi Wang, Jamie Koprivnikar, Katherine Linder, Ayrton Bangolo, Behzad Amoozgar, Lili Zhang, James McCloskey

Blood (2025) 146 (Supplement 1): 7386.

https://doi.org/10.1182/blood-2025-7386

Published: 2025

Journal Articles

Developing transcriptomic signature for IDH1 and IDH2 acute leukemia and the demonstration of high prevalence of these signatures in mutation-negative leukemia

Maher Albitar, Hong Zhang, Gustavo Rivero, David Swoboda, Sally Agersborg, Adam Albitar, Ahmad Charifa, Andrew Ip, Andre Goy, Andrew Pecora, David Siegel, Kelly West Fitzpatrick, Katherine Linder, Jamie Koprivnikar, James McCloskey

Blood (2025) 146 (Supplement 1): 5251.

https://doi.org/10.1182/blood-2025-5251

Published: 2025

Journal Articles

AI-derived prediction of response and relapse to venetoclax plus hypomethylating agent based therapy in Acute Myeloid Leukemia

Sarvarinder Gill, Maher Albitar, Jamie Koprivnikar, Katherine Linder, Ayrton Bangolo, Behzad Amoozgar, Lili Zhang, James McCloskey

Blood (2025) 146 (Supplement 1): 1731.

https://doi.org/10.1182/blood-2025-1731

Published: 2025

Journal Articles

IDH1 mutation predicts response and survival in treatment-naïve Acute Myeloid Leukemia patients receiving with venetoclax with a hypomethylating agent

Sarvarinder Gill, Shuqi Wang, Jamie Koprivnikar, Katherine Linder, Ayrton Bangolo, Behzad Amoozgar, Lili Zhang, James McCloskey

Blood (2025) 146 (Supplement 1): 7032.

https://doi.org/10.1182/blood-2025-7032

Published: 2025

Journal Articles

Developing artificial intelligence-based transcriptomic signature for selecting patients with HOXA-MEIS1 pathway abnormalities for the treatment with menin inhibitors

Blood (2025) 146 (Supplement 1): 3471.

https://doi.org/10.1182/blood-2025-3471

Published: 2025

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

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Bone marrow microenvironment overlap between vexas and myelodysplastic syndrome demonstrated by targeted transcriptomic and artificial intelligence

Molecular correlates of response and survival with venetoclax plus hypomethylating agent in treatment-Naïve high-risk myelodysplastic syndrome

Developing transcriptomic signature for IDH1 and IDH2 acute leukemia and the demonstration of high prevalence of these signatures in mutation-negative leukemia

AI-derived prediction of response and relapse to venetoclax plus hypomethylating agent based therapy in Acute Myeloid Leukemia

IDH1 mutation predicts response and survival in treatment-naïve Acute Myeloid Leukemia patients receiving with venetoclax with a hypomethylating agent

Developing artificial intelligence-based transcriptomic signature for selecting patients with HOXA-MEIS1 pathway abnormalities for the treatment with menin inhibitors

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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