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  1. No Access

    Article

    Unlocking the Potential of Artificial Intelligence in Acute Myeloid Leukemia and Myelodysplastic Syndromes

    This review aims to elucidate the transformative impact and potential of machine learning (ML) in the diagnosis, prognosis, and clinical management of myelodysplastic syndromes (MDS) and acute myeloid leukemia...

    Abdulrahman Alhajahjeh, Aziz Nazha in Current Hematologic Malignancy Reports (2024)

  2. Article

    Open Access

    Whole-genome sequencing identifies novel predictors for hematopoietic cell transplant outcomes for patients with myelodysplastic syndrome: a CIBMTR study

    Recurrent mutations in TP53, RAS pathway and JAK2 genes were shown to be highly prognostic of allogeneic hematopoietic cell transplant (alloHCT) outcomes in myelodysplastic syndromes (MDS). However, a signific...

    Tao Zhang, Paul Auer, **g Dong, Corey Cutler in Journal of Hematology & Oncology (2023)

  3. Article

    Open Access

    Prognostic landscape of mitochondrial genome in myelodysplastic syndrome after stem-cell transplantation

    Despite mitochondrial DNA (mtDNA) mutations are common events in cancer, their global frequency and clinical impact have not been comprehensively characterized in patients with myelodysplastic neoplasia (also ...

    **g Dong, Christopher Staffi Buradagunta, Tao Zhang in Journal of Hematology & Oncology (2023)

  4. No Access

    Article

    Differences in classification schemata for myelodysplastic/myeloproliferative overlap neoplasms

    Mrinal M. Patnaik, Amer M. Zeidan, Eric Padron, Uwe Platzbecker in Leukemia (2022)

  5. No Access

    Article

    Finding consistency in classifications of myeloid neoplasms: a perspective on behalf of the International Workshop for Myelodysplastic Syndromes

    Amer M. Zeidan, Jan Philipp Bewersdorf, Rena Buckstein, Mikkael A. Sekeres in Leukemia (2022)

  6. Article

    Open Access

    The ABNL-MARRO 001 study: a phase 1–2 study of randomly allocated active myeloid target compound combinations in MDS/MPN overlap syndromes

    Myelodysplastic/myeloproliferative neoplasms (MDS/MPN) comprise several rare hematologic malignancies with shared concomitant dysplastic and proliferative clinicopathologic features of bone marrow failure and ...

    Tamara K. Moyo, Jason H. Mendler, Raphael Itzykson, Ashwin Kishtagari in BMC Cancer (2022)

  7. No Access

    Article

    Why Machine Learning Should Be Taught in Medical Schools

    The rapid development of machine learning (ML) applications in healthcare promises to transform the landscape of healthcare. In order for ML advancements to be effectively utilized in clinical care, it is nece...

    Matthew Nagy, Nathan Radakovich, Aziz Nazha in Medical Science Educator (2022)

  8. Article

    Open Access

    A prospective biomarker analysis of alvocidib followed by cytarabine and mitoxantrone in MCL-1-dependent relapsed/refractory acute myeloid leukemia

    Joshua F. Zeidner, Tara L. Lin, Carlos E. Vigil, Gil Fine in Blood Cancer Journal (2021)

  9. No Access

    Chapter

    Novel and Investigational Therapies in Acute Myeloid Leukemia

    Acute myeloid leukemia (AML) is classified into four broad categories in the revised World Health Organization classification for myeloid neoplasms; AML with recurrent genetic abnormalities, AML with myelodysp...

    Yazan F. Madanat, Aziz Nazha in Acute Leukemias (2021)

  10. No Access

    Article

    Revised 15-item MDS-specific frailty scale maintains prognostic potential

    Bo A. Wan, Aziz Nazha, Rebecca Starkman, Shabbir Alibhai, Richard. A. Wells in Leukemia (2020)

  11. Article

    Open Access

    Context dependent effects of ascorbic acid treatment in TET2 mutant myeloid neoplasia

    Loss-of-function TET2 mutations (TET2MT) are common in myeloid neoplasia. TET2, a DNA dioxygenase, requires 2-oxoglutarate and Fe(II) to oxidize 5-methylcytosine. TET2MT thus result in hypermethylation and transc...

    Yihong Guan, Edward F. Greenberg, Metis Hasipek, Shi Chen in Communications Biology (2020)

  12. No Access

    Article

    Artificial Intelligence in Hematology: Current Challenges and Opportunities

    Artificial intelligence (AI), and in particular its subcategory machine learning, is finding an increasing number of applications in medicine, driven in large part by an abundance of data and powerful, accessi...

    Nathan Radakovich, Matthew Nagy, Aziz Nazha in Current Hematologic Malignancy Reports (2020)

  13. Article

    Open Access

    The Evolving Landscape of Myelodysplastic Syndrome Prognostication

    Myelodysplastic syndromes (MDSs) are potentially devastating monoclonal deviations of hematopoiesis that lead to bone marrow dysplasia and variable cytopenias. Predicting severity of disease progression and li...

    Jacob Shreve, Aziz Nazha in Clinical Hematology International (2020)

  14. Article

    Open Access

    Personalized predictions of patient outcomes during and after hospitalization using artificial intelligence

    Hospital systems, payers, and regulators have focused on reducing length of stay (LOS) and early readmission, with uncertain benefit. Interpretable machine learning (ML) may assist in transparently identifying...

    C. Beau Hilton, Alex Milinovich, Christina Felix, Nirav Vakharia in npj Digital Medicine (2020)

  15. No Access

    Article

    Large granular lymphocytic leukemia coexists with myeloid clones and myelodysplastic syndrome

    Jibran Durrani, Hassan Awada, Ashwin Kishtagari, Valeria Visconte in Leukemia (2020)

  16. Article

    Open Access

    Invariant patterns of clonal succession determine specific clinical features of myelodysplastic syndromes

    Myelodysplastic syndromes (MDS) arise in older adults through stepwise acquisitions of multiple somatic mutations. Here, analyzing 1809 MDS patients, we infer clonal architecture by using a stringent, the sing...

    Yasunobu Nagata, Hideki Makishima, Cassandra M. Kerr in Nature Communications (2019)

  17. No Access

    Article

    Mutation clonal burden and allogeneic hematopoietic cell transplantation outcomes in acute myeloid leukemia and myelodysplastic syndromes

    Next generation sequencing (NGS) has become an important tool to inform disease risk for myeloid malignancies, however data remains conflicting regarding the significance of individual mutations. We performed ...

    Betty K. Hamilton, Lisa Rybicki, Casandra Hirsch in Bone Marrow Transplantation (2019)

  18. Article

    Open Access

    TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups

    Risk stratification is critical in the care of patients with myelodysplastic syndromes (MDS). Approximately 10% have a complex karyotype (CK), defined as more than two cytogenetic abnormalities, which is a hig...

    Detlef Haase, Kristen E. Stevenson, Donna Neuberg, Jaroslaw P. Maciejewski in Leukemia (2019)

  19. No Access

    Article

    Online and Social Media Resources for Patients with MDS

    The number of online resources for patients with MDS is exponentially increasing; this is in large part due to the advent of social media which has introduced multiple avenues for information exchange and comm...

    Nour Abuhadra, Aziz Nazha in Current Hematologic Malignancy Reports (2018)

  20. No Access

    Article

    Making Sense of Prognostic Models in Chronic Myelomonocytic Leukemia

    To evaluate established prognostic models in chronic myelomonocytic leukemia (CMML) and describe the challenges associated with their application in clinical practice.

    Aziz Nazha, Mrinal M. Patnaik in Current Hematologic Malignancy Reports (2018)

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