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Journal Articles

Development and Validation of a Machine Learning Algorithm for Prediction of Platelet Transfusion Efficiency in Patients with Hematological Diseases

Meng Wang, Jian Cheng, Xiuwen Li, Baoan Chen, MD PhD

Blood (2019) 134 (Supplement_1): 2454.

DOI: https://doi.org/10.1182/blood-2019-124662

Published: 2019

Journal Articles

Genome-Wide Methylation Analysis Using the Digital Restriction Enzyme Analysis of Methylation for Stratification of Patients with Juvenile Myelomonocytic Leukemia

Hironobu Kitazawa, Hideki Muramatsu, MD PhD, Norihiro Murakami, MD PhD, Yusuke Okuno, MD PhD, Manabu Wakamatsu, MD, Taro Yoshida, MD, Masayuki Imaya, MD, Ayako Yamamori, MD, Shunsuke Miwata, MD, Kotaro Narita, MD, Motoharu Hamada, MD PhD, Daisuke Ichikawa, MD, Rieko Taniguchi, MD, Nozomu Kawashima, MD PhD, Eri Nishikawa, MD PhD, Atsushi Narita, Nobuhiro Nishio, MD PhD, Seiji Kojima, MD PhD, Yoshiyuki Takahashi, MD PhD

Blood (2019) 134 (Supplement_1): 2973.

DOI: https://doi.org/10.1182/blood-2019-127792

Published: 2019

Journal Articles

Next-Generation RNA Sequencing-Based Analysis Identifies a Novel Set of Prognostic Micrornas (miRs) in Cytogenetically Normal Acute Myeloid Leukemia (CN-AML)

Dimitrios Papaioannou, MD, Deedra Nicolet, MS, Kellie J Archer, PhD, Allison Walker, Krzysztof Mrózek, MD PhD, Andrew J. Carroll, PhD, Jessica Kohlschmidt, PhD, Ann-Kathrin Eisfeld, MD, Marius Bill, MD PhD, Christopher J. Walker, PhD, Geoffrey L. Uy, MD, Bayard L Powell, MD, Jonathan E. Kolitz, MD, Richard Stone, MD, John C. Byrd, MD, Ramiro Garzon, MD, Clara D. Bloomfield, MD

Blood (2019) 134 (Supplement_1): 2694.

DOI: https://doi.org/10.1182/blood-2019-125727

Published: 2019

Journal Articles

Risk of Relapse after Anti-PD1 Discontinuation and Efficacy of Anti-PD1 Re-Treatment in Patients with Hodgkin Lymphoma

Guillaume Manson, Pauline Brice, Charles Herbaux, MD MSc, Maria Silva, Krimo Bouabdallah, MD, Bénédicte Deau-Fisher, MD, Juliette Bouteloup, MD, Jean Marc Schiano de Collela, MD, Emmanuelle Nicolas-Virelizier, Marie Maerevoet, MD, Herve Ghesquieres, MD PhD, Aspasia Stamatoulas Bastard, Chloe Antier, Florence Poizeau, Laurent Dercle, MD, Roch Houot, MD PhD

Blood (2019) 134 (Supplement_1): 1549.

DOI: https://doi.org/10.1182/blood-2019-122171

Published: 2019

Journal Articles

Molecular Characteristics and Disease Burden Metrics Determined By Next-Generation Sequencing on Circulating Tumor DNA Correlate with Progression Free Survival in Previously Untreated Diffuse Large B-Cell Lymphoma

Ehsan Tabari, PhD, Alexander F Lovejoy, PhD, Hai Lin, PhD, Christopher R Bolen, PhD, Seng Lor Saelee, BA, Joshua P Lefkowitz, David M. Kurtz, MD PhD, Patrik Vitazka, MD PhD, Jeffrey M. Venstrom, MD PhD, Tina G Nielsen, MD PhD, Joana M Parreira, MD, Daniel M Klass, PhD, Khai T Luong, PhD

Blood (2019) 134 (Supplement_1): 490.

DOI: https://doi.org/10.1182/blood-2019-123633

Published: 2019

Journal Articles

Estimating the Risk of Myocardial Infarction in Persons with Hemophilia A Using a Machine-Learning Approach with US Claims Data

Imi Faghmous, MPH, Carlos Flores, MPH, Kati Sarouei, MD, Tiffany Y. Chang, MD MAS, Anisha M. Patel, PhD, Cami S. Sima, MD, Peter Kuebler, PharmD

Blood (2019) 134 (Supplement_1): 1133.

DOI: https://doi.org/10.1182/blood-2019-123761

Published: 2019

Journal Articles

Geno-Clinical Model for the Diagnosis of Bone Marrow Myeloid Neoplasms

Blood (2019) 134 (Supplement_1): 4238.

DOI: https://doi.org/10.1182/blood-2019-126967

Published: 2019

Journal Articles

Updated Analysis: Novel Machine-Learning-Based Sepsis Prediction Model for Patients Undergoing Hematopoietic Stem Cell Transplantation (Early Sepsis Prediction/Identification for Transplant Recipients: ESPRIT)

Zahra Eftekhari, MS, Sally Mokhtari, PhD, Tushondra Thomas, MSN, MBA, PHN, RN-BC, Dongyun Yang, PhD, Liana Nikolaenko, MD, Deron Johnson, PharmD, Jana Dickter, MD, Justine Abella Ross, PharmD, Bernard Tegtmeier, PhD D(ABMM), CIC, Eileen P. Smith, MD, Monzr M. Al Malki, MD, Ricardo Spielberger, MD, Anna B Pawlowska, MD, Argelia Sandoval, MD, John Zaia, MD, Stephen J Forman, MD, Janet Munu, BSc, MBA, RN, Sanjeet Dadwal, MD, Ryotaro Nakamura, MD

Blood (2019) 134 (Supplement_1): 4477.

DOI: https://doi.org/10.1182/blood-2019-130926

Published: 2019

Journal Articles

Challenging Blast Counts By Machine Learning Techniques and Genome Sequencing for Discriminating AML and MDS

Manja Meggendorfer, PhD, Wencke Walter, PhD, Claudia Haferlach, MD, Wolfgang Kern, MD, Torsten Haferlach, MD

Blood (2019) 134 (Supplement_1): 4663.

DOI: https://doi.org/10.1182/blood-2019-126449

Published: 2019

Journal Articles

Hemostasis, Hematoma Expansion, and Outcomes after Intracerebral Hemorrhage

Paul F Lindholm, MD, Hau C. Kwaan, MD PhD, Andrew M Naidech, MDMSPH

Blood (2019) 134 (Supplement_1): 4886.

DOI: https://doi.org/10.1182/blood-2019-128370

Published: 2019

Journal Articles

Single Nucleotide Polymorphism Array-Based Signature of Genetic Ploidy Groups in Acute Lymphoblastic Leukemia

Thomas Creasey, MBBS, Amir Enshaei, PhD, Kathryn Watts, BSc, Gavin Cuthbert, BSc, Claire Schwab, PhD, Christine J. Harrison, PhD FRCPath, Ajay Vora, Adele K. Fielding, MBBS,PhDFRCP,FRCPath, Anthony V. Moorman

Blood (2019) 134 (Supplement_1): 1473.

DOI: https://doi.org/10.1182/blood-2019-122556

Published: 2019

Journal Articles

Use of Machine Learning in 2074 Cases of Acute Myeloid Leukemia for Genetic Risk Profiling

Shaun Fleming, MBBS,, Cheng-Hong Tsai, MD MSc, Hartmut Döhner, MD, Konstanze Döhner, Elli Papaemmanuil, PhD, Hwei-Fang Tien, MD, PhD, John Reynolds, PhD, Andrew H. Wei, PhD FRACP, FRCPA, MBBS, Hsin-An Hou

Blood (2019) 134 (Supplement_1): 1392.

DOI: https://doi.org/10.1182/blood-2019-128243

Published: 2019

Journal Articles

An Atlas of Clinically-Distinct Tumor Cellular Ecosystems in Diffuse Large B Cell Lymphoma

Chloe B. Steen, MSc, Bogdan A. Luca, PhD, Mohammad Shahrokh Esfahani, Barzin Y. Nabet, PhD, Brian Sworder, MD PhD, Farshad Farshidfar, MD PhD, Kiarash Shamardani, BA, David M. Kurtz, MD PhD, Chih Long Liu, PhD, Ranjana H Advani, MD, Yasodha Natkunam, MD PhD, June Helen Myklebust, PhD, Maximilian Diehn, MD PhD, Andrew Gentles, PhD, Aaron M Newman, PhD, Ash A. Alizadeh, MD PhD

Blood (2019) 134 (Supplement_1): 655.

DOI: https://doi.org/10.1182/blood-2019-129461

Published: 2019

Journal Articles

Proteomic Profiling of HTLV-1 Carriers and ATL Patients Reveal TNFR2 As a Novel Diagnostic and Chemosensitivity Biomarker for ATL

Carmina Louise Hugo Guerrero, MS, Yoshiko Yamashita, PhD, Megumi Kuba-Miyara, PhD, Naoki Imaizumi, PhD, Shugo Sakihama, PhD, Masaki Hayashi, MD, Takashi Miyagi, MD PhD, Satoko Morishima, MD PhD, Kennosuke Karube, MD PhD, Yuetsu Tanaka, PhD, Hiroaki Masuzaki, MD PhD, Takuya Fukushima, MD PhD

Blood (2019) 134 (Supplement_1): 660.

DOI: https://doi.org/10.1182/blood-2019-129817

Published: 2019

Journal Articles

The Children's Hospital-Acquired Thrombosis (CHAT) Consortium Admission Risk-Assessment Models from Traditional Biostatistics and Machine Learning

Blood (2019) 134 (Supplement_1): 635.

DOI: https://doi.org/10.1182/blood-2019-126128

Published: 2019

Journal Articles

Identification of Recurrent Alternative RNA Splicing in Adverse-Risk Acute Myeloid Leukemia

Govardhan Anande, Ashwin Unnikrishnan, PhD, Nandan Deshpande, PhD, Sylvain Mareschal, Aarif M. N. Batcha, Tobias Herold, MD, Sören Lehmann, MD PhD, Marc Wilkins, PhD, Jason Wong, PhD, John Pimanda, MBBS, PhD

Blood (2019) 134 (Supplement_1): 457.

DOI: https://doi.org/10.1182/blood-2019-129537

Published: 2019

Journal Articles

Machine Learning Algorithms in Predicting Hospital Readmissions in Sickle Cell Disease

Arisha Patel, MD, Kyra Gan, PhDCandidate, Andrew Li, PhD, Jeremy Weiss, MD PhD, Seyed Mehdi Nouraie, MD PhD, Sridhar Tayur, PhD, Enrico M Novelli, MD MS

Blood (2019) 134 (Supplement_1): 982.

DOI: https://doi.org/10.1182/blood-2019-121808

Published: 2019

Journal Articles

A Machine Learning Algorithm to Improve Risk Assessment for Patients with Sickle Cell Disease

Vandana Sachdev, MD, Yuan Gu, PhD, James Nichols, RN, Wen Li, RCS, Stanislav Sidenko, RCS, Darlene Allen, MT(ASCP), Colin Wu, PhD, Swee Lay Thein, DSc, MBBS

Blood (2019) 134 (Supplement_1): 893.

DOI: https://doi.org/10.1182/blood-2019-125846

Published: 2019

Journal Articles

How Morphologic Features Are Shaped By Underlying Somatic Genotype in MDS

Yasunobu Nagata, MD PhD, Ran Zhao, Hassan Awada, Cassandra M Kerr, MS, Abhinav Goyal, Inom Mirzaev, Sunisa Kongkiatkamon, Aziz Nazha, MD, Tomas Radivoyevitch, PhD, Jacob Scott, MD, Mikkael A. Sekeres, MD MS, Brian P. Hobbs, PhD, Jaroslaw P. Maciejewski, MD PhD

Blood (2019) 134 (Supplement_1): 1716.

DOI: https://doi.org/10.1182/blood-2019-127285

Published: 2019

Journal Articles

Machine Learning Prediction for Complete Response to Hypomethylating Agents with or without Additional Agents in Patients with Newly Diagnosed Myelodysplastic Syndrome

Koji Sasaki, MD, Guillermo Montalban Bravo, MD, Rashmi Kanagal-Shamanna, MD, Elias Jabbour, MD, Farhad Ravandi, MD, Tapan M. Kadia, MD, Kiran Naqvi, MDMPH, Naval G. Daver, MD, Sherry A. Pierce, BSN, BA, Koichi Takahashi, MD, Courtney D. DiNardo, MDMSc, Graciela M. Nogueras González, MPH, Keyur Patel, MD PhD, Kelly Soltysiak, PhD, Junya Sato, Jorge E. Cortes, MD, Hagop M. Kantarjian, MD, Guillermo Garcia-Manero, MD

Blood (2019) 134 (Supplement_1): 1720.

DOI: https://doi.org/10.1182/blood-2019-130155

Published: 2019

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NARROW

Development and Validation of a Machine Learning Algorithm for Prediction of Platelet Transfusion Efficiency in Patients with Hematological Diseases

Genome-Wide Methylation Analysis Using the Digital Restriction Enzyme Analysis of Methylation for Stratification of Patients with Juvenile Myelomonocytic Leukemia

Next-Generation RNA Sequencing-Based Analysis Identifies a Novel Set of Prognostic Micrornas (miRs) in Cytogenetically Normal Acute Myeloid Leukemia (CN-AML)

Risk of Relapse after Anti-PD1 Discontinuation and Efficacy of Anti-PD1 Re-Treatment in Patients with Hodgkin Lymphoma

Molecular Characteristics and Disease Burden Metrics Determined By Next-Generation Sequencing on Circulating Tumor DNA Correlate with Progression Free Survival in Previously Untreated Diffuse Large B-Cell Lymphoma

Estimating the Risk of Myocardial Infarction in Persons with Hemophilia A Using a Machine-Learning Approach with US Claims Data

Geno-Clinical Model for the Diagnosis of Bone Marrow Myeloid Neoplasms

Updated Analysis: Novel Machine-Learning-Based Sepsis Prediction Model for Patients Undergoing Hematopoietic Stem Cell Transplantation (Early Sepsis Prediction/Identification for Transplant Recipients: ESPRIT)

Challenging Blast Counts By Machine Learning Techniques and Genome Sequencing for Discriminating AML and MDS

Hemostasis, Hematoma Expansion, and Outcomes after Intracerebral Hemorrhage

Single Nucleotide Polymorphism Array-Based Signature of Genetic Ploidy Groups in Acute Lymphoblastic Leukemia

Use of Machine Learning in 2074 Cases of Acute Myeloid Leukemia for Genetic Risk Profiling

An Atlas of Clinically-Distinct Tumor Cellular Ecosystems in Diffuse Large B Cell Lymphoma

Proteomic Profiling of HTLV-1 Carriers and ATL Patients Reveal TNFR2 As a Novel Diagnostic and Chemosensitivity Biomarker for ATL

The Children's Hospital-Acquired Thrombosis (CHAT) Consortium Admission Risk-Assessment Models from Traditional Biostatistics and Machine Learning

Identification of Recurrent Alternative RNA Splicing in Adverse-Risk Acute Myeloid Leukemia

Machine Learning Algorithms in Predicting Hospital Readmissions in Sickle Cell Disease

A Machine Learning Algorithm to Improve Risk Assessment for Patients with Sickle Cell Disease

How Morphologic Features Are Shaped By Underlying Somatic Genotype in MDS

Machine Learning Prediction for Complete Response to Hypomethylating Agents with or without Additional Agents in Patients with Newly Diagnosed Myelodysplastic Syndrome

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American Society of Hematology

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ASH Publications

American Society of Hematology

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