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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.

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

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.

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.

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.

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.

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.

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.

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.

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

Published: 2019

Journal Articles

Supervised Machine Learning Algorithms Using Patient Related Factors to Predict in-Hospital Mortality Following Acute Myeloid Leukemia Therapy

Nauman Saleem Siddiqui, MD, Andreas Klein, MD, Amandeep Godara, MD, Cindy Varga, MD BSc, Rachel J. Buchsbaum, MD, Michael C. Hughes, PhD

Blood (2019) 134 (Supplement_1): 3435.

https://doi.org/10.1182/blood-2019-128823

Published: 2019

Journal Articles

Tropomyosin 1 Genetically Constrains in Vitro Megakaryopoiesis

Christopher Thom, MD PhD, Chintan Jobaliya, Kimberly Lorenz, PhD, Jean Ann Maguire, PhD, Alyssa Gagne, Paul Gadue, PhD, Deborah L French, PhD, Benjamin F Voight, PhD

Blood (2019) 134 (Supplement_1): 3612.

https://doi.org/10.1182/blood-2019-121538

Published: 2019

Journal Articles

Stringent Small Molecule Dose Requirements for the Optimal Expansion of Hematopoietic Stem Cells Revealed By Predictive Analytics and Xenotransplants

Javed K Manesia, PhD, Sakhar Almoflehi, Roya Pasha, Suria Jahan, MSc, John Blake, PhD, Julie Audet, PhD, Nicolas Pineault, PhD

Blood (2019) 134 (Supplement_1): 1185.

https://doi.org/10.1182/blood-2019-128692

Published: 2019

Journal Articles

A Novel Machine Learning Derived Genomics-Based Scoring System Is Highly Predictive of Outcome in Core Binding Factor Acute Myeloid Leukemia

Nikhil Patkar, MD, Chinmayee Kakirde, Anam Fatima Shaikh, Shrinidhi Nathany, MD, Gaurav Chatterjee, MD, Prashant Tembhare, MD, Dhanlaxmi Lalit Shetty, PhD, Anant Gokarn, MD, Sachin Punatar, MBBS,MDDM MDcal Oncology, Avinash Bonda, MD DM, Lingaraj Nayak, MDDM MDcal Oncology, Hasmukh Jain, MD DM, Navin Khattry, MD DM MDcal Oncology, Bhausaheb Bagal, MD DM, Manju Sengar, MD DM, Sumeet Gujral, MD, Papagudi Ganesan Subramanian, MD

Blood (2019) 134 (Supplement_1): 2710.

https://doi.org/10.1182/blood-2019-128500

Published: 2019

Journal Articles

PreVent-ACaLL Short-term combined acalabrutinib and venetoclax treatment of newly diagnosed patients with CLL at high risk of infection and/or early treatment, who do not fulfil IWCLL treatment criteria for treatment. A randomized study with extensive immune phenotyping

Caspar Da Cunha-Bang, MD PhD, Rudy Agius, Arnon P. Kater, Mark-David Levin, MD PhD, Anders Österborg, MD PhD, Mattias Mattsson, MD, Carsten Utoft Niemann, MD PhD

Blood (2019) 134 (Supplement_1): 4304.

https://doi.org/10.1182/blood-2019-121907

Published: 2019

Journal Articles

Next Generation Sequencing and Microrna Assay in a Cohort of Patients Affected By Myelodysplastic Syndromes. an Analysis of Clinical and Genotypic Features

Daniele Avenoso, MD, Margherita Squillario, Annalisa Barla, Alessandro Verri, Enrico Carminati, Clara Nurra, Elisabetta Todisco, MD PhD, Federica Gigli, MD, Giuliana Gregato, Claudia Poletti, Francesco Bertolini, MD PhD, Ghulam J. Mufti, MBBS, FRCP, FRCPath, DM, Mili Shah, FRCPath, Maurizio Miglino

Blood (2019) 134 (Supplement_1): 5414.

https://doi.org/10.1182/blood-2019-130153

Published: 2019

Journal Articles

Reinforcement Learning to Optimize the Treatment of Multiple Myeloma

Kenneth H. Shain, MD PhD, Daniel Hart, Ariosto Siqueira Silva, PhD, Raghunandanreddy Alugubelli, MS, Gabriel De Avila, BS, Praneeth Reddy Sudalagunta, PhD, Alexandre Tungesvik, MD, Amit Kulkarni, PhD, Carmelo Blancuicett, PhD MD, Hongyue Dai, PhD, Taiga Nishihori, MD, Jason B. Brayer, PhDMD, Brandon Blue, MD, Melissa Alsina, MD, Rachid Baz, MD, William S. Dalton, PhDMD

Blood (2019) 134 (Supplement_1): 5511.

https://doi.org/10.1182/blood-2019-132234

Published: 2019

Journal Articles

Machine Learning Approach Identifies Independent Prognostic Value of Flow Cytometry (FCM) in Myelodysplastic Syndromes (MDS)

Uta Oelschlaegel, PhD, Kevin Blighe, PhD, Susann Winter, PhD, Katja Sockel, MD, Martin Bornhäuser, MD, Shahram Kordasti, MD PhD, Uwe Platzbecker

Blood (2019) 134 (Supplement_1): 4251.

https://doi.org/10.1182/blood-2019-128042

Published: 2019

Journal Articles

Reconstruction of Human AML Reveals Stem Cell Origin and Therapeutic Targets for Treatment Resistant CD34 -/Lo MLL-Rearranged Leukemia

Tsz Kan Fung, Bernd Zeisig, Magdalena Zarowiecki, Huacheng Luo, Chiou Tsun Tsai, Boban Stanojevic, Claire Lynn, Anskar Y.-H. Leung, MD PhD, Jan Zuna, Marketa Zaliova, MD PhD, Martin Bornhaeuser, MD, Malte Von Bonin, Boris Lenhard, Suming Huang, PhD, Ghulam J. Mufti, Chi Wai Eric So

Blood (2019) 134 (Supplement_1): 3203.

https://doi.org/10.1182/blood-2019-125078

Published: 2019

Journal Articles

Establishment of a Predictive Model of GvHD-Free, Relapse-Free Survival after Allogeneic Hematopoietic Stem Cell Transplantation Using a Machine Learning Algorithm

Blood (2019) 134 (Supplement_1): 3337.

https://doi.org/10.1182/blood-2019-123241

Published: 2019

Journal Articles

Identification of Tractable Drug-like eIF4Al Inhibitors with Potent Anti-Tumor Activity

Tyler A. Cunningham, BS, Derek Essegian, BS, MS, Stephan Schürer, PhD, Jonathan H. Schatz, MD

Blood (2019) 134 (Supplement_1): 5760.

https://doi.org/10.1182/blood-2019-130494

Published: 2019

Journal Articles

Diagnostic Predictive Model for Diagnosis of Heart Failure after Hematopoietic Cell Transplantation (HCT): Comparison of Traditional Statistical with Machine Learning Modeling

Benjamin Djulbegovic, MD, Jennifer Berano Teh, Lennie Wong, PhD, Iztok Hozo, PhD, Saro H. Armenian, DO, MPH

Blood (2019) 134 (Supplement_1): 5799.

https://doi.org/10.1182/blood-2019-130764

Published: 2019

NARROW

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

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

Supervised Machine Learning Algorithms Using Patient Related Factors to Predict in-Hospital Mortality Following Acute Myeloid Leukemia Therapy

Tropomyosin 1 Genetically Constrains in Vitro Megakaryopoiesis

Stringent Small Molecule Dose Requirements for the Optimal Expansion of Hematopoietic Stem Cells Revealed By Predictive Analytics and Xenotransplants

A Novel Machine Learning Derived Genomics-Based Scoring System Is Highly Predictive of Outcome in Core Binding Factor Acute Myeloid Leukemia

PreVent-ACaLL Short-term combined acalabrutinib and venetoclax treatment of newly diagnosed patients with CLL at high risk of infection and/or early treatment, who do not fulfil IWCLL treatment criteria for treatment. A randomized study with extensive immune phenotyping

Next Generation Sequencing and Microrna Assay in a Cohort of Patients Affected By Myelodysplastic Syndromes. an Analysis of Clinical and Genotypic Features

Reinforcement Learning to Optimize the Treatment of Multiple Myeloma

Machine Learning Approach Identifies Independent Prognostic Value of Flow Cytometry (FCM) in Myelodysplastic Syndromes (MDS)

Reconstruction of Human AML Reveals Stem Cell Origin and Therapeutic Targets for Treatment Resistant CD34 -/Lo MLL-Rearranged Leukemia

Establishment of a Predictive Model of GvHD-Free, Relapse-Free Survival after Allogeneic Hematopoietic Stem Cell Transplantation Using a Machine Learning Algorithm

Identification of Tractable Drug-like eIF4Al Inhibitors with Potent Anti-Tumor Activity

Diagnostic Predictive Model for Diagnosis of Heart Failure after Hematopoietic Cell Transplantation (HCT): Comparison of Traditional Statistical with Machine Learning Modeling

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American Society of Hematology

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ASH Publications

American Society of Hematology

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