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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

Prediction of High-Risk Group of Primary Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Patients Using a CT-Based Radiomics Model with Machine Learning

Raoul Santiago, MDMSc, Johanna Ortiz Jimenez, MD, Reza Forghani, MD PhD, Nikesh Muthukrishnan, MEng, Olivier Del Corpo, BSC, MSc, Shairabi Karthigesu, Muhammad Yahya Haider, Caroline Reinhold, MD MSc, Sarit Assouline, MD

Blood (2019) 134 (Supplement_1): 4136.

https://doi.org/10.1182/blood-2019-126745

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.

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

Published: 2019

Journal Articles

Molecular Classification of AML-MRC Reveals a Distinct Profile and Identifies MRC-like Patients with Poor Overall Survival

Constance Baer, PhD, Wencke Walter, PhD, Anna Stengel, PhD, Stephan Hutter, PhD, Manja Meggendorfer, PhD, Wolfgang Kern, MD, Claudia Haferlach, MD, Torsten Haferlach, MD

Blood (2019) 134 (Supplement_1): 2735.

https://doi.org/10.1182/blood-2019-128234

Published: 2019

Journal Articles

Induction Related Mortality in Acute Myeloid Leukemia: Multivariate Model of Predictive Score from the Indian Acute Leukemia Research Database (INwARD) of the Hematology Cancer Consortium (HCC)

Blood (2019) 134 (Supplement_1): 2615.

https://doi.org/10.1182/blood-2019-127623

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

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.

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

Published: 2019

Journal Articles

A Machine Learning Approach Identifies a 30-Gene Model That Predicts Sensitivity to Selinexor in Multiple Myeloma

Alessandro Lagana, PhD, Sherry Bhalla, Adolfo Aleman, Anna Huo-Chang Mei, MS, Violetta Leshchenko, PhD, Yosef Landesman, PhD, David Melnekoff, BS,MS, Itai Beno, PhD, Deepu Madduri, MD, Joshua R Richter, MD, Ajai Chari, MD, Hearn Jay Cho, MD PhD, Sundar Jagannath, MD, Joel Dudley, PhD, Samir Parekh, MD

Blood (2019) 134 (Supplement_1): 3101.

https://doi.org/10.1182/blood-2019-130753

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

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.

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

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.

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

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

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

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.

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.

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.

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

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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

Prediction of High-Risk Group of Primary Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Patients Using a CT-Based Radiomics Model with Machine Learning

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

Molecular Classification of AML-MRC Reveals a Distinct Profile and Identifies MRC-like Patients with Poor Overall Survival

Induction Related Mortality in Acute Myeloid Leukemia: Multivariate Model of Predictive Score from the Indian Acute Leukemia Research Database (INwARD) of the Hematology Cancer Consortium (HCC)

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

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

A Machine Learning Approach Identifies a 30-Gene Model That Predicts Sensitivity to Selinexor in Multiple Myeloma

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

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

Hemostasis, Hematoma Expansion, and Outcomes after Intracerebral Hemorrhage

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

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

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