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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

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

Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations

Markus Vaha-Koskela, PhD, Muhammad Ammad-ud-din, PhD, Kirsi Siivola, MSc, Tanja Ruokoranta, MSc, Laura Turunen, PhD, Kimmo Porkka, MD PhD, Pedro Marques Ramos, PhD, Celine Pallaud, PhD, Tero Aittokallio, PhD, Krister Wennerberg, PhD

Blood (2018) 132 (Supplement 1): 2743.

https://doi.org/10.1182/blood-2018-99-116391

Published: 2018

Journal Articles

Deep Immunoprofiling of the Bone Marrow Microenvironmental Changes Underlying the Multistep Progression of Multiple Myeloma

Mary H Young, PhD, Sam A Danziger, Alison Fitch, Frank Schmitz, MD PhD, Jake Gockley, PhD, Mark McConnell, PhD, David Reiss, PhD, Wilbert B. Copeland, PhD, Sarah K Johnson, PhD, Katie Newhall, PhD, Robert Hershberg, MD PhD, Teri Foy, PhD, Alexander Ratushny, PhD, Brian A Walker, PhD, Andrew Dervan, Gareth Morgan, MD

Blood (2018) 132 (Supplement 1): 243.

https://doi.org/10.1182/blood-2018-99-113042

Published: 2018

Journal Articles

An Artificial Intelligence Approach in Classifying Acute Myeloid Leukemia and Myelodysplastic Syndrome for Minimal Residual Disease Detection with Post Induction Prognosis Analysis Using Flow Cytometry

Bor-Sheng Ko, MD, PhD, Chi-Cheng Li, MD, Yu-Fen Wang, MS, Jeng-Lin Li, BS, Hsin-An Hou, MD, PhD, Pei-Fang Weng, BS, Hwei-Fang Tien, MD, PhD, Chi-Chun Lee, PhD, Jih-Luh Tang, MD,PhD

Blood (2017) 130 (Supplement 1): 1403.

https://doi.org/10.1182/blood.V130.Suppl_1.1403.1403

Published: 2017

Journal Articles

An Artificial Intelligence Approach for B Lymphoblastic Leukemia Minimal Residual Disease Detection and Clinical Prognosis Prediction Using Flow Cytometry Data

Yu-Fen Wang, MS, Bor-Sheng Ko, MD, PhD, Chi-Cheng Li, MD, Jeng-Lin Li, BS, Pei-Fang Weng, BS, Huai-Hsuan Huang, MD, Hsin-An Hou, MD, PhD, Hwei-Fang Tien, MD, PhD, Chi-Chun Lee, PhD, Jih-Luh Tang, MD,PhD

Blood (2017) 130 (Supplement 1): 3980.

https://doi.org/10.1182/blood.V130.Suppl_1.3980.3980

Published: 2017

Journal Articles

An Artificial Intelligence Approach for Predicting Allogeneic Hematopoietic Stem Cell Transplantation Outcome By Detecting Pre-Transplant Minimal Residual Disease in Acute Myeloid Leukemia Using Flow Cytometry Data

Chi-Cheng Li, MD, Bor-Sheng Ko, MD, PhD, Yu-Fen Wang, MS, Jeng-Lin Li, BS, Pei-Fang Weng, BS, Hsin-An Hou, MD, PhD, Xiu-Wen Liao, MS, Chien-Ting Lin, MD, Jia-Hou Liu, MD, Hsun-I Sun, Hwei-Fang Tien, MD, PhD, Chi-Chun Lee, PhD, Jih-Luh Tang, MD,PhD

Blood (2017) 130 (Supplement 1): 2042.

https://doi.org/10.1182/blood.V130.Suppl_1.2042.2042

Published: 2017

NARROW

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

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

Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations

Deep Immunoprofiling of the Bone Marrow Microenvironmental Changes Underlying the Multistep Progression of Multiple Myeloma

An Artificial Intelligence Approach in Classifying Acute Myeloid Leukemia and Myelodysplastic Syndrome for Minimal Residual Disease Detection with Post Induction Prognosis Analysis Using Flow Cytometry

An Artificial Intelligence Approach for B Lymphoblastic Leukemia Minimal Residual Disease Detection and Clinical Prognosis Prediction Using Flow Cytometry Data

An Artificial Intelligence Approach for Predicting Allogeneic Hematopoietic Stem Cell Transplantation Outcome By Detecting Pre-Transplant Minimal Residual Disease in Acute Myeloid Leukemia Using Flow Cytometry Data

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ASH Publications

American Society of Hematology

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

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

Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations

Deep Immunoprofiling of the Bone Marrow Microenvironmental Changes Underlying the Multistep Progression of Multiple Myeloma

An Artificial Intelligence Approach in Classifying Acute Myeloid Leukemia and Myelodysplastic Syndrome for Minimal Residual Disease Detection with Post Induction Prognosis Analysis Using Flow Cytometry

An Artificial Intelligence Approach for B Lymphoblastic Leukemia Minimal Residual Disease Detection and Clinical Prognosis Prediction Using Flow Cytometry Data

An Artificial Intelligence Approach for Predicting Allogeneic Hematopoietic Stem Cell Transplantation Outcome By Detecting Pre-Transplant Minimal Residual Disease in Acute Myeloid Leukemia Using Flow Cytometry Data

Email alerts

ASH Publications

American Society of Hematology

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