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Journal Articles

Machine Learning-Facilitated Cross-Panel Automatic Classification at Both Sample and Cell Level in Acute Myeloid Leukemia

Yu-Fen Wang, Guo-Hung Li, Joseph R. Hanson, Joseph D. Tario Jr, Sara A. Monaghan, Bor-Sheng Ko, Paul K. Wallace, Kai Fu, Yu Qian

Blood (2023) 142 (Supplement 1): 5019.

https://doi.org/10.1182/blood-2023-186683

Published: 2023

Journal Articles

Prognostic Prediction with Static-Dynamic Clinical and Pathological Parameters By Machine Learning Algorithm in Acute Lymphoblastic Leukemia

Bor-Sheng Ko, MD PhD, Yu-Fen Wang, MS, Jeng-Lin Li, BS, Hsin-An Hou, Wen-Chien Chou, MD PhD, Hwei-Fang Tien, MD, PhD, Ting-Yu Chang, M.S., Chi-Chun Lee, PhD

Blood (2020) 136 (Supplement 1): 1.

https://doi.org/10.1182/blood-2020-139766

Published: 2020

Journal Articles

Accurate Prediction of Gene Mutations with Flow Cytometry Immune-Phenotyping By Machine Learning Algorithm

Bor-Sheng Ko, MD PhD, Yu-Fen Wang, MS, Jeng-Lin Li, BS, Hsin-An Hou, Wen-Chien Chou, MD PhD, Hwei-Fang Tien, MD, PhD, Ting-Yu Chang, M.S., Chi-Chun Lee, PhD

Blood (2020) 136 (Supplement 1): 7–8.

https://doi.org/10.1182/blood-2020-139623

Published: 2020

Journal Articles

Relapse and Mortality Prediction of Acute Myeloid Leukemia Patients Using Deep Bidirectional Long Short-Term Memory-Deep Neural Network Architecture

Bor-Sheng Ko, MD PhD, Yu-Fen Wang, MS, Chih-Chuan Lu, B.S., Jeng-Lin Li, BS, Chi-Chun Lee, PhD, Jih-Luh Tang, MD, Hwei-Fang Tien, MD, PhD

Blood (2018) 132 (Supplement 1): 2811.

https://doi.org/10.1182/blood-2018-99-115778

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

Machine Learning-Facilitated Cross-Panel Automatic Classification at Both Sample and Cell Level in Acute Myeloid Leukemia

Prognostic Prediction with Static-Dynamic Clinical and Pathological Parameters By Machine Learning Algorithm in Acute Lymphoblastic Leukemia

Accurate Prediction of Gene Mutations with Flow Cytometry Immune-Phenotyping By Machine Learning Algorithm

Relapse and Mortality Prediction of Acute Myeloid Leukemia Patients Using Deep Bidirectional Long Short-Term Memory-Deep Neural Network Architecture

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

Machine Learning-Facilitated Cross-Panel Automatic Classification at Both Sample and Cell Level in Acute Myeloid Leukemia

Prognostic Prediction with Static-Dynamic Clinical and Pathological Parameters By Machine Learning Algorithm in Acute Lymphoblastic Leukemia

Accurate Prediction of Gene Mutations with Flow Cytometry Immune-Phenotyping By Machine Learning Algorithm

Relapse and Mortality Prediction of Acute Myeloid Leukemia Patients Using Deep Bidirectional Long Short-Term Memory-Deep Neural Network Architecture

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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