Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

Assoc. Prof. Dr. Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

National Taiwan University Cancer Center, Taiwan

Author Profiles

Orcid

🎓 Academic and Professional Background

Dr. Ko earned his Medical Degree from NTUCM in 1995 and later completed his PhD in Clinical Medicine from the same institution. He has held prestigious leadership roles, including President of the Taiwan Society of Blood and Marrow Transplantation (2019–2022) and President of the Taiwan Society of Pharmacoeconomics and Outcome Research (2018–2023). He is also a member of the Executive Committee of the Asian-Pacific Blood and Marrow Transplantation (APBMT) Group, and currently presides over the Hematology Society of Taiwan (HST).

🏥 Designation and Institution

Assoc. Prof. Dr. Bor-Sheng Ko serves as the Director of the Department of Hematological Oncology at the National Taiwan University Cancer Center, Taiwan. He also holds dual roles as Director of the Tai-Cheng Cell Therapy Center and Associate Professor at the National Taiwan University College of Medicine (NTUCM).

🌍 Professional Memberships

Dr. Ko is actively engaged in numerous professional societies, including the Taiwan Society of Internal Medicine, Hematology Society of Taiwan, Taiwan Society of Blood and Marrow Transplantation, American Hematology Society, European Hematology Association, Asian-Pacific Bone and Marrow Transplantation Group, International Society of Pharmacoeconomics and Outcome Research, International Society of Cell Therapy, and the European Blood and Marrow Transplantation Group.

🔬 Areas of Research

Dr. Ko’s research spans hematology, hematopoietic stem cell transplantation (HSCT), pharmaco-economics, and the application of machine learning and deep learning in data science for clinical use. His interdisciplinary focus bridges traditional clinical research with cutting-edge computational methods.

📈 Research Contributions

Dr. Ko is a prominent figure in the study of hematopoietic diseases, particularly leukemia, lymphoma, and HSCT. He has recently led projects on medical databank development, big data analysis, and the integration of AI technologies—including machine learning and deep learning algorithms—into healthcare settings. A dedicated academic, Dr. Ko has published extensively in high-impact international journals, significantly advancing research in his fields of expertise.

Notable Publications📝


📝Recommendations for the treatment and management of adult B‐Cell acute lymphoblastic leukemia in Asia‐Pacific: Outcomes from a pilot initiative

Author: Zhentang Lao; Kwong Yok Lam; Yuk Man Carol Cheung; Chieh‐Lin Teng; Vivek Radhakrishnan; Dinesh Bhurani; Bor‐Sheng Ko; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2024


📝Pooled analysis of pralatrexate single-agent studies in patients with relapsed/refractory peripheral T-cell lymphoma

Author: Owen A. O’Connor; Bor-Sheng Ko; Ming-Chung Wang; Dai Maruyama; Yuqin Song; Ee-Min Yeoh; Nick Manamley; Kensei Tobinai

Journal: Blood Advances

Year: 2024


📝Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region

Author: Zhentang Lao; Eric Wai Choi Tse; Suporn Chuncharunee; Yok Lam Kwong; Andrew Wei; Bor Sheng Ko; Jin Seok Kim; Soo Chin Ng; Jianxiang Wang; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2023


📝A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification

Author: Jeng-Lin Li; Yun-Chun Lin; Yu-Fen Wang; Sara A. Monaghan; Bor-Sheng Ko; Chi-Chun Lee

Journal: IEEE Journal of Biomedical and Health Informatics

Year: 2022


📝Iptacopan monotherapy in patients with paroxysmal nocturnal hemoglobinuria: a 2-cohort open-label proof-of-concept study

Author: Jun Ho Jang; Lily Wong; Bor-Sheng Ko; Sung-Soo Yoon; Katie Li; Irina Baltcheva; Prasanna Kumar Nidamarthy; Raghav Chawla; Guido Junge; Eng Soo Yap

Journal: Blood Advances

Year: 2022

Prof Dr. Guoping Yan | Biomedical Imaging | Best Researcher Award

Structural reconstruction synthesis of highly luminous water-stable CsPbBr3@CsPb2Br5@DSPE core-shell perovskite nanocrystals for bioimaging, pattering, and LEDs

  • Author: Jiejun Ren, Longyun Liu, Fan Liu, Guoping Yan, Yuhua Wang
    Journal: Journal of Materials Science and Technology
    Year: 2025

Synthesis and property of 1,1,3,3-tetramethylisoindolin-2-yloxyl-containing polythiophene

  • Author: Fan Liu, Yanchun Shen, Guoping Yan
    Journal: Journal of Alloys and Compounds
    Year: 2025

Lead-Doped Cesium Manganese Halide Perovskite Nanocrystals for Light-Emitting Diodes: Room-Temperature Synthesis, Energy Transfer, and Phase Modulating

  • Author: Jiejun Ren, Longyun Liu, Huiping Liu, Guoping Yan, Yuhua Wang
    Journal: ACS Materials Letters
    Year: 2025

Carbonic Anhydrase IX Targeted Polyaspartamide Fluorescent Probes for Tumor Imaging

  • Author: Yu Zhang, Fan Liu, Chuntao Shao, Jun Huang, Guoping Yan
    Journal: International Journal of Nanomedicine
    Year: 2025

Synthesis and Characterization of Sulfonamide-Containing Naphthalimides as Fluorescent Probes

  • Author: Zhiwei Liu, Fan Liu, Chuntao Shao, Guoping Yan, Jiangyu Wu
    Journal: Molecules
    Year: 2024

Dr. Jianqi Yan | Medical Image Analysis | Best Researcher Award

Dr. Jianqi Yan, Medical Image Analysis, Best Researcher Award

Doctorate at Macau University of Science and Technology, Macau

Professional Profile

🌟 Summary:

Dr. Jianqi Yan is a dedicated researcher and scientist currently pursuing a Doctor of Science degree at Macau University of Science and Technology. He completed his Master’s in Applied Mathematics and Data Science from the same institution in 2021.

🎓 Education:

  • Master of Applied Mathematics and Data Science, Macau University of Science and Technology, 2019.09-2021.07
  • Doctor of Science (in progress), Macau University of Science and Technology, 2021.09-Present

Academic Project Experience:

  • Improving the Performance of High Resolution Spectrogram Classification using Generative Adversarial Networks (GAN), 2020.06-2022.06
  • Predictions of the Magnetocaloric Performance in Mn-Fe-P-Si Compounds using Machine Learning, 2020.07-2022.03
  • Autoregressive Search of Gravitational Waves (GWs), 2022.06 – 2024.02

Industry Project Experience:

  • Enhanced Object Detection in Bronchoscopy Images, 2022.01- Present, R&D department, Quanbao Technologies Co. Ltd
  • Artificial Intelligence Based Recognition of Hysteromyoma, 2023.01- Present, R&D department, Kaiyun Technologies Co. Ltd
  • Artificial Intelligence Based Recognition of Middle ear structure, 2023.03- Present, R&D department, Kaiyun Technologies Co. Ltd

📖 Publications Top Noted:

Paper Title: Autoregressive search of gravitational waves: Denoising
  • Authors: Kim, S.; Hui, C.Y.; Yan, J.; Lin, L.C.-C.; Li, K.-L.
  • Journal: Physical Review D
  • Volume: 109
  • Issue: 10
  • Pages: 102003
  • Year: 2024
Paper Title: On improving the performance of glitch classification for gravitational wave detection by using Generative Adversarial Networks
  • Authors: Yan, J.; Leung, A.P.; Hui, C.Y.
  • Journal: Monthly Notices of the Royal Astronomical Society
  • Volume: 515
  • Pages: 4606-4621
  • Issue: 3
  • Year: 2022
  • Citations: 5
Paper Title: Accelerated design for magnetocaloric performance in Mn-Fe-P-Si compounds using machine learning
  • Authors: Tu, D.; Yan, J.; Xie, Y.; Li, J.; Leung, A.P.
  • Journal: Journal of Materials Science and Technology
  • Volume: 96
  • Pages: 241-247
  • Year: 2022
  • Citations: 16