Peer-Reviewed

Publications

Explore peer-reviewed publications highlighting our contributions and clinical research across hematology and oncology.

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3.5M+

Over 3.5 million human oncology and hematology patient records advancing precision medicine

500+

Comprehensive ex vivo drug-sensitivity data from 500+ patient samples

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Therapeutic Areas

Featured Publications: AML

Scientific Publications

Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in acute myeloid leukemia

Biotechnology and Bioprocess Engineering
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Presentations
ASH

Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in AML primary samples

67th ASH Annual Meeting and Exposition
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Presentations
ASH Logo

Ex vivo drug sensitivity testing in Korean AML patients: Integration of functional and genomic profiles for predicting clinical response and survival

67th ASH Annual Meeting and Exposition
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Also in the spotlight

Scientific Publications

Quantitative ex vivo assessment of chemotherapy synergy using patient-derived non-Hodgkin lymphoma samples

Biotechnology and Bioprocess Engineering
Non-Hodgkin Lymphoma
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Scientific Publications
JCO Clinical Cancer Informatics Logo

Predicting Chemotherapy Response in Patients With Advanced or Metastatic Pancreatic Cancer Using Machine Learning

JCO Clinical Cancer Informatics
Pancreatic Cancer
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Scientific Publications
npj Precision Oncology logo

ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma

npj Precision Oncology
Multiple Myeloma
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By Indication (Human)

Biotechnology and Bioprocess Engineering
Jan 2026

Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in acute myeloid leukemia

Sujin Namgoong, Seunghyeok Ham, George Courcoubetis, Josephine Tsang, Hyoju Yi, Sungwon Lim, Jamin Koo
Acute Myeloid Leukemia
DOI 🡭
Biotechnology and Bioprocess Engineering
Jan 2026

Quantitative ex vivo assessment of chemotherapy synergy using patient-derived non-Hodgkin lymphoma samples

Ji Won Kim, Nahee Ko, Seunghyeok Ham, George Courcoubetis, Myung Woul Han, Yongcheol Ahn, Hyoju Yi, Sungwon Lim, Jong Cheol Lee, Jamin Koo
Non-Hodgkin Lymphoma
DOI 🡭
67th ASH Annual Meeting and Exposition
Dec 2025

Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in AML primary samples

Sung-Soo Park, Sujin Namgoong, Seunghyeok Ham, George Courcoubetis, Hyoju Yi, Sungwon Lim, Jae-Ho Yoon, Jamin Koo
Acute Myeloid Leukemia
DOI 🡭
67th ASH Annual Meeting and Exposition
Dec 2025

Ex vivo drug sensitivity testing in Korean AML patients: Integration of functional and genomic profiles for predicting clinical response and survival

Daehun Kwag, Hyoju Yi, Seunghyeok Ham, Jiyoung Baek, Sesun Park, Seongjun Lee, George Courcoubetis, Byung-Sik Cho, Sungwon Lim, Heeje Kim, Jamin Koo
Acute Myeloid Leukemia
DOI 🡭
JCO Clinical Cancer Informatics
Dec 2025

Predicting Chemotherapy Response in Patients With Advanced or Metastatic Pancreatic Cancer Using Machine Learning

Jamin Koo, Gyucheol Choi, Jaekyung Cheon, Changhoon Yoo, George Courcoubetis, Baek-Yeol Ryoo, Kyu-Pyo Kim, Heung-Moon Chang, Ho-Suk Oh, Sungwon Lim, Moonho Kim
Pancreatic Cancer
DOI 🡭
AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals
Mar 2025

A study on the relationship between ex vivo drug sensitivity and clinical outcome of acute lymphoblastic leukemia

Sung-Soo Park, Sungwon Lim, Seunghyok Ham, Seongjun Lee, Sesun Park, Hyoju Yi, Ilona Holcomb, Seok Lee, Jae-Ho Yoon, Jamin Koo
Acute Lymphoblastic Leukemia
DOI 🡭
Blood Research
Nov 2024

Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers

Haeryung Lee, Nahee Ko, Sujin Namgoong, Seunghyok Ham, Jamin Koo
Acute Lymphoblastic Leukemia
Acute Myeloid Leukemia
Non-Hodgkin Lymphoma
Multiple Myeloma
DOI 🡭
ASCO Breakthrough 2024
Aug 2024

Predicting Chemotherapy Response in Patients With Advanced or Metastatic Pancreatic Cancer Using Machine Learning

Jamin Koo, Gyucheol Choi, Jaekyung Cheon, Changhoon Yoo, George Courcoubetis, Baek-Yeol Ryoo, Kyu-Pyo Kim, Heung-Moon Chang, Ho-Suk Oh, Sungwon Lim, Moonho Kim
Pancreatic Cancer
DOI 🡭
65th ASH Annual Meeting and Exposition
Dec 2023

Prognostic Utility of the Patient-Derived AML Cells' Ex Vivo Drug Sensitivity Results

Silvia Park, Byung-Sik Cho, Sung-Soo Park, Sungwon Lim, Kwan Hyun Kim, Gyucheol Choi, Seunghyok Ham, Seongjun Lee, Sesun Park, Gunjae Lee, Junyoung Lee, Jeonghoon Song, Hee-Je Kim, Jamin Koo
Acute Myeloid Leukemia
DOI 🡭
Haematologica
Sep 2023

Prognostic value of European LeukemiaNet 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia

Silvia Park, Tong Yoon Kim, Byung-Sik Cho, Daehun Kwag, Jong-Mi Lee, Myungshin Kim, Yonggoo Kim, Jamin Koo, Anjali Raman, Tae Kon Kim, Hee-Je Kim
Acute Myeloid Leukemia
DOI 🡭
npj Precision Oncology
May 2023

ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma

Sung-Soo Park, Jong Cheol Lee, Ja Min Byun, Gyucheol Choi, Kwan Hyun Kim, Sungwon Lim, David Dingli, Young-Woo Jeon, Seung-Ah Yahng, Seung-Hwan Shin, Chang-Ki Min, Jamin Koo
Multiple Myeloma
DOI 🡭
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