Taebum Lee

10PUBLICATIONS
71CO-AUTHORS
Deep learningCancer therapy (excl. chemotherapy and radiation therapy)Predictive and prognostic markersApplied immunology (incl. antibody engineering, xenotransplantation and t-cell therapies)Tumour immunology
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Publications (10)

|Nov 10, 2025
Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung Cancer.

Jongchan Park, Sangwon Shin, Woochan Hwang

|Oct 18, 2024
Phase 2 trial of avelumab in combination with gemcitabine in advanced leiomyosarcoma as a second-line treatment (EAGLES, Korean Cancer Study Group UN18-09).

Miso Kim, Yu Jung Kim, Koung Jin Suh

|Oct 16, 2024
Tumor Immune Microenvironment Biomarkers for Recurrence Prediction in Locally Advanced Rectal Cancer Patients after Neoadjuvant Chemoradiotherapy.

Jun-Eul Hwang, Sung-Sun Kim, Hyun-Jin Bang

|Aug 16, 2024
Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as a Potential Biomarker for Immune Checkpoint Inhibitors in Patients with Biliary Tract Cancer.

Yeong Hak Bang, Choong-Kun Lee, Kyunghye Bang

|Aug 30, 2023
Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer.

Sangjoon Choi, Soo Ick Cho, Wonkyung Jung

|Jul 25, 2023
Gastrointestinal AA Amyloidosis following Recurrent SARS-CoV-2 Infection: A Case Report.

Hyung-Min Park, Seon-Young Park, Soo Jin Na Choi

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Frequent Collaborators

3 joint publications

Chan-Young Ock

2 joint publications

Jong Eun Lee

2 joint publications

Chang Ho Ahn

2 joint publications

Won Gi Jeong