Surface Engineered Vacuole-Based Daunorubicin Delivery System for Acute Myeloid Leukemia (AML) Treatment and their Immunological Effects

Wooil CHOI ,  Jiho MIN

한국생물공학회 학술대회

2022 .09

Development of Selective Therapeutics Based on Vacuole Drug Delivery System for Effective Acute Myeloid Leukemia (AML) Therapy

Wooil CHOI ,  Yang-Hoon KIM ,  Jiho MIN

한국생물공학회 학술대회

2020 .10

Heme Oxygenase 1-targeted Drug Delivery Systems for Acute Myeloid Leukemia Therapy

Yong-Hee Kim

한국고분자학회 학술대회 연구논문 초록집

2020 .10

Effectiveness of Decitabine Treatment during Chemotherapy depends on Complex Interaction among Multiple RNA Binding Proteins

Mina KIM ,  Youngsuk KU ,  Young-ki LEE

한국생물공학회 학술대회

2018 .04

Encapsulation of Daunorubicin into Yeast-Derived Lysosomes as Drug Delivery vehicles for Acute Myeloid Leukemia (AML) Treatment

Wooil CHOI ,  Mi Young HEO ,  Yang-Hoon KIM 외 1명

한국생물공학회 학술대회

2019 .04

Label-free Classification of Acute Myeloid Leukemia Cells Through Optical Diffraction Tomography and Deep Learning

Young Seo KIM ,  Yong-ki LEE ,  DongHun RYU 외 2명

한국생물공학회 학술대회

2021 .04

Classification of Leukemia Disease in Per ipheral Blood Cell Images Using Convolutional Neur al Network

Thanh T ,  an ,  Jin-Hyuk Pa 외 5명

멀티미디어학회논문지

2018 .10

Analysis of Synergy Between Rabacfosadine and Chemotherapeutic Drugs Based on ex vivo Drug Sensitivity Assaying

Goeun CHOI ,  Seunghyeok HAM ,  Sesun PARK 외 4명

한국생물공학회 학술대회

2024 .09

Ex vivo Drug Sensitivity Tests of Drug Combinations in Non-Hodgkin Lymphoma

Nahee KO ,  Seunghyeok HAM ,  Seongjun LEE 외 8명

한국생물공학회 학술대회

2024 .09

A Deep Learning Method for Prediction of Drug-Drug and Drug-Food Interactions

Jae Yong RYU ,  Hyun Uk KIM ,  Changdai GU 외 1명

한국생물공학회 학술대회

2019 .10

A machine learning-based system to assist the selection of the optimal Tyrosine Kinase Inhibitor for Chronic Myeloid Leukemia patients

Jaeho Kim ,  Yejin Kim ,  Sahee Pa 외 4명

대한산업공학회 춘계공동학술대회 논문집

2022 .06

Prediction of drug-drug and drug-food interactions using deep learning methods

Changdai GU ,  Jae Yong RYU ,  Hyun Uk KIM 외 1명

한국생물공학회 학술대회

2018 .10

Deep Learning Enables Prediction of Drug-drug and Drug-food Interactions

Jae Yong RYU ,  Hyun Uk KIM ,  Gi Bae KIM 외 1명

한국생물공학회 학술대회

2020 .06

GraphCN-Synergy: A graph convolutional based predictor for drug synergy effect

Waleed Alam ,  Kil To Chong

대한전기학회 학술대회 논문집

2021 .10

약물 정보 문서 임베딩을 이용한 딥러닝 기반 약물 간 상호작용 예측

정선우 ,  유선용

한국정보통신학회 종합학술대회 논문집

2022 .05

임상적 의사결정지원시스템에서 순차신경망 분류기를 이용한 급성백혈병 분류기법

임선자 ,  이반빈센트 ,  권기룡 외 1명

멀티미디어학회논문지

2020 .02

Using the Interaction Between Staufen 1 and ncRNAs to Predict DNMTis Sensitivity in Individual AML Patients

Yongsuk KU ,  Joo-Hwan PARK ,  Ryeongeun CHO 외 14명

한국생물공학회 학술대회

2021 .04

Patient Drug Database: 환자 생성 건강 데이터를 활용한 환자 주도적 약물 부작용 탐색을 위한 데이터베이스 구축

이상민 ,  이수현 ,  김종엽

보건정보통계학회지

2021 .08