Tailored chemotherapy: Innovative deep-learning model customizing chemotherapy for high-grade serous ovarian carcinoma
Clin Transl Med
.
2024 Sep;14(9):e1774.
doi: 10.1002/ctm2.1774.
Authors
Se Ik Kim
1
,
Sangick Park
2
,
Eunyong Ahn
3
,
Jeunhui Kim
2
,
HyunA Jo
4
5
,
Juwon Lee
4
5
,
Untack Cho
4
6
,
Maria Lee
1
,
Cheol Lee
7
,
Danny N Dhanasekaran
8
,
Taejin Ahn
3
9
,
Yong Sang Song
10
Affiliations
1
Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, South Korea.
2
Department of Advanced Green Energy and Environment, Handong Global University, Pohang, South Korea.
3
Research Group, Foretell My Health, Pohang, South Korea.
4
Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
5
Department of Agricultural Biotechnology, WCU Biomodulation, Seoul National University, Seoul, South Korea.
6
Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, South Korea.
7
Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.
8
Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
9
Department of Life Science, Handong Global University, Pohang, South Korea.
10
Department of Obstetrics and Gynaecology, Myongji Hospital, Hanyang University College of Medicine, Goyang, South Korea.
PMID:
39243150
PMCID:
PMC11380048
DOI:
10.1002/ctm2.1774
No abstract available
Publication types
Letter
MeSH terms
Antineoplastic Agents / therapeutic use
Cystadenocarcinoma, Serous / drug therapy
Cystadenocarcinoma, Serous / pathology
Deep Learning*
Female
Humans
Ovarian Neoplasms* / drug therapy
Precision Medicine / methods
Substances
Antineoplastic Agents
Grants and funding
Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI)
HI16C2037/Republic of Korea
2019R1C1C1008185/Korean National Research Foundation