Machine learning-based prediction of cancer immunotherapy response using circulating cytokines

被引：0

作者：

Wei, Feifei ^{[1
,2
]}

Azuma, Koichi ^{[3
]}

Nakahara, Yoshiro ^{[4
,5
]}

Saito, Haruhiro ^{[4
]}

Kouro, Taku ^{[1
,2
]}

Himuro, Hidetomo ^{[6
]}

Horaguchi, Shun ^{[1
,2
,7
]}

Tsuji, Kayoko ^{[1
,2
]}

Sasada, Tetsuro ^{[6
]}

机构：

[1] Kanagawa Canc Ctr, Res Inst, Div Canc Immunotherapy, Yokohama, Japan

[2] Kanagawa Canc Ctr, Vaccine & Immunotherapy Ctr, Yokohama, Japan

[3] Kurume Univ, Sch Med, Dept Internal Med, Kurume, Japan

[4] Kanagawa Canc Ctr, Dept Thorac Oncol, Yokohama, Japan

[5] Kitasato Univ, Sch Med, Dept Resp Med, Minato, Japan

[6] Kanagawa Canc Ctr, Dept Canc Immunotherapy, Res Inst, Yokohama, Japan

[7] Nihon Univ, Sch Med, Dept Pediat Surg, Tokyo, Japan

来源：

CANCER SCIENCE | 2023年 / 114卷

关键词：

D O I：

暂无

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

J-2056

引用

页码：1013 / 1013

页数：1

共 50 条

[21] Machine learning-based models for the prediction of breast cancer recurrence risk
Duo Zuo
Lexin Yang
Yu Jin
Huan Qi
Yahui Liu
Li Ren
[J]. BMC Medical Informatics and Decision Making, 23
[22] Machine learning-based prediction of breast cancer growth rate in vivo
Shristi Bhattarai
Sergey Klimov
Mohammed A. Aleskandarany
Helen Burrell
Anthony Wormall
Andrew R. Green
Padmashree Rida
Ian O. Ellis
Remus M. Osan
Emad A. Rakha
Ritu Aneja
[J]. British Journal of Cancer, 2019, 121 : 497 - 504
[23] Machine learning-based prediction model and visual interpretation for prostate cancer
Chen, Gang
Dai, Xuchao
Zhang, Mengqi
Tian, Zhujun
Jin, Xueke
Mei, Kun
Huang, Hong
Wu, Zhigang
[J]. BMC UROLOGY, 2023, 23 (01)
[24] Lifestyle and occupational risks assessment of bladder cancer using machine learning-based prediction models
Shakhssalim, Naser
Talebi, Atefeh
Pahlevan-Fallahy, Mohammad-Taha
Sotoodeh, Kasra
Alavimajd, Hamid
Borumandnia, Nasrin
Taheri, Maryam
[J]. CANCER REPORTS, 2023, 6 (09)
[25] Machine Learning-based BGP Traffic Prediction
Farasat, Talaya
Rathore, Muhammad Ahmad
Khan, Akmal
Kim, JongWon
Posegga, Joachim
[J]. 2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023, 2024, : 1925 - 1934
[26] Machine Learning-based Prediction of Test Power
Dhotre, Harshad
Eggersgluess, Stephan
Chakrabarty, Krishnendu
Drechsler, Rolf
[J]. 2019 IEEE EUROPEAN TEST SYMPOSIUM (ETS), 2019,
[27] Machine Learning-based Water Potability Prediction
Alnaqeb, Reem
Alrashdi, Fatema
Alketbi, Khuloud
Ismail, Heba
[J]. 2022 IEEE/ACS 19TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2022,
[28] Machine learning-based prediction models in neurosurgery
Habashy, Karl J.
Arrieta, Victor A.
Feghali, James
[J]. NEUROSURGICAL FOCUS, 2023, 55 (03)
[29] A MACHINE LEARNING-BASED TOURIST PATH PREDICTION
Zheng, Siwen
Liu, Yu
Ouyang, Zhenchao
[J]. PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016), 2016, : 38 - 42
[30] Prediction of machine learning-based hardness for the polycarbonate using additive manufacturing
Mahmoud, Haitham A.
Shanmugasundar, G.
Vyavahare, Swapnil
Kumar, Rakesh
Cep, Robert
Salunkhe, Sachin
Gawade, Sharad
Nasr, Emad S. Abouel
[J]. FRONTIERS IN MATERIALS, 2024, 11

← 1 2 3 4 5 →