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Cancer Informatics
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October 18, 2024
Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model
Lujun Shen, Yiquan Jiang, Tao Zhang, et al.
Cell
|
January 24, 2025
Rational multienzyme architecture design with iMARS
Jiawei Wang, Xingyu Ouyang, Shiyu Meng, et al.
Artificial Intelligence in Medicine
|
September 16, 2019
A deep survival analysis method based on ranking
Bingzhong Jing, Tao Zhang, Zixian Wang, et al.
Frontiers in Pharmacology
|
February 25, 2022
Lipidomics Indicates the Hepatotoxicity Effects of EtOAc Extract of <i>Rhizoma Paridis</i>
Chaofeng Li, Mingshuang Wang, Tingting Fu, et al.
Translational Psychiatry
|
August 2, 2020
Epidemiology of mental health problems among patients with cancer during COVID-19 pandemic
Yuanyuan Wang, Zhizhou Duan, Zikun Ma, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|
March 25, 2025
Establishment of a deep-learning-assisted recurrent nasopharyngeal carcinoma detecting simultaneous tactic (DARNDEST) with high cost-effectiveness based on magnetic resonance images: a multicenter study in an endemic area
Yishu Deng, Yingying Huang, Haijun Wu, et al.
Iscience
|
March 10, 2025
Serum-biomarker-based population screening model for hepatocellular carcinoma
Wenmin Liao, Wenbin Lin, Zhonglian He, et al.
Nature Communications
|
June 10, 2018
Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data
Lujun Shen, Qi Zeng, Pi Guo, et al.
The New Phytologist
|
February 3, 2021
The microRNA476a-RFL module regulates adventitious root formation through a mitochondria-dependent pathway in Populus
Changzheng Xu, Yuanxun Tao, Xiaokang Fu, et al.
European Journal of Radiology
|
September 18, 2023
Deep learning-based recurrence detector on magnetic resonance scans in nasopharyngeal carcinoma: A multicenter study
Yishu Deng, Yingying Huang, Bingzhong Jing, et al.
Page
of 16
Search research articles
Search
Showing results (131-140 of 152) with videos related to
Sort By:
Page
of 16
Cancer Informatics
|
October 18, 2024
Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model
Lujun Shen, Yiquan Jiang, Tao Zhang, et al.
Cell
|
January 24, 2025
Rational multienzyme architecture design with iMARS
Jiawei Wang, Xingyu Ouyang, Shiyu Meng, et al.
Artificial Intelligence in Medicine
|
September 16, 2019
A deep survival analysis method based on ranking
Bingzhong Jing, Tao Zhang, Zixian Wang, et al.
Frontiers in Pharmacology
|
February 25, 2022
Lipidomics Indicates the Hepatotoxicity Effects of EtOAc Extract of <i>Rhizoma Paridis</i>
Chaofeng Li, Mingshuang Wang, Tingting Fu, et al.
Translational Psychiatry
|
August 2, 2020
Epidemiology of mental health problems among patients with cancer during COVID-19 pandemic
Yuanyuan Wang, Zhizhou Duan, Zikun Ma, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|
March 25, 2025
Establishment of a deep-learning-assisted recurrent nasopharyngeal carcinoma detecting simultaneous tactic (DARNDEST) with high cost-effectiveness based on magnetic resonance images: a multicenter study in an endemic area
Yishu Deng, Yingying Huang, Haijun Wu, et al.
Iscience
|
March 10, 2025
Serum-biomarker-based population screening model for hepatocellular carcinoma
Wenmin Liao, Wenbin Lin, Zhonglian He, et al.
Nature Communications
|
June 10, 2018
Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data
Lujun Shen, Qi Zeng, Pi Guo, et al.
The New Phytologist
|
February 3, 2021
The microRNA476a-RFL module regulates adventitious root formation through a mitochondria-dependent pathway in Populus
Changzheng Xu, Yuanxun Tao, Xiaokang Fu, et al.
European Journal of Radiology
|
September 18, 2023
Deep learning-based recurrence detector on magnetic resonance scans in nasopharyngeal carcinoma: A multicenter study
Yishu Deng, Yingying Huang, Bingzhong Jing, et al.
Page
of 16