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Chinese Medical Journal Pulmonary and Critical Care Medicine
|
August 22, 2024
Asian, regional, and national burdens of respiratory tract cancers and associated risk factors from 1990 to 2019: A systematic analysis for the global burden of disease study 2019
Ran Zhong, Xiuyu Cai, Jianfu Li, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 9, 2024
The impact of PET/CT and brain MRI for metastasis detection among patients with clinical T1-category lung cancer: Findings from a large-scale cohort study
Yi Feng, Bo Cheng, Shuting Zhan, et al.
BMJ Open Respiratory Research
|
December 4, 2024
Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC
Peiling Chen, Xin Zheng, Caichen Li, et al.
The Lancet Regional Health. Western Pacific
|
December 1, 2025
Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study (DECIPHER-NODL)
Huiting Wang, Hairong Huang, Feng Li, et al.
Neoplasia (New York, N.Y.)
|
June 8, 2024
Spatial whole exome sequencing reveals the genetic features of highly-aggressive components in lung adenocarcinoma
Jianfu Li, Shan Xiong, Ping He, et al.
Journal of Cancer Research and Clinical Oncology
|
February 22, 2023
Risk mapping of lung cancer: a comprehensive appraisal of published meta-analyses incorporating Mendelian randomization studies
Caichen Li, Jianfu Li, Shan Xiong, et al.
The Lancet. Oncology
|
December 9, 2024
Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study
Yu Zhao, Shan Xiong, Qin Ren, et al.
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Showing results (111-120 of 117) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 117 results.
Chinese Medical Journal Pulmonary and Critical Care Medicine
|
August 22, 2024
Asian, regional, and national burdens of respiratory tract cancers and associated risk factors from 1990 to 2019: A systematic analysis for the global burden of disease study 2019
Ran Zhong, Xiuyu Cai, Jianfu Li, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 9, 2024
The impact of PET/CT and brain MRI for metastasis detection among patients with clinical T1-category lung cancer: Findings from a large-scale cohort study
Yi Feng, Bo Cheng, Shuting Zhan, et al.
BMJ Open Respiratory Research
|
December 4, 2024
Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC
Peiling Chen, Xin Zheng, Caichen Li, et al.
The Lancet Regional Health. Western Pacific
|
December 1, 2025
Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study (DECIPHER-NODL)
Huiting Wang, Hairong Huang, Feng Li, et al.
Neoplasia (New York, N.Y.)
|
June 8, 2024
Spatial whole exome sequencing reveals the genetic features of highly-aggressive components in lung adenocarcinoma
Jianfu Li, Shan Xiong, Ping He, et al.
Journal of Cancer Research and Clinical Oncology
|
February 22, 2023
Risk mapping of lung cancer: a comprehensive appraisal of published meta-analyses incorporating Mendelian randomization studies
Caichen Li, Jianfu Li, Shan Xiong, et al.
The Lancet. Oncology
|
December 9, 2024
Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study
Yu Zhao, Shan Xiong, Qin Ren, et al.
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