[HTML][HTML] Risk factors for predicting mortality of COVID-19 patients: A systematic review and meta-analysis

L Yang, J Jin, W Luo, Y Gan, B Chen, W Li - PloS one, 2020 - journals.plos.org
Background Early and accurate prognosis prediction of the patients was urgently warranted
due to the widespread popularity of COVID-19. We performed a meta-analysis aimed at …

[HTML][HTML] Development and clinical application of radiomics in lung cancer

B Chen, R Zhang, Y Gan, L Yang, W Li - Radiation oncology, 2017 - Springer
Since the discovery of X-rays at the end of the 19 th century, medical imageology has progressed
for 100 years, and medical imaging has become an important auxiliary tool for clinical …

RUNX1: A regulator of NF-κB signaling in pulmonary diseases

X Tang, L Sun, G Wang, B Chen… - Current Protein and …, 2018 - ingentaconnect.com
Runt-related transcription factor 1 (RUNX1), a member of the RUNX family, is one of the key
regulatory proteins in vertebrates. RUNX1 is involved in embryonic development, …

[HTML][HTML] Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study

…, M Xie, Y Wang, X Ma, D Liu, B Chen… - The Lancet Digital …, 2022 - thelancet.com
Background Epidermal growth factor receptor (EGFR) genotype is crucial for treatment
decision making in lung cancer, but it can be affected by tumour heterogeneity and invasive …

A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy

…, Z Liu, Y Cheng, Y Gan, Y Zhou, P Zhou, B Chen… - Clinical Cancer …, 2018 - AACR
Purpose: We established a CT-derived approach to achieve accurate progression-free survival
(PFS) prediction to EGFR tyrosine kinase inhibitors (TKI) therapy in multicenter, stage IV …

[HTML][HTML] Quantitative biomarkers for prediction of epidermal growth factor receptor mutation in non-small cell lung cancer

L Zhang, B Chen, X Liu, J Song, M Fang, C Hu… - Translational …, 2018 - Elsevier
OBJECTIVES: To predict epidermal growth factor receptor (EGFR) mutation status using
quantitative radiomic biomarkers and representative clinical variables. METHODS: The study …

Semi-supervised deep transfer learning for benign-malignant diagnosis of pulmonary nodules in chest CT images

F Shi, B Chen, Q Cao, Y Wei, Q Zhou… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
… (Feng Shi, Bojiang Chen, and Qiqi Cao contributed equally to this work.) (Corresponding …
Bojiang Chen, Rui Zhang, Yaojie Zhou, and Weimin Li are with the Department of Respiratory …

[HTML][HTML] GSK3β overexpression indicates poor prognosis and its inhibition reduces cell proliferation and survival of non-small cell lung cancer cells

J Zeng, D Liu, Z Qiu, Y Huang, B Chen, L Wang, H Xu… - PloS one, 2014 - journals.plos.org
Background Glycogen synthase kinase 3 beta (GSK3β) is centrally involved in diverse
cellular processes, including proliferation and apoptosis. This study aimed to investigate the …

[HTML][HTML] Diagnosis of distant metastasis of lung cancer: based on clinical and radiomic features

H Zhou, D Dong, B Chen, M Fang, Y Cheng, Y Gan… - Translational …, 2018 - Elsevier
OBJECTIVES: To analyze the distant metastasis possibility based on computed tomography
(CT) radiomic features in patients with lung cancer. METHODS: This was a retrospective …

Downregulation of ribosomal protein S6 inhibits the growth of non-small cell lung cancer by inducing cell cycle arrest, rather than apoptosis

B Chen, W Zhang, J Gao, H Chen, L Jiang, D Liu… - Cancer letters, 2014 - Elsevier
Ribosomal protein S6 (rpS6), a component of the small 40S ribosomal subunit, has been
found to be associated with multiple physiological and pathophysiological functions. However, …