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ASO Author Reflections: Tumor Maximum Area is Better for Representing Tumor Size in Thymic Epithelial Tumors

Annals of surgical oncology, 2021-04, Vol.28 (4), p.2086-2087

2021

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Wastewater analysis reveals spatial pattern in consumption of anti-diabetes drug metformin in China

Chemosphere (Oxford), 2019-05, Vol.222, p.688-695

2019

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Pararespiratory and paradigestive lymph node metastases in esophageal squamous cell carcinoma: predicting survival and refining the N staging system

BMC cancer, 2023-07, Vol.23 (1), p.695-695, Article 695

2023

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Characterization of a sigma class GST (GSTS6) required for cellular detoxification and embryogenesis in Tribolium castaneum

Insect science, 2022-02, Vol.29 (1), p.215-229

2022

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Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study

BMC medical informatics and decision making, 2024-08, Vol.24 (1), p.229-13

2024

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Risk factors for lymph node metastasis in T1 esophageal squamous cell carcinoma: A systematic review and meta-analysis

World journal of gastroenterology : WJG, 2021-02, Vol.27 (8), p.737-750

2021

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Pathological tumor long‐to‐short axis ratio as a prognostic factor in patients with thymic epithelial tumors

Thoracic cancer, 2022-09, Vol.13 (17), p.2489-2498

2022

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Machine Learning-Based Prognostic Model for Patients After Lung Transplantation

JAMA network open, 2023-05, Vol.6 (5), p.e2312022

2023

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Preoperative Clinical Characteristics Predict Recurrent Laryngeal Nerve Lymph Node Metastasis and Overall Survival in Esophageal Squamous Cell Carcinoma: A Retrospective Study With External Validation

Frontiers in oncology, 2022-03, Vol.12, p.859952-859952

2022

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Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma

Frontiers in oncology, 2022-09, Vol.12, p.986358-986358

2022

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Prediction model of lymph node metastases for lung adenocarcinoma: increased applicability of this model

European journal of cardio-thoracic surgery, 2021-10, Vol.60 (4), p.1007-1008

2021

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The application of radiomics in esophageal cancer: Predicting the response after neoadjuvant therapy

Frontiers in oncology, 2023-04, Vol.13, p.1082960-1082960

2023

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Machine learning-based radiomic computed tomography phenotyping of thymic epithelial tumors: Predicting pathological and survival outcomes

The Journal of thoracic and cardiovascular surgery, 2023-02, Vol.165 (2), p.502-516.e9

2023

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ASO Author Reflections: The Clinical Use of Dual-Region Radiomics-Based Machine Learning in the Identification of Subcarinal Lymph Node Metastasis of Non-small Cell Lung Cancer

Annals of surgical oncology, 2024-07, Vol.31 (7), p.4325-4326

2024

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Assessing the trend of diabetes mellitus by analyzing metformin as a biomarker in wastewater

The Science of the total environment, 2019-10, Vol.688, p.281-287

2019

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A novel web-based dynamic nomogram for recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma

Frontiers in surgery, 2022-08, Vol.9, p.898705-898705

2022

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Applying a population model based on hydrochemical parameters in wastewater-based epidemiology

The Science of the total environment, 2019-03, Vol.657, p.466-475

2019

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Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer

Annals of surgical oncology, 2024-08, Vol.31 (8), p.5011-5020

2024

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Noninvasive monitoring of allograft rejection in a rat lung transplant model: Application of machine learning-based 18F-fluorodeoxyglucose positron emission tomography radiomics

The Journal of heart and lung transplantation, 2022-06, Vol.41 (6), p.722-731

2022

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Reduction in methamphetamine consumption trends from 2015 to 2018 detected by wastewater-based epidemiology in Dalian, China

Drug and alcohol dependence, 2019-01, Vol.194, p.302-309

2019

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Double-lung versus heart–lung transplantation for end-stage cardiopulmonary disease: a systematic review and meta-analysis

Surgery today (Tokyo, Japan), 2023-09, Vol.53 (9), p.1001-1012

2023

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Genetic effect of ischemia-reperfusion injury upon primary graft dysfunction and chronic lung allograft dysfunction in lung transplantation: evidence based on transcriptome data

Transplant immunology, 2022-04, Vol.71, p.101556-101556, Article 101556

2022

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Right lung transplantation with a left-to-right inverted anastomosis in a rat model

JTCVS open, 2022-06, Vol.10, p.429-439

2022

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Stent insertion for incurable oesophageal carcinoma: what is the optimal treatment?

The lancet. Gastroenterology & hepatology, 2021-07, Vol.6 (7), p.524-525

2021

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EOD1-1. Development and external validation of a preoperative nomogram to predict recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma

General Thoracic and Cardiovascular Surgery, 2021, Vol.69 (suppl), p.1404-1404

2021

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ASO Author Reflections: Tumor Maximum Area is Better for Representing Tumor Size in Thymic Epithelial Tumors

Wastewater analysis reveals spatial pattern in consumption of anti-diabetes drug metformin in China

Pararespiratory and paradigestive lymph node metastases in esophageal squamous cell carcinoma: predicting survival and refining the N staging system

Characterization of a sigma class GST (GSTS6) required for cellular detoxification and embryogenesis in Tribolium castaneum

Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study

Risk factors for lymph node metastasis in T1 esophageal squamous cell carcinoma: A systematic review and meta-analysis

Pathological tumor long‐to‐short axis ratio as a prognostic factor in patients with thymic epithelial tumors

Machine Learning-Based Prognostic Model for Patients After Lung Transplantation

Preoperative Clinical Characteristics Predict Recurrent Laryngeal Nerve Lymph Node Metastasis and Overall Survival in Esophageal Squamous Cell Carcinoma: A Retrospective Study With External Validation

Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma

Prediction model of lymph node metastases for lung adenocarcinoma: increased applicability of this model

The application of radiomics in esophageal cancer: Predicting the response after neoadjuvant therapy

Machine learning-based radiomic computed tomography phenotyping of thymic epithelial tumors: Predicting pathological and survival outcomes

ASO Author Reflections: The Clinical Use of Dual-Region Radiomics-Based Machine Learning in the Identification of Subcarinal Lymph Node Metastasis of Non-small Cell Lung Cancer

Assessing the trend of diabetes mellitus by analyzing metformin as a biomarker in wastewater

A novel web-based dynamic nomogram for recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma

Applying a population model based on hydrochemical parameters in wastewater-based epidemiology

Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer

Noninvasive monitoring of allograft rejection in a rat lung transplant model: Application of machine learning-based 18F-fluorodeoxyglucose positron emission tomography radiomics

Reduction in methamphetamine consumption trends from 2015 to 2018 detected by wastewater-based epidemiology in Dalian, China

Double-lung versus heart–lung transplantation for end-stage cardiopulmonary disease: a systematic review and meta-analysis

Genetic effect of ischemia-reperfusion injury upon primary graft dysfunction and chronic lung allograft dysfunction in lung transplantation: evidence based on transcriptome data

Right lung transplantation with a left-to-right inverted anastomosis in a rat model

Stent insertion for incurable oesophageal carcinoma: what is the optimal treatment?

EOD1-1. Development and external validation of a preoperative nomogram to predict recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma

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