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Stephen John

Showing results (271-280 of 302) with videos related to

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Journal of Thrombosis and Haemostasis : JTH|September 27, 2019
A multicenter study of anticoagulation in operable chronic thromboembolic pulmonary hypertensionKatherine Bunclark, Michael Newnham, Yi-Da Chiu, et al.
Cancer Discovery|July 12, 2022
AACR Project GENIE: 100,000 Cases and BeyondTrevor J Pugh, Jonathan L Bell, Jeff P Bruce, et al.
Respiratory Medicine|March 22, 2022
The six-minute walk test in sarcoidosis associated pulmonary hypertension: Results from an international registryRohit Gupta, Robert P Baughman, Steven D Nathan, et al.
BMJ Open|November 15, 2022
FUTURE-GB: functional and ultrasound-guided resection of glioblastoma - a two-stage randomised control trialPuneet Plaha, Sophie Camp, Jonathan Cook, et al.
NPJ Breast Cancer|June 8, 2021
The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancersLeticia De Mattos-Arruda, Javier Cortes, Juan Blanco-Heredia, et al.
Molecular Oncology|April 15, 2025
A large-scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression-free survivalEmma J Beddowes, Mario Ortega Duran, Solon Karapanagiotis, et al.
Cell Reports|May 13, 2025
Fitness and transcriptional plasticity of human breast cancer single-cell-derived clonesLong V Nguyen, Yaniv Eyal-Lubling, Daniel Guerrero-Romero, et al.
Nature Communications|September 14, 2021
DNA methylation landscapes of 1538 breast cancers reveal a replication-linked clock, epigenomic instability and cis-regulationRajbir Nath Batra, Aviezer Lifshitz, Ana Tufegdzic Vidakovic, et al.
Science Translational Medicine|August 9, 2019
Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancerBradon R McDonald, Tania Contente-Cuomo, Stephen-John Sammut, et al.
Nature|December 7, 2021
Multi-omic machine learning predictor of breast cancer therapy responseStephen-John Sammut, Mireia Crispin-Ortuzar, Suet-Feung Chin, et al.
Pageof 31

Showing results (271-280 of 302) with videos related to

Sort By:
Pageof 31
Journal of Thrombosis and Haemostasis : JTH|September 27, 2019
A multicenter study of anticoagulation in operable chronic thromboembolic pulmonary hypertensionKatherine Bunclark, Michael Newnham, Yi-Da Chiu, et al.
Cancer Discovery|July 12, 2022
AACR Project GENIE: 100,000 Cases and BeyondTrevor J Pugh, Jonathan L Bell, Jeff P Bruce, et al.
Respiratory Medicine|March 22, 2022
The six-minute walk test in sarcoidosis associated pulmonary hypertension: Results from an international registryRohit Gupta, Robert P Baughman, Steven D Nathan, et al.
BMJ Open|November 15, 2022
FUTURE-GB: functional and ultrasound-guided resection of glioblastoma - a two-stage randomised control trialPuneet Plaha, Sophie Camp, Jonathan Cook, et al.
NPJ Breast Cancer|June 8, 2021
The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancersLeticia De Mattos-Arruda, Javier Cortes, Juan Blanco-Heredia, et al.
Molecular Oncology|April 15, 2025
A large-scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression-free survivalEmma J Beddowes, Mario Ortega Duran, Solon Karapanagiotis, et al.
Cell Reports|May 13, 2025
Fitness and transcriptional plasticity of human breast cancer single-cell-derived clonesLong V Nguyen, Yaniv Eyal-Lubling, Daniel Guerrero-Romero, et al.
Nature Communications|September 14, 2021
DNA methylation landscapes of 1538 breast cancers reveal a replication-linked clock, epigenomic instability and cis-regulationRajbir Nath Batra, Aviezer Lifshitz, Ana Tufegdzic Vidakovic, et al.
Science Translational Medicine|August 9, 2019
Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancerBradon R McDonald, Tania Contente-Cuomo, Stephen-John Sammut, et al.
Nature|December 7, 2021
Multi-omic machine learning predictor of breast cancer therapy responseStephen-John Sammut, Mireia Crispin-Ortuzar, Suet-Feung Chin, et al.
Pageof 31