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Sean Walsh

Showing results (51-60 of 99) with videos related to

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Seminars in Nuclear Medicine|September 1, 2019
Radiomics Analysis for Clinical Decision Support in Nuclear MedicineAbdalla Ibrahim, Martin Vallières, Henry Woodruff, et al.
BMC Cancer|February 28, 2016
Analytical performance of a bronchial genomic classifierZhanzhi Hu, Duncan Whitney, Jessica R Anderson, et al.
The Journal of Clinical Endocrinology and Metabolism|March 5, 2024
Analytical Validation of a Telomerase Reverse Transcriptase (TERT) Promoter Mutation AssayPriyanka C Iyer, Ramona Dadu, Anna Barque, et al.
Computers in Biology and Medicine|August 7, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of dataFadila Zerka, Visara Urovi, Fabio Bottari, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
The Role of Imaging in the Detection of Non-COVID-19 Pathologies during the Massive Screening of the First Pandemic WavePerrine Canivet, Colin Desir, Marie Thys, et al.
Evidence-Based Complementary and Alternative Medicine : Ecam|July 11, 2017
Reliability of the NICMAN Scale: An Instrument to Assess the Quality of Acupuncture Administered in Clinical TrialsCaroline A Smith, Christopher J Zaslawski, Suzanne Cochrane, et al.
BMC Cancer|April 14, 2021
Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodulesMarla K Johnson, Shuyang Wu, Daniel G Pankratz, et al.
Ebiomedicine|November 12, 2020
Corrigendum to 'A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19'Oliver J McElvaney, Brian D Hobbs, Dandi Qiao, et al.
Journal of Alternative and Complementary Medicine (New York, N.Y.)|May 10, 2011
Development of an instrument to assess the quality of acupuncture: results from a Delphi processCaroline A Smith, Christopher J Zaslawski, Zhen Zheng, et al.
BMC Systems Biology|April 7, 2019
Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithmsYangyang Hao, Quan-Yang Duh, Richard T Kloos, et al.
Pageof 10

Showing results (51-60 of 99) with videos related to

Sort By:
Pageof 10
Seminars in Nuclear Medicine|September 1, 2019
Radiomics Analysis for Clinical Decision Support in Nuclear MedicineAbdalla Ibrahim, Martin Vallières, Henry Woodruff, et al.
BMC Cancer|February 28, 2016
Analytical performance of a bronchial genomic classifierZhanzhi Hu, Duncan Whitney, Jessica R Anderson, et al.
The Journal of Clinical Endocrinology and Metabolism|March 5, 2024
Analytical Validation of a Telomerase Reverse Transcriptase (TERT) Promoter Mutation AssayPriyanka C Iyer, Ramona Dadu, Anna Barque, et al.
Computers in Biology and Medicine|August 7, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of dataFadila Zerka, Visara Urovi, Fabio Bottari, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
The Role of Imaging in the Detection of Non-COVID-19 Pathologies during the Massive Screening of the First Pandemic WavePerrine Canivet, Colin Desir, Marie Thys, et al.
Evidence-Based Complementary and Alternative Medicine : Ecam|July 11, 2017
Reliability of the NICMAN Scale: An Instrument to Assess the Quality of Acupuncture Administered in Clinical TrialsCaroline A Smith, Christopher J Zaslawski, Suzanne Cochrane, et al.
BMC Cancer|April 14, 2021
Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodulesMarla K Johnson, Shuyang Wu, Daniel G Pankratz, et al.
Ebiomedicine|November 12, 2020
Corrigendum to 'A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19'Oliver J McElvaney, Brian D Hobbs, Dandi Qiao, et al.
Journal of Alternative and Complementary Medicine (New York, N.Y.)|May 10, 2011
Development of an instrument to assess the quality of acupuncture: results from a Delphi processCaroline A Smith, Christopher J Zaslawski, Zhen Zheng, et al.
BMC Systems Biology|April 7, 2019
Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithmsYangyang Hao, Quan-Yang Duh, Richard T Kloos, et al.
Pageof 10