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Andrew Tam

Showing results (21-30 of 43) with videos related to

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Advances in Radiation Oncology|December 17, 2024
Patient Perceptions of Radiation Therapy Prior to Initial Consultation With a Radiation OncologistJennifer Novak, Colton Ladbury, Tariq Abuali, et al.
JAMA Dermatology|May 16, 2016
Choice, Transparency, Coordination, and Quality Among Direct-to-Consumer Telemedicine Websites and Apps Treating Skin DiseaseJack S Resneck, Michael Abrouk, Meredith Steuer, et al.
Head & Neck|June 22, 2023
Implications of updated staging system for p16+ oropharyngeal squamous cell carcinoma: Is valuable prognostic information being omitted?Kim Vo, Colton Ladbury, Andrew Tam, et al.
Translational Cancer Research|November 17, 2022
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative reviewColton Ladbury, Reza Zarinshenas, Hemal Semwal, et al.
Journal of Thoracic Disease|December 16, 2022
Current landscape of radiation oncology in esophageal cancer: a narrative reviewJason Liu, Colton Ladbury, Andrew Tam, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2016
Nuclear repartitioning of galectin-1 by an extracellular glycan switch regulates mammary morphogenesisRamray Bhat, Brian Belardi, Hidetoshi Mori, et al.
Palliative & Supportive Care|November 11, 2024
Prevalence of major depression, suicidal ideation, and mental health treatment among cancer survivorsLinda Ye, Colton Ladbury, Andrew Tam, et al.
Pigment Cell & Melanoma Research|June 20, 2020
The role of technology in melanoma screening and diagnosisAlbert T Young, Niki B Vora, Jose Cortez, et al.
Nature Communications|November 11, 2018
Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biasesFrancesco Vallania, Andrew Tam, Shane Lofgren, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITYWinston A Haynes, Francesco Vallania, Charles Liu, et al.
Pageof 5

Showing results (21-30 of 43) with videos related to

Sort By:
Pageof 5
Advances in Radiation Oncology|December 17, 2024
Patient Perceptions of Radiation Therapy Prior to Initial Consultation With a Radiation OncologistJennifer Novak, Colton Ladbury, Tariq Abuali, et al.
JAMA Dermatology|May 16, 2016
Choice, Transparency, Coordination, and Quality Among Direct-to-Consumer Telemedicine Websites and Apps Treating Skin DiseaseJack S Resneck, Michael Abrouk, Meredith Steuer, et al.
Head & Neck|June 22, 2023
Implications of updated staging system for p16+ oropharyngeal squamous cell carcinoma: Is valuable prognostic information being omitted?Kim Vo, Colton Ladbury, Andrew Tam, et al.
Translational Cancer Research|November 17, 2022
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative reviewColton Ladbury, Reza Zarinshenas, Hemal Semwal, et al.
Journal of Thoracic Disease|December 16, 2022
Current landscape of radiation oncology in esophageal cancer: a narrative reviewJason Liu, Colton Ladbury, Andrew Tam, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2016
Nuclear repartitioning of galectin-1 by an extracellular glycan switch regulates mammary morphogenesisRamray Bhat, Brian Belardi, Hidetoshi Mori, et al.
Palliative & Supportive Care|November 11, 2024
Prevalence of major depression, suicidal ideation, and mental health treatment among cancer survivorsLinda Ye, Colton Ladbury, Andrew Tam, et al.
Pigment Cell & Melanoma Research|June 20, 2020
The role of technology in melanoma screening and diagnosisAlbert T Young, Niki B Vora, Jose Cortez, et al.
Nature Communications|November 11, 2018
Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biasesFrancesco Vallania, Andrew Tam, Shane Lofgren, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITYWinston A Haynes, Francesco Vallania, Charles Liu, et al.
Pageof 5