Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Machine Learning Analyses Of Highly-Multiplexed Immunofluorescence Identifies Distinct Tumor And Stromal Cell Populations In Primary Pancreatic Tumors, Krysten Vance, Alphan Alitinok, Seth Winfree, Heather Jensen Smith, Benjamin Swanson Md, Phd, Paul M. Grandgenett, Kelsey Klute, Daniel J Crichton, Michael A. Hollingsworth
Machine Learning Analyses Of Highly-Multiplexed Immunofluorescence Identifies Distinct Tumor And Stromal Cell Populations In Primary Pancreatic Tumors, Krysten Vance, Alphan Alitinok, Seth Winfree, Heather Jensen Smith, Benjamin Swanson Md, Phd, Paul M. Grandgenett, Kelsey Klute, Daniel J Crichton, Michael A. Hollingsworth
Journal Articles: Eppley Institute
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clinicians.
OBJECTIVE: To analyze the distribution of 31 different markers in tumor and stromal portions of the tumor microenvironment (TME) and identify immune cell populations to better understand how neoplastic, non-malignant structural, and immune cells, diversify the TME and influence PDAC progression.
METHODS: Whole slide imaging (WSI) and cyclic multiplexed-immunofluorescence (MxIF) was used to collect 31 different markers over the course of nine distinctive imaging series of human PDAC samples. Image registration and machine learning algorithms were developed to largely automate an imaging analysis pipeline identifying distinct cell …
Quantifying The Impact Of Immune History And Variant On Sars-Cov-2 Viral Kinetics And Infection Rebound: A Retrospective Cohort Study, James A. Hay, Stephen M. Kissler, Joseph R. Fauver, Christina Mack, Caroline G. Tai, Radhika M. Samant, Sarah Connolly, Deverick J. Anderson, Gaurav Khullar, Matthew Mackay, Miral Patel, Shannan Kelly, April Manhertz, Isaac Eiter, Daisy Salgado, Tim Baker, Ben Howard, Joel T. Dudley, Christopher E. Mason, Manoj Nair, Yaoxing Huang, John Difiori, David D. Ho, Nathan D. Grubaugh, Yonatan H. Grad
Quantifying The Impact Of Immune History And Variant On Sars-Cov-2 Viral Kinetics And Infection Rebound: A Retrospective Cohort Study, James A. Hay, Stephen M. Kissler, Joseph R. Fauver, Christina Mack, Caroline G. Tai, Radhika M. Samant, Sarah Connolly, Deverick J. Anderson, Gaurav Khullar, Matthew Mackay, Miral Patel, Shannan Kelly, April Manhertz, Isaac Eiter, Daisy Salgado, Tim Baker, Ben Howard, Joel T. Dudley, Christopher E. Mason, Manoj Nair, Yaoxing Huang, John Difiori, David D. Ho, Nathan D. Grubaugh, Yonatan H. Grad
Journal Articles: Epidemiology
BACKGROUND: The combined impact of immunity and SARS-CoV-2 variants on viral kinetics during infections has been unclear.
METHODS: We characterized 1,280 infections from the National Basketball Association occupational health cohort identified between June 2020 and January 2022 using serial RT-qPCR testing. Logistic regression and semi-mechanistic viral RNA kinetics models were used to quantify the effect of age, variant, symptom status, infection history, vaccination status and antibody titer to the founder SARS-CoV-2 strain on the duration of potential infectiousness and overall viral kinetics. The frequency of viral rebounds was quantified under multiple cycle threshold (Ct) value-based definitions.
RESULTS: Among individuals detected …