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The Use of Quantitative Digital Pathology to Measure Proteoglycan and Glycosaminoglycan Expression and Accumulation in Healthy and Diseased Tissues.
In The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society
Davis A Sally, Chang Mary Y, Brune Jourdan E, Hallstrand Teal S, Johnson Brian, Lindhartsen Sarah, Hewitt Stephen M, Frevert Charles W
artificial intelligence, asthma, digital pathology, extracellular matrix, glycosaminoglycans, image analysis, immunohistochemistry, in situ hybridization, influenza, machine learning, proteoglycans, stereology
Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully-Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1,204 Heathy Adults Using Unenhanced CT as Reference Standard.
In AJR. American journal of roentgenology
Pickhardt Perry J, Blake Glen M, Graffy Peter M, Sandfort Veit, Elton Daniel C, Perez Alberto A, Summers Ronald M
Discovery, Design, and Structural Characterization of Alkane Producing Enzymes across the Ferritin-like Superfamily.
Mak Wai Shun, Wang Xiaokang, Arenas Rigoberto, Cui Youtian, Bertolani Steve J, Deng Wen Qiao, Tagkopoulos Ilias, Wilson David K, Siegel Justin B
Deep-learning-assisted biophysical imaging cytometry at massive throughput delineates cell population heterogeneity.
In Lab on a chip
Siu Dickson M D, Lee Kelvin C M, Lo Michelle C K, Stassen Shobana V, Wang Maolin, Zhang Iris Z Q, So Hayden K H, Chan Godfrey C F, Cheah Kathryn S E, Wong Kenneth K Y, Hsin Michael K Y, Ho James C M, Tsia Kevin K
Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices.
In Brain sciences
Griffiths Amy Jane, Hanson Amy Hurley, Giannantonio Cristina M, Mathur Sneha Kohli, Hyde Kayleigh, Linstead Erik
autism spectrum disorder, employment, machine learning
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit during COVID-19: An Observational Study.
In Journal of medical Internet research ; h5-index 88.0
Low Daniel M, Rumker Laurie, Talker Tanya, Torous John, Cecchi Guillermo, Ghosh Satrajit S