Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Thomas J, Fuchs"'
Autor:
PLOS Pathogens Editors, Johannes Haybaeck, Mathias Heikenwalder, Britta Klevenz, Petra Schwarz, Ilan Margalith, Claire Bridel, Kirsten Mertz, Elizabeta Zirdum, Benjamin Petsch, Thomas J Fuchs, Lothar Stitz, Adriano Aguzzi
Publikováno v:
PLoS Pathogens, Vol 20, Iss 7, p e1012396 (2024)
Externí odkaz:
https://doaj.org/article/dca854d308c848918555e1b6afe268ac
Autor:
Robert P Hirten, Matteo Danieletto, Kyle Landell, Micol Zweig, Eddye Golden, Georgy Orlov, Jovita Rodrigues, Eugenia Alleva, Ipek Ensari, Erwin Bottinger, Girish N Nadkarni, Thomas J Fuchs, Zahi A Fayad
Publikováno v:
JMIR Research Protocols, Vol 12, p e49204 (2023)
BackgroundThe increasing use of smartphones, wearables, and connected devices has enabled the increasing application of digital technologies for research. Remote digital study platforms comprise a patient-interfacing digital application that enables
Externí odkaz:
https://doaj.org/article/4867f3ce75dc41fca7691503ac99298a
Autor:
Andrew T. McKenzie, Gabriel A. Marx, Daniel Koenigsberg, Mary Sawyer, Megan A. Iida, Jamie M. Walker, Timothy E. Richardson, Gabriele Campanella, Johannes Attems, Ann C. McKee, Thor D. Stein, Thomas J. Fuchs, Charles L. White, The PART working group, Kurt Farrell, John F. Crary
Publikováno v:
Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-17 (2022)
Abstract Age-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbid pathological correlates. Amyloid beta (Aβ) plays a major role in Alzheimer’s type age-related cognitive impairment, in addition to other
Externí odkaz:
https://doaj.org/article/d218b0be340e401e93dd81a56163f5e6
Autor:
David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Jiwon Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100160- (2023)
Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patter
Externí odkaz:
https://doaj.org/article/ac5a85b0b8734246ac67e2c516a8f4e9
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 9-9 (2021)
Background: The development of artificial intelligence (AI) in pathology frequently relies on digitally annotated whole slide images (WSI). The creation of these annotations – manually drawn by pathologists in digital slide viewers – is time cons
Externí odkaz:
https://doaj.org/article/78156a9498fa41c8ab70daf9b2cd40e9
Autor:
Patricia, Raciti, Jillian, Sue, Juan A, Retamero, Rodrigo, Ceballos, Ran, Godrich, Jeremy D, Kunz, Adam, Casson, Dilip, Thiagarajan, Zahra, Ebrahimzadeh, Julian, Viret, Donghun, Lee, Peter J, Schüffler, George, DeMuth, Emre, Gulturk, Christopher, Kanan, Brandon, Rothrock, Jorge, Reis-Filho, David S, Klimstra, Victor, Reuter, Thomas J, Fuchs
Publikováno v:
Archives of Pathology & Laboratory Medicine.
Context.— Prostate cancer diagnosis rests on accurate assessment of tissue by a pathologist. The application of artificial intelligence (AI) to digitized whole slide images (WSIs) can aid pathologists in cancer diagnosis, but robust, diverse eviden
Autor:
Lee K. Tan, Thomas J. Fuchs, Peter Ntiamoah, David Joon Ho, Anne Grabenstetter, Matthew G. Hanna, Luke Geneslaw, Timothy M. D'Alfonso, Dig Vijay Kumar Yarlagadda
Publikováno v:
Modern Pathology. 34:1487-1494
The surgical margin status of breast lumpectomy specimens for invasive carcinoma and ductal carcinoma in situ (DCIS) guides clinical decisions, as positive margins are associated with higher rates of local recurrence. The "cavity shave" method of mar
ObjectiveAmyotrophic lateral sclerosis (ALS) is a devastating neuromuscular disease with limited therapeutic options. Diagnostic and surrogate endpoint biomarkers are needed for early disease detection, clinical trial design, and personalized medicin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d264bf0b592883d83bb552dc0f82cb0
https://doi.org/10.1101/2022.10.23.513410
https://doi.org/10.1101/2022.10.23.513410
Autor:
Yukako Yagi, Evangelos Stamelos, D Vijay K Yarlagadda, Christine England, Melissa Murray, Allyne Manzo, Thomas J. Fuchs, Chad M. Vanderbilt, Luke Geneslaw, Michael H.A. Roehrl, Victor E. Reuter, Jennifer Samboy, S. Joseph Sirintrapun, Dilip Giri, Jianjiong Gao, Marc-Henri Jean, Juan C Perin, David S. Klimstra, Lorraine Corsale, Meera Hameed, Peter J. Schüffler, Carlie S. Sigel, Matthew G. Hanna, John Philip, John Ziegler, Lee K. Tan, Neeraj H G Paramasivam, U. Bhanot, Orly Ardon, Young Suk Kim, Christina Virgo, Sarah Chiang
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Broad adoption of digital pathology (DP) is still lacking, and examples for DP connecting diagnostic, research, and educational use cases are missing. We blueprint a holistic DP solution at a large academic medical center ubiquitously integ