Results 91 to 100 of about 43,201,948 (340)

Public evidence on AI products for digital pathology

npj Digital Medicine
Novel products applying artificial intelligence (AI)-based methods to digital pathology images are touted to have many uses and benefits. However, publicly available information for products can be variable, with few sources of independent evidence. This
G. Matthews, C. McGenity, D. Bansal, D. Treanor   +3 more
semanticscholar   +1 more source

Expanding application of digital pathology in Japan - from education, telepathology to autodiagnosis

Diagnostic Pathology, 2011
Background Digital pathology, i.e., applications of digital information technologies to pathology practice, has been expanding in the recent decades and the mode of pathology diagnostic practice is changing with enhanced precision.
Tsuchihashi Yasunari
doaj   +1 more source

The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide [PDF]

, 2019
Digital pathology has progressed over the last two decades, with many clinical and nonclinical applications. Transplantation pathology is a highly specialized field in which the majority of practicing pathologists do not have sufficient expertise to ...
Capitanio, Arrigo,, AMMENDOLA, SERENA, Barresi, Valeria,, Barresi, Valeria, Capitanio, Arrigo, Pantanowitz, Liron, Pantanowitz, Liron,, Parwani, Anil,, Novelli, Luca, Ammendola, Serena,, Eccher, Albino, Novelli, Luca,, Girolami, Ilaria,, Girolami, Ilaria, Brunelli, Matteo,, Brunelli, Matteo, Eccher, Albino,, Marletta, Stefano,, Parwani, Anil, MARLETTA, STEFANO, Stefanizzi, Lavinia, Stefanizzi, Lavinia,   +21 more
core   +1 more source

GrandQC: A comprehensive solution to quality control problem in digital pathology

Nature Communications
Histological slides contain numerous artifacts that can significantly deteriorate the performance of image analysis algorithms. Here we develop the GrandQC tool for tissue and multi-class artifact segmentation.
Zhi-Long Weng, Alexander Seper, Alexey E. Pryalukhin, Fabian Mairinger, C. Wickenhauser, Marcus Bauer, Lennert Glamann, H. Bläker, T. Lingscheidt, W. Hulla, D. Jonigk, S. Schallenberg, A. Bychkov, J. Fukuoka, Martin Braun, Birgid Schömig-Markiefka, Sebastian Klein, A. Thiel, Katarzyna Bozek, George J. Netto, A. Quaas, R. Büttner, Y. Tolkach   +22 more
semanticscholar   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source

Digital Pathology for Better Clinical Practice

Cancers
Simple Summary This review highlights the profound impact of digital pathology (DP) and artificial intelligence (AI) on advancing cancer diagnosis and treatment.
Assia Hijazi, Carlo Bifulco, P. Baldin, J. Galon   +3 more
semanticscholar   +1 more source

Innovative use of technologies to enhance the teaching of pathology

, 2014
Recent trainee pathologists showed a tendency to do better at identifying entities rather than the handling of cases that required a more global pathological interpretation.
Khoo, US
core   +1 more source

Dactolisib outperforms Rapamycin in potentiating apoptosis induced by XPO1, Bcl‐2 and Mcl‐1 blockade in preclinical glioblastoma models

FEBS Open Bio, EarlyView.
The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao, Leonie Meyer, Madita Braun, Katharina Otte, Celine Bitter, Maite Pawlik, Hartmann Raifer, Frederik Helmprobst, Axel Pagenstecher, Hans Urban, Michael C. Burger, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jarmila Jedelská, Shamim Bagheri, Behrooz H. Yousefi, Pietro Di Fazio, Markus Luster, Andreas H. Mahnken, Andreas Neubauer, Andreas Burchert, Christopher Nimsky, Jörg W. Bartsch, Tillmann Rusch   +23 more
wiley   +1 more source

Practical Applications of Digital Pathology [PDF]

Cancer Control, 2015
Background Virtual microscopy and advances in machine learning have paved the way for the ever-expanding field of digital pathology. Multiple image-based computing environments capable of performing automated quantitative and morphological analyses are the foundation on which digital pathology is built.
Daryoush, Saeed-Vafa, Anthony M, Magliocco   +1 more
openaire   +2 more sources

Hydrogel platforms for 3D cardiac tissue engineering and fibrotic disease modelling

FEBS Open Bio, EarlyView.
Hydrogel‐based cardiac tissue models are advancing our understanding of heart health and disease. By incorporating electrical conductivity, aligned structures, and tunable mechanical properties, these platforms better replicate the complex environment of native heart tissue.
Harrison Porritt, Annika Winbo, Jenny Malmström   +2 more
wiley   +1 more source