Results 51 to 60 of about 43,201,948 (340)

Comes Digital Pathology

Archives of Pathology & Laboratory Medicine, 2015
One year ago, it was predicted that the US Food and Drug Administration (FDA) was likely to approve whole slide imaging (WSI) for digital pathology ‘‘within the next few months.’’ Get ready. Digital pathology will soon be the glass slide’s diagnostic companion.
openaire   +2 more sources

Digital pathology and COVID-19 and future crises: pathologists can safely diagnose cases from home using a consumer monitor and a mini PC

, 2020
This article is made available for unrestricted research re-use and secondary analysis in any form or be any means with acknowledgement of the original source.
Scarpelli, Marina, Cimadamore, Alessia, Lopez-Beltran, Antonio, Cheng, Liang, Montironi R., Scarpelli M., Cheng L., Lopez-Beltran A., Cimadamore A., Cimadamore, A.   +9 more
core   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Decoding (digital) histopathology: The building blocks for computational researchers.

PLOS Digital Health
Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis.
Salma Dammak, Alessandro Caputo, Diana Montezuma, Vincenzo L'Imperio, Sara P Oliveira, European Society of Digital and Integrative Pathology (ESDIP)   +5 more
doaj   +1 more source

Relationship between magnification and resolution in digital pathology systems

Journal of Pathology Informatics, 2013
Many pathology laboratories are implementing digital pathology systems. The image resolution and scanning (digitization) magnification can vary greatly between these digital pathology systems.
Tiffany L Sellaro, Robert Filkins, Chelsea Hoffman, Jeffrey L Fine, Jon Ho, Anil V Parwani, Liron Pantanowitz, Michael Montalto   +7 more
doaj   +1 more source

Diagnostic digital pathology implementation: Learning from the digital health experience

Digital Health, 2021
Digital Pathology (also referred to as Telepathology and Whole Slide Imaging) is the process of producing high resolution digital images from tissue sections on glass slides. These glass slides are normally examined under a microscope by a pathologist as
Samar Betmouni
doaj   +1 more source

Entropy measures for quantifying complexity in digital pathology and spatial omics

iScience
Summary Entropy, a cornerstone of information theory, quantifies disorder, heterogeneity, and complexity in biological systems. This review explores its use in digital pathology and spatial omics, focusing on how entropy captures tissue architecture ...
Xiao Li, Xuehan Ren, Raghavan Venugopal
semanticscholar   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

Deep learning for digital pathology: A critical overview of methodological framework

Journal of Pathology Informatics
Deep learning frameworks have transformed the field of digital pathology by automating complex tasks and revealing intricate patterns within histopathological data.
Meghdad Sabouri Rad, Jun-Ze Huang, Mohammad Mehdi Hosseini, Rakesh Choudhary, Harmen Siezen, Ratilal Akabari, Tamara Jamaspishvili, O. El-Zammar, Palak Patel, Saverio J. Carello, Michel R. Nasr, B. Rodd   +11 more
semanticscholar   +1 more source

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

Nature Reviews Clinical Oncology, 2019
In the past decade, advances in precision oncology have resulted in an increased demand for predictive assays that enable the selection and stratification of patients for treatment.
K. Bera, K. Schalper, D. Rimm, V. Velcheti, A. Madabhushi   +4 more
semanticscholar   +1 more source