Results 71 to 80 of about 43,201,948 (340)

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

Molecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara, Kosuke Murakami, Shiro Takamatsu, Akiko Kanto, Seiichi Mori, Tomoyuki Otani, Kazuko Sakai, Yasushi Kotani, Kazuto Nishio, Kaoru Abiko, Noriomi Matsumura   +10 more
wiley   +1 more source

Digital pathology imaging artificial intelligence in cancer research and clinical trials: An NCI workshop report

Journal of Pathology Informatics
Digital pathology imaging (DPI) is a rapidly advancing field with increasing relevance to cancer diagnosis, research, and clinical trials through large-scale image analysis and artificial intelligence (AI) integration.
H. Makhlouf, Miguel R. Ossandon, K. Farahani, Irina Lubensky, Lyndsay N. Harris   +4 more
semanticscholar   +1 more source

Digital Pathology

The Bulletin of the Royal College of Surgeons of England, 2017
Can scanning and storing the contents of microscope slides simplify the logistical challenges faced by pathologists today?
openaire   +2 more sources

Digital Pathology and Artificial Intelligence Applied to Nonclinical Toxicology Pathology—The Current State, Challenges, and Future Directions

Toxicologic pathology (Print)
Advancements in digital pathology and artificial intelligence (AI) have enormous transformative potential for nonclinical toxicologic pathology and are already changing the ways in which pathologists work.
Gabriele Pohlmeyer-Esch, Charles Halsey, Julie Boisclair, S. Ram, Sarah Kirschner-Kitz, Brian Knight, Pierre Moulin, A. Frisk   +7 more
semanticscholar   +1 more source

Histopathological Images Analysis and Predictive Modeling Implemented in Digital Pathology—Current Affairs and Perspectives

Diagnostics, 2023
In modern clinical practice, digital pathology has an essential role, being a technological necessity for the activity in the pathological anatomy laboratories.
M. Moscalu, R. Moscalu, C. Dascălu, V. Țarcă, E. Cojocaru, I. Costin, Elena Țarcă, I. Șerban   +7 more
semanticscholar   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

Pathology in a digital realm: food for thought!

Journal of Pathology of Nepal, 2021
Digital Pathology, as defined by Digital Pathology Association is an image-based environment that enables the acquisition, management, and interpretation of information generated from a digitalized glass slide.1 The advent of fast and affordable whole ...
Palzum Sherpa
doaj  

Digital pathology systems enabling quality patient care

Genes, Chromosomes and Cancer, 2023
Pathology laboratories are undergoing digital transformations, adopting innovative technologies to enhance patient care. Digital pathology systems impact clinical, education, and research use cases where pathologists use digital technologies to perform ...
M. Hanna, O. Ardon
semanticscholar   +1 more source

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

FEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source

Diffusion models for out-of-distribution detection in digital pathology

Medical Image Anal.
The ability to detect anomalies, i.e. anything not seen during training or out-of-distribution (OOD), in medical imaging applications is essential for successfully deploying machine learning systems.
J. Linmans, Gabriel Raya, J. A. van der Laak, Geert Litjens   +3 more
semanticscholar   +1 more source