Results 171 to 180 of about 516,287 (323)

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms [PDF]

, 2020
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten   +3 more
openalex   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Observer variation in computed tomography of pleural lesions in subjects exposed to indoor asbestos

, 2001
H. De Raeve, Johny Verschakelen, P.A. Gevenois, Peter Mahieu, G Moëns, Benoít Nemery   +5 more
openalex   +1 more source

Large observer variation of clinical assessment of dyspnoeic wheezing children [PDF]

, 2015
Jolita Bekhof, Roelien Reimink, Ine-Marije Bartels, Hendriekje Eggink, Paul L.P. Brand   +4 more
openalex   +1 more source

Observer variation in histological diagnosis. [PDF]

Journal of Clinical Pathology, 1983
openaire   +3 more sources

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

MicroRNA 196a contributes to the aggressiveness of esophageal adenocarcinoma through the MYC/TERT/NFκB axis

Molecular Oncology, EarlyView.
mir‐196a promotes Esophagus Adenocarcinoma aggressiveness. On one hand, mir‐196a targets the valosin‐containing protein (VCP) mRNA, causing the accumulation of c‐MYC protein that leads to high amounts of TERT. On the other hand, mir‐196a targets the inhibitor of NFκB (NFKBIA).
Jesús García‐Castillo, Carlos M. Martínez‐Cáceres, Manuel Bernabé‐García, Vicente Munitiz, David Ruiz de Angulo, Pascual Parrilla, Ángeles Ortiz, Luisa F. Martínez de Haro, María L. Cayuela   +8 more
wiley   +1 more source

Implementation of the Vibration Suppression Control System using Disturbance Observer to Cope with Frequency Variation.

, 2002
Katsuhiko Fuwa, Tatsuo Narikiyo
openalex   +2 more sources

Inter-observer variation in habitat survey data: investigating the consequences for professional practice [PDF]

, 2015
Andrew Cherrill
openalex   +1 more source