Results 101 to 110 of about 150,893 (291)

As how artificial intelligence is revolutionizing endoscopy [PDF]

Clinical Endoscopy
With incessant advances in information technology and its implications in all domains of our lives, artificial intelligence (AI) has emerged as a requirement for improved machine performance.
Jean-Francois Rey
doaj   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Computer assisted strabismus/amblyopia diagnosis

, 1984
Computer assisted strabismus/amblyopia ...
Paris, George, Reidy, John
core  

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Diagnostic value of a computer-assisted diagnosis system for the ultrasound features in thyroid nodules. [PDF]

Arch Endocrinol Metab, 2023
Wang Y, Yu M, He M, Zhang G, Zhang L, Zhang B.   +5 more
europepmc   +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

Computer-assisted diagnosis of acute Crohn's disease

Journal of British Surgery, 1980
Abstract A study comparing the symptoms and signs of patients with acute Crohn's disease and those with acute appendicitis and intestinal obstruction is reported and a preliminary evaluation of computer-assisted diagnosis in this problem is given. There are significant differences between the three conditions.
S J, Nixon, J S, Rundle
openaire   +2 more sources

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Intelligent systems for computer-assisted clinical endoscopic image analysis

, 2004
The importance of computer-assisted diagnosis in endoscopy is to assist the physician in detecting the status of tissues by characterising the features from the endoscopic image.
Boulougoura, M., Kodogiannis, V., Wadge, E., Chowdrey, H.S.   +3 more
core  

Computer-assisted diagnosis for an early identification of lung cancer in chest X rays. [PDF]

Sci Rep, 2023
Juan J, Monsó E, Lozano C, Cufí M, Subías-Beltrán P, Ruiz-Dern L, Rafael-Palou X, Andreu M, Castañer E, Gallardo X, Ullastres A, Sans C, Lujàn M, Rubiés C, Ribas-Ripoll V.   +14 more
europepmc   +1 more source