Results 21 to 30 of about 2,959,450 (344)

Pan-cancer patterns of cuproptosis markers reveal biologically and clinically relevant cancer subtypes

open access: yesBiomarker Research, 2023
Cuproptosis is a newly discovered type of cell death triggered by copper accumulation. Here we exhibited the genetic profiles of 10 cuproptosis-associated genes (CuAGs) across 21 cancer types.
Fanqin Bu   +5 more
doaj   +1 more source

Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods

open access: yesIEEE Access, 2020
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of computerised analysis for skin lesions.
M. Goyal   +4 more
semanticscholar   +1 more source

The basolateral amygdala has a critical role in food-matched visual-cue memory and post-ingestion food preferences in rats [PDF]

open access: yesThe Iranian Journal of Veterinary Science and Technology, 2021
The Basolateral Amygdala (BLA) has been shown to have an important role in food-related learning behaviors. Using a novel approach, we have evaluated the role of BLA in food preference and Food memory related to visual cues in rats. Thirty-two adult male
Mahnaz Zamyad   +4 more
doaj   +1 more source

Exosomal Sonic Hedgehog derived from cancer‐associated fibroblasts promotes proliferation and migration of esophageal squamous cell carcinoma

open access: yesCancer Medicine, 2020
Esophageal squamous cell carcinoma (ESCC) is one of the most common and aggressive malignancies in China. Cancer‐associated fibroblasts (CAFs) can actively communicate with and stimulate tumor cells, thereby contributing to the development and ...
Guiping Zhao   +6 more
doaj   +1 more source

Post-stroke deficit prediction from lesion and indirect structural and functional disconnection.

open access: yesBrain : a journal of neurology, 2020
Behavioural deficits in stroke reflect both structural damage at the site of injury, and widespread network dysfunction caused by structural, functional, and metabolic disconnection.
A. Salvalaggio   +4 more
semanticscholar   +1 more source

Non-alcoholic fatty liver is associated with increased risk of irritable bowel syndrome: a prospective cohort study

open access: yesBMC Medicine, 2022
Background The relationship between non-alcoholic fatty liver degree as well as non-alcoholic fatty liver disease (NAFLD) and irritable bowel syndrome (IBS) remains poorly understood.
Shanshan Wu   +6 more
doaj   +1 more source

Mass spectrometry‐based extracellular vesicle micromolecule detection in cancer biomarker discovery: An overview of metabolomics and lipidomics

open access: yesView, 2023
Extracellular vesicles (EVs) become one of the most important sources of cancer biomarkers during the past decade due to their wide distribution in body fluids and physiological stability.
Liyi Bai   +4 more
doaj   +1 more source

DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

open access: yesJournal of Medical Imaging, 2018
. Extracting, harvesting, and building large-scale annotated radiological image datasets is a greatly important yet challenging problem. Meanwhile, vast amounts of clinical annotations have been collected and stored in hospitals’ picture archiving and ...
K. Yan, Xiaosong Wang, Le Lu, R. Summers
semanticscholar   +1 more source

Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes

open access: yesTranslational Oncology, 2017
BACKGROUND: Gastric cancer (GC) is the fifth leading cause of cancer-related deaths worldwide. As an effective and easily performed method, microscopy-based Lauren classification has been widely accepted by gastrointestinal surgeons and pathologists for ...
Li Min   +8 more
doaj   +1 more source

Data Augmentation for Skin Lesion Analysis [PDF]

open access: yesOR 2.0/CARE/CLIP/ISIC@MICCAI, 2018
Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited.
Fábio Perez   +3 more
semanticscholar   +1 more source

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