Results 121 to 130 of about 11,852,880 (383)

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

open access: yesMolecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz   +15 more
wiley   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

open access: yesMolecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed   +10 more
wiley   +1 more source

An Ensemble Model for Fundus Images to Aid in Age-Related Macular Degeneration Grading

open access: yesDiagnostics
Background: Age-related macular degeneration (AMD) is a leading cause of visual impairment in the elderly population. Periodic examinations through fundus image analysis are paramount for early diagnosis and adequate treatment.
Roberto Romero-Oraá   +5 more
doaj   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

open access: yesMolecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son   +13 more
wiley   +1 more source

Implementation of XpertMalTyph: An Expert System for Medical Diagnosis of the Complications of Malaria and Typhoid [PDF]

open access: yes, 2013
The dearth of medical experts in the developing world has subjected a large percentage of its populace to preventable ailments and deaths. Also, because of the predominant rural communities, the few medical experts that are available always opt for ...
Adetiba, E.   +2 more
core  

A Fast Medical Image Super Resolution Method Based on Deep Learning Network

open access: yesIEEE Access, 2019
Low-resolution medical images can hamper medical diagnosis seriously, especially in the analysis of retina images and specifically for the detection of macula fovea.
Shengxiang Zhang   +3 more
doaj   +1 more source

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

open access: yesMolecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués   +3 more
wiley   +1 more source

INTEGRATING ARTIFICIAL NEURAL NETWORKS FOR DEVELOPING TELEMEDICINE SOLUTION [PDF]

open access: yesBuletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice, 2015
Artificial intelligence is assuming an increasing important role in the telemedicine field, especially neural networks with their ability to achieve meaning from large sets of data characterized by lacking exactness and accuracy.
Mihaela GHEORGHE
doaj  

Attentional Pattern Classification for Automatic Dementia Detection

open access: yesIEEE Access, 2019
This paper proposes a novel technique for the automatic detection of dementia based on the attentional matrices test (AMT) for selective attention assessment.
Maria Teresa Angelillo   +4 more
doaj   +1 more source

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

open access: yesIEEE journal of biomedical and health informatics, 2018
Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition.
J. Thevenot   +2 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy