Results 81 to 90 of about 189,072 (321)
iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge [PDF]
In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources. Identifying and extracting specific information is a challenging task and computational analysis of knowledge bases can be valuable in this direction.
arxiv
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli+15 more
wiley +1 more source
Jorge Andres Olave-Rodriguez,1 Francisco Javier Bonilla-Escobar,2– 4 Estephania Candelo,5,6 Lisa Ximena Rodriguez-Rojas1,7 1Universidad Icesi, Faculty of Health Sciences, Cali, Colombia; 2Somos Ciencia al Servicio de la Comunidad, Fundación SCISCO ...
Olave-Rodriguez JA+3 more
doaj
ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development [PDF]
Utilizing natural history data as external control plays an important role in the clinical development of rare diseases, since placebo groups in double-blind randomization trials may not be available due to ethical reasons and low disease prevalence. This article proposed an innovative approach for utilizing natural history data to support rare disease
arxiv +1 more source
The sexy and formidable male body: men's height and weight are condition-dependent, sexually selected traits [PDF]
On average men are taller and more muscular than women, which confers on them advantages related to female choice and during physical competition with other men. Sexual size dimorphisms such as these come with vulnerabilities due to higher maintenance and developmental costs for the sex with the larger trait.
arxiv +1 more source
A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies [PDF]
The development of machine learning systems for the diagnosis of rare diseases is challenging mainly due the lack of data to study them. Despite this challenge, this paper proposes a system for the Computer Aided Diagnosis (CAD) of low-prevalence, congenital muscular dystrophies from confocal microscopy images.
arxiv
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan+7 more
wiley +1 more source
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network [PDF]
Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR) images is essential for developing quantitative biomarkers for muscular disease progression and its prediction. Achieving clinically acceptable results is a challenging task due to large variations in muscle shape and MR appearance. Although deep convolutional
arxiv
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai+6 more
wiley +1 more source
Background Despite the increasing availability of clinical trials in Duchenne muscular dystrophy, racial/ethnic minorities and other populations facing health disparities remain underrepresented in clinical trials evaluating products for Duchenne.
Norah L. Crossnohere+11 more
doaj +1 more source