Results 1 to 10 of about 1,099,627 (374)
Engineered T cell therapies have shown significant clinical success. However, current manufacturing capabilities present a challenge in bringing these therapies to patients.
Natalie Francis +12 more
doaj +1 more source
In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance.
Mohammad Mustafa Taye
semanticscholar +1 more source
Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
Myocardial tissue T1 constitutes a reliable indicator of several heart diseases related to extracellular changes (e.g. edema, fibrosis) as well as fat, iron and amyloid content.
Gaspar Delso +11 more
doaj +1 more source
As the number of coronary computed tomography angiography (CTA) examinations is expected to increase, technologies to optimize the imaging workflow are of great interest.
Florian Andre +12 more
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Background: Patients with large vessel occlusion (LVO) stroke are often initially admitted to a primary stroke center (PSC) and subsequently transferred to a comprehensive stroke center (CSC) for endovascular thrombectomy (EVT).
Laura C. C. van Meenen +9 more
doaj +1 more source
Phosphorylation events catalyzed by protein kinases represent one of the most prevalent as well as important regulatory posttranslational modifications, and dysregulation of protein kinases is associated with the pathogenesis of different diseases ...
Aileen Roth +5 more
doaj +1 more source
Guide to Metabolomics Analysis: A Bioinformatics Workflow
Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics is to identify the metabolites corresponding to each biological phenotype, and then provide an analysis of the mechanisms involved ...
Y. Chen, E. Li, Li-Yan Xu
semanticscholar +1 more source
Expanding horizons and navigating challenges for enhanced clinical workflows: ChatGPT in urology
Purpose of reviewChatGPT has emerged as a potential tool for facilitating doctors' workflows. However, when it comes to applying these findings within a urological context, there have not been many studies. Thus, our objective was rooted in analyzing the
Ali Talyshinskii +8 more
doaj +1 more source
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Edge computing is a novel technology, which is closely related to the concept of Internet of Things. This technology brings computing resources closer to the location where they are consumed by end-users—to the edge of the cloud.
Nebojša Bačanin +4 more
semanticscholar +1 more source
We have developed a LCMS metabolomic workflow to investigate metabolic patterns from human intestinal cells treated with simulated gastrointestinal-digested hydrolyzed crab waste materials.
Fionn Ó Fearghail +3 more
doaj +1 more source

