Results 151 to 160 of about 1,172,950 (315)
Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao +4 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
DMOFC: Discrimination Metric-Optimized Feature Compression [PDF]
arXivFeature compression, as an important branch of video coding for machines (VCM), has attracted significant attention and exploration. However, the existing methods mainly focus on intra-feature similarity, such as the Mean Squared Error (MSE) between the reconstructed and original features, while neglecting the importance of inter-feature relationships.
arxiv
Arthritis Care &Research, EarlyView.Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder +5 more
wiley +1 more source
Railway Discriminations and Industrial Combinations [PDF]
, 1900 Charles A. Prouty
openalex +1 more source
Racism and discrimination in COVID-19 responses
The Lancet, 2020 D. Devakumar +3 more
semanticscholar +1 more source
A Tutorial on Discriminative Clustering and Mutual Information [PDF]
arXivTo cluster data is to separate samples into distinctive groups that should ideally have some cohesive properties. Today, numerous clustering algorithms exist, and their differences lie essentially in what can be perceived as ``cohesive properties''.
arxiv
Ageism in Rheumatology: the Healthcare Professional's Perspective
Arthritis Care &Research, Accepted Article.Objective Ageism (age‐based stereotypes, prejudice, or discrimination) is prevalent and linked to prolonged disability and reduced lifespan in older adults. Little is known about ageism within rheumatology. This study explores the healthcare professional's (HCP) perception of the care of older adults and how ageist attitudes or perspectives may impact ...
Aaron P. Smith +4 more
wiley +1 more source