Results 241 to 250 of about 5,030,093 (326)

Formal and informal social care in people with Rheumatic and Musculoskeletal diseases: a cross‐sectional multicentre survey

open access: yesArthritis Care &Research, Accepted Article.
Introduction Rheumatic and musculoskeletal diseases(RMDs) are leading causes of physical disability, necessitating support with activities of daily living(ADLs). This study describes social care received by patients with RMDs in two disperate regions of England: Salford(urban) and Norfolk(rural).
Mehreen Somro   +6 more
wiley   +1 more source

Risk of Retinopathy Associated with Long‐Term Use of Hydroxychloroquine in Patients with Rheumatic Diseases: A Systematic Review and Meta‐Analysis

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among long‐term HCQ users with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain OCT (SD‐OCT) for screening. Methods A systematic search of PubMed, Scopus,
Narsis Daftarian   +4 more
wiley   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients with Extra‐Renal Systemic Lupus Erythematosus – A Systematic Review & Meta‐analysis

open access: yesArthritis Care &Research, Accepted Article.
Background Clinical response to Mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with SLE, particularly those with extra‐renal ...
Zahraa Qamhieh   +5 more
wiley   +1 more source

19 Searching for Similarity

open access: yes
Eric Hoyt   +3 more
openaire   +1 more source

Elpis: Graph-Based Similarity Search for Scalable Data Science

Proceedings of the VLDB Endowment, 2023
The recent popularity of learned embeddings has fueled the growth of massive collections of high-dimensional (high-d) vectors that model complex data.
Ilias Azizi   +2 more
semanticscholar   +1 more source

Similarity Search for Encrypted Images in Secure Cloud Computing

IEEE Transactions on Cloud Computing, 2022
With the emergence of intelligent terminals, the Content-Based Image Retrieval (CBIR) technique has attracted much attention from many areas (i.e., cloud computing, social networking services, etc.).
Yingying Li   +5 more
semanticscholar   +1 more source

Deep Learning Embeddings for Data Series Similarity Search

Knowledge Discovery and Data Mining, 2021
A key operation for the (increasingly large) data series collection analysis is similarity search. According to recent studies, SAX-based indexes offer state-of-the-art performance for similarity search tasks.
Qitong Wang, Themis Palpanas
semanticscholar   +1 more source

High-Dimensional Similarity Search for Scalable Data Science

IEEE International Conference on Data Engineering, 2021
Similarity search is a core operation of many critical data science applications, involving massive collections of high-dimensional objects. Similarity search finds objects in a collection close to a given query according to some definition of sameness ...
Karima Echihabi   +2 more
semanticscholar   +1 more source

Sequence Similarity Searching

Current Protocols in Protein Science, 2018
AbstractSequence similarity searching has become an important part of the daily routine of molecular biologists, bioinformaticians and biophysicists. With the rapidly growing sequence databanks, this computational approach is commonly applied to determine functions and structures of unannotated sequences, to investigate relationships between sequences,
Gang, Hu, Lukasz, Kurgan
openaire   +2 more sources

Similarity searching

WIREs Computational Molecular Science, 2011
AbstractSimilarity searching is one of the traditional and most widely applied approaches in chemical and pharmaceutical research to select compounds with desired properties from databases. The computational efficiency of many (but not all) similarity search techniques has further increased their popularity as compound databases began to rapidly grow ...
Dagmar Stumpfe, Jürgen Bajorath
openaire   +1 more source

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