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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
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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
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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
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Elpis: Graph-Based Similarity Search for Scalable Data Science
Proceedings of the VLDB Endowment, 2023The 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, 2022With 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
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Deep Learning Embeddings for Data Series Similarity Search
Knowledge Discovery and Data Mining, 2021A 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
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High-Dimensional Similarity Search for Scalable Data Science
IEEE International Conference on Data Engineering, 2021Similarity 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
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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
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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
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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
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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
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