A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Researchers use mini plasma explosions to encode the equivalent of two million books into a coaster-sized device. The method ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

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Background The limited literature provides minimal information on clinical outcomes among patients undergoing percutaneous coronary intervention (PCI) under different healthcare funding systems, ...

Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...

Abstract: Multivariate time series (MTS) analysis prevails in real-world applications such as finance, climate science and healthcare. The various self-attention mechanisms, the backbone of the ...

Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...

Our Sports Data Analysis provides a detailed look at exclusive sports statistics, metrics, and metadata, offering a structured approach to understanding game data. This section features insights into ...

Abstract: The complexity of coupled multivariate data in industrial settings often limits the effectiveness of principal component analysis (PCA) in revealing patterns and structures in the data. In ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...

The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...