The last decade has seen an unprecedented increase in the volume and variety of electronic data related to research and development, health records, and patient self-tracking, collectively referred to as Big Data. Properly harnessed, Big Data can provide insights and drive discovery that will accelerate biomedical advances, improve patient outcomes, and reduce costs. However, the considerable potential of Big Data remains unrealized owing to obstacles including a limited ability to standardize and consolidate data and challenges in sharing data, among a variety of sources, providers, and facilities. Here, we discuss some of these challenges and potential solutions, as well as initiatives that are already underway to take advantage of Big Data.
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http://dx.doi.org/10.1111/nyas.13309 | DOI Listing |
Sci Rep
January 2025
Department of Anesthesiology, Changhua Christian Hospital, Changhua, 50050, Taiwan.
In the modern healthcare system, the rational allocation of emergency department (ED) resources is crucial for enhancing emergency response efficiency, ensuring patient safety, and improving the quality of medical services. This paper focuses on the issue of ED resource allocation and designs a priority sorting system for ED patients. The system classifies patients into two queues: urgent and routine.
View Article and Find Full Text PDFMethods
January 2025
School of Design, Hunan University, Changsha, 410082, China. Electronic address:
The electrocardiogram (ECG) is a ubiquitous medical diagnostic tool employed to localize myocardial infarction (MI) that is characterized by abnormal waveform patterns on the ECG. MI is a serious cardiovascular disease, and accurate, timely diagnosis is crucial for preventing severe outcomes. Current ECG analysis methods mainly rely on intra- and inter-lead feature extraction, but most models overlook the medical knowledge relevant to disease diagnosis.
View Article and Find Full Text PDFCir Esp (Engl Ed)
January 2025
Servicio de Cirugía General y Aparato Digestivo, Hospital Universitario Puerta de Hierro-Majadahonda, Majadahonda, Madrid, Spain.
Introduction: This study evaluates the knowledge of Spanish surgeons regarding data governance and Digital Surgery, their usage, errors, and training deficiencies, as well as differences in knowledge between those who perform robotic surgery and those who do not.
Methods: A descriptive study was conducted using a closed survey promoted by the Minimally Invasive Surgery and Technological Innovation Section of the Spanish Association of Surgeons, directed at its members between February and March 2024.
Results: Out of 1,086 surgeons contacted, 396 responded (36.
J Hepatol
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. Electronic address:
Background & Aims: Accurate multi-classification is the prerequisite for reasonable management of focal liver lesions (FLLs). Ultrasound is the common image examination, but lacks accuracy. Contrast enhanced ultrasound (CEUS) offers better performance, but highly relies on experience.
View Article and Find Full Text PDFClin Immunol
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China. Electronic address:
Backgrounds: The association between chromatin accessibility in CD4 T cells and Immunoglobulin A nephropathy (IgAN) remains unclear.
Methods: We performed the assay for transposase accessible chromatin with sequencing (ATAC-seq) and RNA sequencing (RNA-seq) on CD4 T cells. ATAC-seq and RNA-seq were conducted to identify differentially accessible regions and differentially expressed genes (DEGs), respectively (P < 0.
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