Results 51 to 60 of about 83,162 (185)
Desarrollo y evaluación de un repositorio para usos secundarios conforme a OMOP-CDM para la cohorte CoRIS [PDF]
Cada vez más instituciones de investigación, sanitarias, consorcios científicos, etc., despliegan registros y redes de registros de investigación para el uso secundario de datos, que permiten la incorporación e intercambio automatizado de datos, acceso ...
Moreno-Prieto, Cristina +7 more
core +1 more source
Healthcare delivery and health outcomes of patients could significantly improve if the different electronic health systems of medical institutions were interoperable, that is if they could exchange and combine their data in a meaningful way. In addition,
Thun, S, Rinaldi, E
core +1 more source
BackgroundPatient-monitoring software generates a large amount of data that can be reused for clinical audits and scientific research. The Observational Health Data Sciences and Informatics (OHDSI) consortium developed the Observational Medical Outcomes ...
Mathilde Fruchart +5 more
doaj +1 more source
Automatic Data Transfer from OMOP-CDM to REDCap: A Semantically-Enriched Framework [PDF]
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Emanuele Girani +5 more
openaire +4 more sources
Background Epidermal growth factor receptor–tyrosine kinase inhibitors (EGFR‐TKIs) have substantially improved outcomes in non‐small cell lung cancer (NSCLC); however, the development of treatment resistance remains a major clinical challenge. This study examines the association between concomitant prescriptions of H1‐antihistamines (H1AHs) and ...
Van Thuan Nguyen +10 more
wiley +1 more source
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Background Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data.
Aurore Nishimwe +22 more
doaj +1 more source
BackgroundAccurate and rapid clinical decisions based on real-world evidence are essential for patients with cancer. However, the complexity of chemotherapy regimens for cancer impedes retrospective research that uses observational health databases.
Jeon, Hokyun +6 more
doaj +1 more source
Despite the immunomodulatory mechanism of immune checkpoint inhibitors (ICIs), systemic glucocorticoids are commonly used in advanced non–small cell lung cancer (NSCLC). Evidence regarding their effects on ICI outcomes is inconsistent, in part due to confounding by indication and immortal time bias.
Da Eun Lee +13 more
wiley +1 more source

