Big Data Enhances Longitudinal Biomarker Discovery
AstroID is a scalable database that integrates diverse cancer data—including lab results, genetic sequencing, imaging, and specimen details—into a single, queryable framework. Organized in six hierarchical tiers covering deidentified patient information, diagnoses, clinical events, specimens, lab processing, and individual slides or aliquots, AstroID allows longitudinal analysis across multiple tumor types and patient cohorts. Built on the REDCap platform, it currently supports 16 patient groups and over a billion spatially mapped cells linked to clinical information. By consolidating historical and current clinical, pathological, radiographic, and genomic data, the system enables researchers to ask complex, cross-cohort questions without repeating data collection. Developed by postdoctoral and graduate researchers, AstroID’s hierarchical structure translates easily into a relational database, allowing studies of hundreds or thousands of patients, and though it is now applied to cancer, it could support longitudinal biospecimen research in other diseases. The platform is publicly available on GitHub, with exported data usable for independent clinical outcome studies or combined with biomarker and scientific correlates, offering a powerful, efficient tool for multi-dimensional, longitudinal biomedical research.
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