In biomedical research, data silos are isolated repositories of information accessible only to specific departments, teams, or organizations. These silos emerge as a natural consequence of the diverse sources and proprietary systems that generate data in the field. Clinical data, genomic sequences, proteomic datasets, and imaging files are often stored separately, each following its own standards, formats, and storage mechanisms. While this setup might suit individual teams, the lack of interconnectedness leads to fragmented data ecosystems that are difficult to integrate and analyze holistically.
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Author: elucidata .io
Website: https://www.elucidata.io/ Website: https://www.elucidata.io/ Elucidata leverages its platform, Polly to augment the quality of data in pre-clinical drug discovery. It curates multi-omics and assay data to make them ML-ready or analysis-ready. Our exceptional multi-disciplinary team of experts use Polly’s powerful curation engine to harmonize a diverse array of data-types, curate metadata and process data consistently at affordable costs while maintaining information-richness. We are one of the only companies to offer a tech-enabled approach to multi-modal data curation that serves the life science industry. Polly’s technology and experts have helped R&D teams arrive at multiple validated drug targets across immunology, oncology, and metabolomic disorders. Currently, 25+ research organizations, including 4 of the largest 10 pharma companies are using Polly and its allied solutions to accelerate their discovery programs. Many other data-driven healthcare companies also use Polly to process, harmonize and store public or in-house biomedical data. Address: 114 Sansome Street, Suite 250 San Francisco, CA 94104 Phone No: 9716140329 Contact Email: info@elucidata.io
