Enhanced the adverse events database with our curation services improving the client’s text-mining pipeline sensitivity.
Our client’s requirement
The client seeks to enhance its proprietary tool for preclinical toxicity, clinical, and pharmacovigilance studies by incorporating accurate, up-to-date, and validated content related to drugs and targets into its adverse events database.
To achieve this, Excelra applied Data Curation services and scientific informatics expertise. The effort ensured high-quality structured content, aligned with scientific data management practices, making the adverse events dataset reliable for bioinformatics solutions and predictive modeling.
Our approach
Our approach centers on utilizing Excelra’s data-mining, classification, and validation services to update the database. We will extract and classify relevant information, with our expert biocurators manually validating PMIDs associated with adverse events. These validated PMIDs will then train and fine-tune the client’s text-mining pipeline for improved accuracy. Integration of the refined pipeline into the client’s system ensures ongoing efficiency and alignment with evolving needs.
Excelra further integrated Scientific Application Development for Drug Discovery methods and computational biology approaches to improve scalability. By combining curated biomedical datasets with scientific data management workflows, the client’s adverse events system was strengthened for use in preclinical research, pharmacovigilance, and clinical development.
