We provide advanced data intelligence solutions for biomedical research, enabling efficient extraction of knowledge from structure and unstructured sources, and subsequent data management, and integration. Our services include information extraction, custom taxonomy development, data harmonization and cross-linking, document annotation and enrichment of scientific and clinical data. We can help automate in-house curation, streamline workflows, and make unstructured data AI-ready for research and discovery. We can help structure and normalize information, enhance data interoperability, accelerate innovation, and improve decision-making for researchers, healthcare organizations, and pharmaceutical companies.
Our services include:
Terminology
- Annotation of documents with key concepts and relationships to improve management, navigation and searching of large collection of documents
- Building of customized knowledge models to suit needs of specific projects and domains
- Building of customized taxonomies for specific projects and applications
- Harmonize and integrate internal data with public domain taxonomies or ontologies
- Mapping and cross-referencing of data into standard nomenclatures, such as RXNORM, LOINC, ICD-10 or SNOMED, ensuring consistency and interoperability
Information Extraction
- Extraction of detailed information from scientific publications such as protein interactions, drug action mechanisms, toxicity and adverse events, disease biomarkers, clinical trials, genotypes and phenotypes, expression patterns, patient population, drug concentrations, etc.
- Transforming your unstructured data to make it amenable to computational analysis
- Building targeted knowledge bases for various life science domains, including diseases, genes, genetic variants, drugs, assays
- Summarizing, categorizing and clustering your data to discover hidden patterns and get meaningful insights, and accelerate and improve research efficiency
- Building large datasets for training or benchmarking AI/ML algorithms
Custom software development and system integration
- Use our technological software library to build internal data processing, annotation and harmonization pipelines
- Automate and accelerate internal data curation efforts
- Automate and improve internal data processing and document workflows
- Identify and collect targeted corpus of documents for specific projects or domains based on their informational content
- Enrich and link your experimental/omics datasets to scientific literature
- Ingest and harmonize public data in unstructured or semi-structured form (patents, clinical trials, reports, etc.)
- Analyze internal data for consistency, detect data aberrations and anomalies