Gain real-time insights from the latest research and content published by the healthcare and life science industries. Vyasa’s Reference Data Fabric is a collection of biomedical resources that can be seamlessly searched and analyzed via powerful transformer-based deep learning models.
This unique and proprietary resource allows you to unify valuable healthcare and life science content with your internal data.
Vyasa’s Reference Data Fabric is available through a simple subscription service.
Vyasa’s Reference Data Fabric delivers access to the following resources:
Vyasa’s named entity recognition (NER) tags and categorizes terms and phrases from content within the Reference Data Fabric. NER concepts are continuously updated and refined by our deep learning models to reflect the current language of the domain and novel terms not previously mentioned in literature.
With Vyasa’s NER, you can quickly identify insights and terms of interest hidden within your data.
Reference Data Fabric
Early-stage research and target discovery requires searching the latest scientific literature which is both time and labor-intensive.
Vyasa brings these insights to your fingertips, enabling you to run queries in natural language and explore results through visual, low-code tools. Vyasa Axon collects query results from across the Reference Data Fabric. Results are represented in a dynamic knowledge graph, allowing you to uncover novel insights and relationships in their data to identify biological entities and targets.
When developing a new drug, pharmaceutical firms need to review thousands of PDFs, each hundreds of pages long, from public sources and their own repositories.
Historically, large teams have spent weeks manually processing these documents. Vyasa analyzes content from the Reference Data Fabric with proprietary deep learning models.
Vyasa Synapse retrieves the answers and automatically compiles them into easy-to-review formats including smart spreadsheets. Collectively, the protocol summaries are produced in minutes, instead of days or weeks.
Enable comprehensive biomedical literature and clinical trial reviews to identify unmet disease area needs and monitor publishing trends occurring within real-world data and real-world evidence. Identify key authors, organizations and technologies as well as sentiment and publishing focus. Detect relevant insights and emerging trends across all relevant sources. Generate semi-structured data records from vast document repositories in fractions of the time required by manual review and extraction (typically a saving of weeks to months of time per project).
Vyasa features a suite of application interfaces
for exploring your data fabric.