Standardizing and Integrating Clinical Trial Data
Using artificial intelligence to accelerate research and discovery through seamless clinical trial data integration.
Our Features
BioSync offers a comprehensive solution for clinical trial data standardization and integration.
Data Standardization
Convert clinical trial data from various formats into standardized common data models (CDMs) automatically.
AI-Powered Conversion
Leverage cutting-edge large language models to intelligently map variables between different data structures.
Seamless Integration
Merge data from multiple sources into a unified dataset, eliminating silos and enabling comprehensive analysis.
Time and Cost Savings
Reduce the need for manual data conversion, saving valuable time and resources for clinical trial teams.
Scalable Solution
Handle datasets of any size, from small academic trials to large multi-center studies with ease.
User-Friendly Interface
Intuitive interface designed for clinical researchers, no coding or technical expertise required.
Our Solution
How BioSync solves the challenges of clinical trial data standardization
BioSync AI Platform
Using LLMs to Automate Data Conversion and Integration
Import Raw Data
Upload your clinical trial data from any source, in any format. Our system accepts a wide range of file types.
AI-Powered Mapping
Our large language model analyzes your data and intelligently maps variables to the selected Common Data Model (CDM).
Data Reorganization
The system automatically restructures your data according to the tables and relationships specified by the chosen CDM.
Seamless Integration
Multiple datasets are merged into a unified, standardized format, ready for analysis and research.
About Us
Learn about BioSync and our mission to transform clinical trial data management.
Our Mission
We want to build this because clinical trials are evolving, but the management of decentralized data isn't keeping up. Manual formatting into common data models is inefficient, costly, and prone to error.
Our solution automates this, enabling seamless, accurate data integration across CDMs, which saves time, reduces costs, and accelerates research. It's a simple, scalable tool that meets a massive unmet need in clinical data interoperability.
Our Unique Insight
Our unique insight is that the true bottleneck in clinical trial data standardization isn't data quality, it's the lack of automation in mapping disparate variable names to CDM-specific structures.
By training an LLM on CDM-specific vocabularies and synonyms, we can intelligently automate this mapping process at scale. This allows flexible conversion between CDMs, which is something no current tool supports end-to-end.