Discovery
Made Simple
Our proprietary Knowledge Mapping technology employs spatial and heuristic reasoning across billions of interconnected entities.
It’s easy-to-use and helps to discover hidden relationships between genes, diseases, pathways, drugs and biological functions.
Knowledge Map
Like an AI-enabled research assistant, Knowledge Maps gather documents and data according to explicit criteria, enabling the user to find connections across the biomedical universe. The Knowledge Map is the core of our platform and satisfies many use cases, including:
- Basic research
- Translational research
- Literature review
- Hypotheses generation
Drug Discovery
Our Drug Map connects drugs and chemicals to targets and indications through the lens of bioavailability, trials, SARs and PG effects. We provide detailed data on interactions that make it a highly efficient tool for in silico analysis, including:
- Target identification
- Drug repurposing
- PK/PD modelling
- Drug safety & efficacy
Trials Map
Our Trials Map extrapolates outcome, endpoint and safety data from global clinical trials for competitive risk assessments, as well as numerous tools that measure complex interactions, enabling pipeline, biomarker and cross-therapy mapping, and can be used for:
- Longitudinal comparison
- Recruitment rates
- Adverse events
- Treatment analysis
Omics Analysis
This tool can identify pathways that are enriched by and overlap with one or more genes, and provides analysis and statistics across multiple databases, and is species-specific. The added ability to connect gene variants (SNVs, Indels, Deletions, CNAs) with known cancer biomarkers, allows for:
- Gene enrichment analysis
- Pathway identification
- Variant analysis
- Clinical interpretation