Create and explore customizable virtual cohorts
It is challenging to apply a systematic approach to identify the key characteristics that best define a cohort. Life scientists often know they are missing relevant cohort features.
Teams need a structured environment to appropriately select relevant stratification criteria, perform cohort analyses and generate traceable results.
Comparison between different studies which do not follow the same standard often leads to invalid or incomplete results, owing to the lack of standardized contextual metadata.
e[cohort] generates reliable and reproducible results via unconstrained, data-driven virtual cohorts underpinned by the e[datascientist] valuation engine.
Create virtual cohorts of subjects based on multiple selection criteria (e.g. genotype, phenotype, indication, biomarker, treatment regime, etc.)
Apply and maintain (store, share, reuse) customizable valuation models to rank and prioritize virtual cohorts
Perform meta-analysis and downstream cohort analysis, using tools to help with network exploration, statistical models, subgroup comparisons and stratification
Generate interactive visualizations of data, and present results in the most compelling, informative way
Export comprehensive reports within minutes, ensuring traceability, transparency and collaboration
Build unconstrained virtual cohorts driven by a robust valuation framework
Define cohorts in a collaborative environment, ensuring informed stakeholder alignment
Evidence cohort priorities with justifiable criteria based on true data characteristics
Identify indicative correlations and use causal analysis to confirm/refute causal interactions
Inform future follow-up experimental and in silico studies to accelerate innovation
Ready to get started?
Explore the platform
Augment the internal data estate with an industry-defining data universe designed to accelerate collaborative innovation in the microbiome space.
low-code customer apps
Compose robust low-code applications covering a range of business needs. Extend e[datascientist] to deliver custom capabilities and experiences.
Innovating for a better future
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.