The Multi-layer Hypergraph enables scientists to explore conjectures, questions and hypotheses through a Conversation Canvas to generate novel insights in the form of further hypotheses, evidence and claims data.
It utilizes a dynamic, evolvable and context-based data network, composed of several layers that correspond to various functional areas in life science research and development; e.g. study, subject, treatment and measurement.
The Hypergraph enables the navigation of, and exploration and inference within, multi-dimensional entities and relationships across the layers.
At the core of e[datascientist], the Multi-layer Hypergraph provides an axiomatic framework for logical, data-driven innovation throughout the entire scientific journey.
It supports multi-disciplinary and cross-team users throughout the entire R&D process, from hypothesis generation, to causal analysis, data valuation, and evidential support for product claims.
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.
