The e[datascientist] biology applications liberate teams of biologists from all IT and data science burdens, empowering them to define the right cohorts for analysis, identify relevant targets and run effective pipelines.
Biological questions present unique challenges of context and complexity. Without dealing with these challenges, the reliability of results is potentially compromised, jeopardizing interpretability, transferability and comparison.
e[datascientist] biology applications rely on a structured, context-aware data fabric to ensure objectivity, transparency and collaboration.
e[datascientist] biology applications are powered by the Valuation and Decision Engine of e[datascientist] platform to accelerate the time to evidence to support claims and meet emerging regulatory requirements.
e[datascientist] biology applications enable scientists to start data-driven conversations.
Create customizable virtual cohorts
Select, prioritize and optimize targets
Run and explore data pipelines
Generate robust, objective product claims