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.
Multi-criteria decision making framework to define, select and prioritize virtual cohorts. Create virtual cohorts and apply customizable valuation models for prioritization. Perform meta-analysis and downstream cohort data exploration. Generate and export interactive reports.
Multi-criteria decision making framework to select, prioritize and optimize targets. Collaboratively apply and modify valuation models to prioritize targets. Downstream target data exploration, prioritization model tuning and enhancement, and report generation.
Compose, import, maintain and share pipelines specific to many data types, and run pre-configured or customized data pipelines on platform. Visualize and tune pipelines via the knowledge graph, revealing previously unknown relationships in the data.
Accelerate the time to evidence, assemble and repurpose evidence to support claims and meet emerging regulatory requirements. Collaborate across departments to enable joint and traceable decision making. Verify and validate the claim generation process.
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.
