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Manual No More: Automating the Scientific Data Lifecycle

Some 50-80% of research scientists' and data scientists' time is spent wrestling with data before they can focus on higher value AI/ML and advanced analysis to help bring new life-saving therapeutics to market. This paper describes how a complete reimagining of discovery and development to drive scientific outcomes leads to a new world where science is accelerated with FAIR (Findable, Accessible, Interoperable, Reusable) harmonised data in the cloud.

This white paper outlines how the Tetra Data Platform (TDP) can help solve the pervasive problem of information silos, underutilised data, and inefficient research processes that create significant drag throughout biopharma RD&M.

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