Elucidata Joins the Tetra Partner Network to Fuel Machine Learning Initiatives in Life Sciences

TetraScience, a scientific data cloud company, today announced that its Polly data-centric platform will advance biological discovery with ML-enabled biomedical data Elucidata will advance the use of machine learning (ML) in research, accelerating development announced that it has joined the Tetra Partner Network for of life sciences. In the Tetra Scientific Data Cloud.

“Where machine learning has encountered large-scale, organized scientific data sets, fundamental breakthroughs have been derived”, “By combining over 1.5 million ML-ready datasets curated by Polly with contextualized experimental data from the Tetra Scientific Data Cloud, our partnership accelerates data-driven discoveries.

Alan Millar, Ph.D., V.P., Tetra Partner Network

Successful ML initiatives are based on high-quality data. Elucidata’s Polly provides access to clean, curated biomedical datasets suitable for any tool, pipeline, or ML model. Used on his 1.5+ million datasets from a variety of public sources, Polly leverages proprietary Biometric Natural Language Processing (NLP) technology to rapidly curate biomedical data with human-level accuracy To do. Elucidata’s customers are using these datasets to shorten the drug target identification process critical to therapeutics development from 1-2 years to just a few months, accelerating time to patient acquisition .

Many biopharmaceutical companies recognize the potential of ML, but most have yet to do the data engineering necessary to make scientific data fluid and actionable. Tetra Scientific Data Cloud centralizes and harmonizes scientific data into a vendor-neutral format, Tetra Data, and makes it available for advanced analysis.

“R&D teams typically have to spend 80% of their time sourcing and preparing data before they can even run an algorithm”, “By partnering with Tetrascience we can combine data engineering with Bio-NLP to scale efficiency and de-risk ML initiatives with high quality datasets”

Abhishek Jha, Co-Founder and CEO, Elucidata


“The Tetra Scientific Data Cloud uniquely produces Tetra Data which efficiently and expeditiously moves biopharmaceutical customers up the data journey to their ultimate goal of utilizing ML”, “We are pleased to partner with forward-looking partners such as Elucidata who are delivering powerful solutions based on open movement of engineered scientific data.”

Patrick Grady, Chairman and CEO, TetraScience