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News and Blog

Read our stories:

Using LLMs in Life Sciences

In this brief article, the first of a series of three brief articles, we share some of our direct experience using Large Language Models (LLMs) in life science R&D.

E-book: A Formula for Valuing Life Sciences Data

Life Sciences runs on data. From high complexity omics data through to validatory assays, from clinical trials patient data through to sales and manufacturing. It is an asset and a resource that every organization relies on.

Getting Data In

This article zooms into the details of getting data in, and sees how to make it possible on a tactical level and in practice via the use of agricultural and irrigation based metaphors.

Why Data Management is the Key to Success in Life Sciences

There is no universal way to connect and model things. You need a system that will flex, that will allow you to define different data models for different modalities and different use cases. In this podcast the Wellcome Sanger Insititute and Genestack sit down and talk about the key to success in life sciences research.

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