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News and Blog

Read our stories:

"Pharma's Data Fabric Was Always for Humans. AstraZeneca Just Defined What It Looks Like for AI Agents."

There's a shift in how big pharma talks about AI happening this month, and it hasn't fully registered yet. AstraZeneca's R&D and Enterprise AI leadership just published the clearest articulation yet of what AI-era R&D requires as foundational infrastructure, and what a data fabric needs to be when the primary consumer is no longer a human analyst but an AI agent. Genestack Founder and CEO Misha Kapushesky on what the paper gets right, where the implementation is harder than it sounds, and why the semantic layer above the data platform is the work of the next two years.

Unlocking Neuroinformatics: EEG & Multi Omics Synergy with Genestack ODM

Unlock new insights in brain research with Genestack’s Open Data Manager (ODM). This article shows how to effortlessly integrate EEG data with multi-omics, overcoming challenges like data volume and security. By combining diverse datasets, ODM accelerates discoveries in neuroinformatics, making it an essential tool for advancing our understanding of brain diseases.

Six Steps to FAIR Data: How FAIR data enables searches to power your research and LLMs

Boost your research with FAIR data! Our latest article shows how making data Findable, Accessible, Interoperable, and Reusable (FAIR) transforms scientific inquiry and accelerates breakthroughs. Discover how FAIR principles and tools like Large Language Models (LLMs) help you find the right datasets and avoid redundant experiments, enabling smarter, data-driven decisions.

City University of New York Partners with Genestack to Enhance AI readiness of Life Science Data in the Bioconductor Program

CUNY (City University of New York) and Genestack Ltd are pleased to announce their collaboration aimed at streamlining data curation for the BioConductor program. This innovative partnership brings together the expertise of CUNY in biomedical research and Genestack's advanced data management platform, offering significant benefits to researchers in the field.

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.

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