AI case study

One BiosciencesGenomic data analysis

Massive single-cell datasets overwhelmed a small team. GPU-powered analysis slashed research time from decades to months.

Published|1 year ago

Key results

Profiles Per Sample
10,000s
vs one RNA profile per sample
Dev Timeline Target
3-4 years

Result highlights

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The story

Context

A biotech company specialized in cancer research analyzes individual cells rather than averaging data, generating tens of thousands of unique RNA profiles per sample.

Challenge

Cell-by-cell sequencing generates massive datasets requiring complex alignment algorithms usually reserved for smaller-scale analyses. A small...

Solution
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Quotes

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The company

One Biosciences logo

One Biosciences

onebiosciences.fr

AI-powered single-cell analysis platform for oncology diagnostics and therapeutics.

IndustryPharmaceuticals & Biotech
LocationParis, France
Employees11-50
Founded2020

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

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