AI Case Study

Translational Genomics Research Institute significantly improves paediatric cancer last resort treatments by offering individualised therapies using machine learning to analyse genome

Translational Genomics Research Institute (TGen) uses machine learning to rapidly sequence genomes and make sense of disparate big data to develop individualised therapy plans for patients, achieving targeted and more efficient R&D plans and trials. This has also led to life-saving results for dozens of patients.

Industry

Healthcare

Healthcare Providers And Services

Project Overview

"Processing patient tumor information and prediction of best drugs for a specific patient generates more than 200 billion measurements per patient that must be analyzed, shared and stored."

"TGen uses machine learning to rapidly sequence genomes and make sense of disparate big data to develop individualized therapy plans for patients achieving targeted and more efficient R&D plans and trials. This has also lead to life-saving results for dozens of patients."

"The Dell solution and TGen software decreased RNA-Seq data analysis time from 7 days to 4 hours."

Reported Results

Results reported:

* Able to stop cancer from progressing in 60% cases
* Slightly improved remission rates
* Decreased RNA-Seq data analysis time from 7 days to 4 hours

Technology

Function

R And D

Core Research And Development

Background

TGEN is a non-profit genomics research institute based in Arizona, United States.

Benefits

Data

More than 200 billion data points per patient must be analysed, shared and stored.