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Precision Medicine Genomics Analytics

Client
Biotechnology Research Firm
Industry
Healthcare
Services
Data Intelligence
Case Study Cover

The Challenge

Researchers were drowning in raw genomic data, unable to quickly identify genetic markers relevant to rare diseases.

Client Overview

A leading biotech firm focused on personalized cancer therapies.

Solution Components

Genomic Data Lakehouse

AI Variant Calling Pipeline

Patient Cohort Analysis Dashboard

Challenges & Risks

1

Petabytes of unstructured genomic data

2

Inability to correlate genotypes with phenotypes

3

Slow computation times for variant analysis

Key Impact

accelerated
drug target identification by 400%
Processed
whole human genomes in 20 minutes
Enabled
5 breakthrough therapies in 1 year

The Solution

A cloud-native genomics platform that pipelines raw sequencing data into actionable insights using ML-driven variant classification.

Tech Stack

AWS HealthOmicsApache SparkPythonTensorFlow
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