Precision Medicine Genomics Analytics

Client
Biotechnology Research Firm
Industry
Healthcare
Services
Data & Analytics
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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