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The Department of Human Genetics at MHH speeds genetic diagnostics while maintaining digital sovereignty using AWS

The Department of Human Genetics at Hannover Medical School (MHH) uses Amazon Web Services (AWS) to massively accelerate whole-genome sequencing analysis, cutting processing times from several hours to 1 hour while keeping highly sensitive genetic data safe.

Overview

The Department of Human Genetics at MHH processes thousands of patient samples up to 8 times faster powered by Amazon Web Services (AWS). Benedikt Schnur, who leads bioinformatics and information technology at the Department of Human Genetics at MHH, says the combination of speed, scale, and compliant cloud infrastructure is helping deliver faster diagnostic insight for patients.

About Hannover Medical School (MHH)

Hannover Medical School (MHH), founded in 1965, is Germany’s only independent, free-standing medical university. Operating on a centralized campus in Hanover, Lower Saxony, it integrates a maximum-care tertiary hospital, elite biomedical research units, and academic teaching under a single umbrella.

Scaling cost-effectively with AWS to speed sample processing

MHH is one of Germany’s largest hospitals, and its Human Genetics Department alone processed more than 10,000 patient samples in 2025. With the cost of genetic analysis dropping a thousand-fold over the last 15 years, demand has surged and efficiency has become essential. Schnur’s team relies on AWS Batch, Amazon Simple Storage Service (Amazon S3), and Amazon Elastic Compute Cloud (Amazon EC2)—including specialized Illumina Dynamic Read Analysis for GENomics (DRAGEN) instances—to handle high-volume sequencing workloads with the speed and consistency essential for modern diagnostics.

Using AWS, the department has the compute capacity required for rapid, large-batch sequencing. “The scalability of AWS is a huge advantage for us. We typically generate batches of samples that need to be processed as fast as possible, and AWS gives us scale and flexibility. By utilizing AWS, we cut down on our processing time by 4 to 8 times,” says Schnur. “Parallel processing gives us the power we need to give the patients the answers as fast as possible.”

Preparing for AI-driven care with strong sovereignty

The Department of Human Genetics at MHH is looking to apply AI across the entire patient journey, giving physicians a unified, AI-supported view of patient information and ultimately enabling faster, more precise decisions at every stage of care. For Schnur, the opportunities span advanced genomics and AI, where access to patient data is essential to unlocking new possibilities. “Genetic data is the blueprint for your whole body,” he says. “Taking care of that data is not only important for us, but also for our patients.”

As the Department of Human Genetics at MHH expands its genomics and AI work, AWS provides the secure cloud environment needed to handle this sensitive information, with the organization planning to migrate to the AWS European Sovereign Cloud in the future. “We’re very excited to see AWS investing in the AWS European Sovereign Cloud as data residency is really important in our sector,” says Schnur. “That can make a huge difference to the stuff we’re able to realize in the cloud.”

We’re very excited to see AWS investing in the AWS European Sovereign Cloud as data residency is really important in our sector. That can make a huge difference for the stuff we’re able to realize in the cloud.

Benedikt Schur

Bioinformatics and Information Technology Lead, Department of Human Genetics, Hannover Medical School (MHH)

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