Extracting insights from omics and other data modalities.

E-book Download: Unlock Greater Insights with Multi-modal & Multi-omics Data Integration & Analysis

Download the new multi-modal & multi-omics E-book and learn how AWS can power the new era of data-driven personalized health with both native services and AWS Partner solutions. 

Generating more holistic insights from your data

From research, to drug discovery, to the point of care, the unified analysis of various forms of medical and omics data is helping researchers and clinicians generate new insights and offer more personalized care.

To make it easier for healthcare and life sciences organizations to unify and analyze multiple data modalities, AWS for Health offers a curated portfolio of purpose-built AWS and AWS Partner solutions.

With AWS, health organizations can more easily unify siloed data, transform unstructured medical data, and conduct intensive querying and search. 

Transform Genomic and Biological Data Into insights with AWS HealthOmics (2:10)

Simplifying Muti-modal & Multi-omics with AWS for Health

Whether looking to build a bespoke solution or an out-of-the-box implementation, AWS for Health provides purpose-built services, industry tools, and partner solutions to help unify and analyze varying forms of medical data. 

Easily unify siloed data

Unify disparate structured and unstructured datasets within a secure and compliant environment. 

Quickly transform unstructured data
Accelerate the transformation of unstructured medical data, such as medical imaging and unstructured medical text, for downstream analysis.
Simplify querying and search
Visualize data with the seamless generation of dashboards and leverage powerful AI/ML and HPC offerings to rapidly search and query at-scale.

Customer stories

Advancing personalized healthcare using multi-modal data on AWS

Roche developed Apollo on AWS to streamline and scale multi-modal analysis, uniting real-world clinical trial, imaging, pathology, radiology, electronic health records (EHRs), wearables, and genomic data. 

Roche reduced time to process EHR data from 2 days down to minutes, cost-efficiently scaled to store data from over 200,000 patients, and support 1,300 scientists across 40 Roche sites globally. 

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“The Crown” in the cloud

Philips’ oncology solution built on Philips Healthsuite and powered by AWS uses multimodal data to inform personalized cancer care

Philips’ oncology solution built on Philips Healthsuite and powered by AWS uses multimodal data to inform personalized cancer care.

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How Winnie-the-Pooh sparked Method Melbourne’s journey to cloud rendering

Catalyzing the next generation of cancer care

Genomics England uses AWS to combine disparate data sets that were previously siloed and held in different formats and systems, across different health disciplines. Now, the organization uses AWS AI and ML to analyze the data in tandem, generating a more holistic picture of cancer.

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Weta Digital goes all-in on AWS

DDRCC at Stanford University uses AWS for research in precision medicine leveraging multimodal data

To facilitate precision medicine research, DDRCC created a health management system for consumers which provides efficient data acquisition, storage, and near-real-time analysis capabilities for researchers using AWS.

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Cinesite Renders ‘The Addams Family 2’ with AWS

DNAnexus & AWS power technology behind UK Biobank research analysis platform

DNAnexus leverages AWS to build and operate a scalable platform enabling approved users to securely view and analyze "soft copies" of UK Biobank's petabyte of biomedical database and research resources.

Read the case study »


Build end-to-end analysis workloads with AWS HealthOmics. And integrate additional data modalities with the Guidance for Multi-omics and Multi-modal Data Integration and Analysis on AWS


AWS for Health technology and consulting partners offer out-of-the-box deployments and specialized IT consulting to help you quickly get up and running. 


Leverage AWS services and guidances to build bespoke solutions. 

Store, query, and analyze genomic, transcriptomic, and other omics data, and then use this data to generate insights to improve health and advance scientific discoveries.
AWS HealthImaging Imaging enables healthcare providers and their software partners to easily store, access, and analyze medical images in the cloud at petabyte scale.

The lung cancer survival prediction solution powered by SageMaker JumpStart builds a multimodal ML model for predicting survival outcome of patients diagnosed with NSCLC. The multimodal model is trained on data derived from different modalities or domains, including medical imaging, genomic, and clinical data. 

Accelerate research and innovation, risk analysis and solution development with third-party data sets on AWS Data Exchange. The Synthea synthetic patient generator models the medical history of synthetic patients covering every aspect of healthcare for a variety of secondary uses in academia, research, industry, and government.

To help healthcare and life sciences organizations build their own solutions, this AWS guidance provides a comprehensive framework detailing how to combine AWS services to build end-to-end workflows.

Featured AWS for Health partner Bioteam, a scientific IT consulting company with expertise in applying strategies, advanced technologies, and IT services, can help implement and customize this guidance to ingest and process customized datasets. 

Learn more »


AWS for Health provides a curated portfolio of AWS Partner solutions designed to simplify the handling and analysis of multi-modal, multi-omics data. 

DNAnexus offers a secure, scalable, and purpose-built cloud platform built on AWS that leverages multi-modal and multi-omic data to drive precision medicine insights.

Learn more »

Illumina Connected Analytics (ICA), a production bioinformatics platform deployed on AWS, delivers a comprehensive suite of data analysis and management tools. Integrating Illumina Correlation Engine with ICA streamlines searching public data sets for similar signatures in other biological samples enabling phenotypic exploration for multi-omic insights.

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Philips HealthSuite Platform, built on AWS, makes it simpler for oncology teams to deliver personalized therapy to patients by integrating genomic data with other modalities like imaging, digital pathology, and clinical data.

Learn more »

The Lifebit Platform, powered by AWS, is an end-to-end solution enabling organizations to harness the power of large-scale, clinical-genomic data to drive research and clinical insights.

Learn more »



Unlock greater insights with multi-modal & multi-omics data integration & analysis 

Did you know leveraging multi-modal data domains―genomics, clinical, and imaging―can yield 34% accuracy improvements in predictive capabilities over a singular data domain such as genomics? 

The new multi-modal & multi-omics E-book identifies several real-world customer case studies leveraging MMMO data meshes, detailing approaches to simplify building or deploying out-of-the box solutions to turn data into an asset and drive more data-driven decision making. 

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Simplifying Multi-modal & Multi-omics Analysis with AWS for Health

Read how to prepare genomic, clinical, mutation, expression, and imaging data for large-scale analysis, and perform interactive queries using The Cancer Genome Atlas (TGCA) and The Cancer Imaging Archive (TCIA) as an example dataset. The ETL code provided in this guidance can be customized to ingest and transform additional datasets.

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Fauna bio leverages AWS to harmonize multi-omic datasets and uncover genes relevant to human health

Watch Fauna Bio discussing how it created a platform hosted by AWS that allows users to choose among comparative genomics, transcriptomics, and epigenomics data; select affected tissues of interest; designate the type of therapy to potentially develop; and then see a visual map of resulting gene networks.

Watch now »
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Integrate and derive insights from multi-modal health data

Learn how purpose-built health AI services like AWS HealthOmics, AWS HealthLake and Amazon Comprehend Medical help healthcare and life science organizations store, query, and analyze health data to generate insights that accelerate decision-making and deliver better care.

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AWS Online Tech Talks: Building data mesh architectures on AWS

Learn how to design, build, and operationalize a data mesh architecture on AWS, one that helps businesses navigate their data challenges, optimize analytics processes, and deliver insights to the business faster.

Watch now »

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