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Multi-modal, Multi-omics Data Integration & Analysis on AWS

Extracting insights from omics and other data modalities.

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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. 

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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. 

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. 

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

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

Builders & Buyers

Build

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

Buy

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. 

AWS Guidance for Multi-omics and Multi-modal Data Integration and Analysis

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. 

Architecture diagram illustrating the data flow and integration of AWS services in a life sciences data lake, including sources such as The Cancer Genome Atlas and 1k Genomes VCF, processing with AWS Glue and Lake Formation, data cataloging, and analysis using Amazon Athena and Amazon QuickSight for research and data science applications.

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. 

An open book showing a diagram on generating a holistic view of a patient using multi-omics and multi-modal analysis, and informational text about AWS for Health, including benefits like data security, scalable collaboration, and rapid data analysis.

Resources

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

Diagram illustrating the modern data architecture for AWS for Health Guidance, showing data flows between data sources, data lakes, machine learning, analytics, databases, and people, apps, and devices, connected through central catalog and governance components. 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. Read the blog

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

Presentation slide showing examples of animals resistant to human disease pathologies, including an elephant, naked mole rat, and 13-lined ground squirrel, with magazine covers and captions highlighting their resistance to cancer, aging, and diseases. 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

Integrate and derive insights from multi-modal health data

A presentation slide showing a speaker, a message about patient health data, and images of patient monitoring devices, illustrating the collection of thousands of health data points during patient journeys. 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. Watch now

AWS Online Tech Talks: Building data mesh architectures on AWS

Presentation thumbnail titled 'Building Data Mesh Architectures on AWS' by AWS, featuring Neeraj Shandilya, Principal Product Manager, AWS Lake Formation. 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

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

An open book showing a diagram on generating a holistic view of a patient using multi-omics and multi-modal analysis, and informational text about AWS for Health, including benefits like data security, scalable collaboration, and rapid data 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. Download the ebook

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