Data Lake / Data Warehouse Modernization
Combining multiple data modalities is foundational to achieving this goal and discovering crucial links for treating them,” says Dr. “The challenge lies in making multiomic data jointly accessible with other datasets, and then using technologies like artificial intelligence and machine learning for better diagnosis and treatment.” In 2017, CHOP launched Arcus , a suite of tools and services for CHOP’s research community that links biological, clinical, research, and environmental data.
Reported impact
Making Omics Data a Permanent Tool in Pediatric Care Using AWS HealthOmics, CHOP can now index information more efficiently and make the merging of omics and clinical data a regular part of pediatric care at the hospital.
Through the launch of its omics initiative, Children’s Hospital of Philadelphia (CHOP) envisions medicine taking the form of personalized treatments that are based on patients’ genotypes, or unique genomes. Researchers and doctors at CHOP are bringing this vision to life by merging de-identified clinical data with omics data—sequences of DNA, RNA, and proteins—and analyzing it using machine learning, within a privacy framework that keeps genomic and clinical data safe and aligned with industry standards. The size, rapid accumulation, complexity, and heterogeneity of omics data pose difficulties in its management and analysis. To facilitate scientific discovery, the CHOP team has built a secure framework on Amazon Web Services (AWS) using AWS HealthOmics , a fully managed service that healthcare and life sciences organizations use to store, query, and analyze genomic, transcriptomic, and other omics data.
Using AWS HealthOmics to Cut Months from CHOP’s Gene Search CHOP uses AWS HealthOmics to analyze and generate insights from multiomic data—giving researchers more time for unlocking scientific discoveries to improve pediatric treatment and cure diseases—using joint variant calling on omics in addition to variant calling.
Combining multiple data modalities is foundational to achieving this goal and discovering crucial links for treating them,” says Dr.
Ingo Helbig, attending neurologist and scientific director of Project Omics at CHOP.
Using AWS HealthOmics to Unify, Share, and Analyze CHOP’s Data at Scale CHOP was the first US hospital dedicated to pediatric healthcare, and the CHOP Research Institute has advanced breakthrough pediatric treatments for rare diseases.
“Getting a comprehensive view of our patients is crucial to delivering the best possible care, based on the most innovative research.
“The challenge lies in making multiomic data jointly accessible with other datasets, and then using technologies like artificial intelligence and machine learning for better diagnosis and treatment.” In 2017, CHOP launched Arcus , a suite of tools and services for CHOP’s research community that links biological, clinical, research, and environmental data.
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