NYU Langone Health
Genomic data analysis
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
- Variant calling cut from 7 hours to 40 mins
- Alignment time cut from 27 mins to 5 mins
Clinicians spent 50 hours per case sifting data. AI now ranks disease risks, cutting diagnosis time from 7 years to 1 month.
A regional Italian medical center specializing in rare genetic disorders manages complex diagnostic workflows involving massive datasets from patient DNA testing.
Clinicians manually reviewed over 100 genetic variants per patient, a process requiring up to 50 hours of analysis for a single case. This manual...
“The challenge with genetic testing is finding the specific information we need in the tests. Finding the variants that identify a disease is time consuming with all that data.”
AI-driven genomic variant interpretation platform for rare disease diagnosis.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Immunologists hand-labeled individual cells, stalling discovery. GenAI now automates annotation, cutting research timelines by 50%.
Coders sifted through thousands of pages per patient. AI now highlights specific diagnoses, so staff just validate the findings.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.