Advanced hereditary
risk screening at scale
Inherited Cancer
Cardiac Risk
Newborn Screening
ACMG Incidental Findings
Fabric's AI reduces turnaround
time for analysis of NGS hereditary
panels to minutes
Fabric’s Artificial Intelligence Classification Engine (ACE)
synthesizes knowledge from disparate datasets to rapidly automate
clinical reporting for all common hereditary risk panels
Comprehensive coverage of most common genetic panels
- BRCA1 & BRCA
- HBOC
- Lynch syndrome
- Inherited cancer syndromes
- Familial hypercholesterolemia
- Long QT
- Marfan, aneurysm, & aortopathies
- Cardiomyopathy
- Arrhythmia
- Non-syndromic epilepsies
- Neuropathies
- Newborn screening
- Carrier screening
- CDC Tier 1
- ACMG secondary findings
Fabric Hereditary Panels powered by ACE
Best-in-class bioinformatics pipeline
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- Automated ACMG Classification for fast reporting
- Sequencing to report in minutes
- Unique variant prioritization algorithm reduces computation time
- Reduced VUS backlog
Exceeds validation standards
- Validated across > 100,000 variants
- 100% match with ClinVar classifications
- No misclassifications in validation dataset
- Synthesizes knowledge from diverse databases
Unmatched sample throughput
- Eliminates costly interpretation bottleneck
- Reduces manual review demand
- Minimizes repetitive work of scarce expertise
- Grows your Classified Variant Database
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To learn more about how ACE reduces labor and delivers novel insights faster
Ready for fast
hereditary risk reporting?