Applications for EpiMethyl Analytics
The Epimethyl system weeds through the noise to find the most important information. Here are a few of the applications of this technology for early-stage diagnostics, gene discovery, and new treatment design.
Early Cancer Detection with Liquid Biopsy
Early cancer detection is vital to treatment success. We are developing highly accurate, noninvasive liquid biopsy tests for early cancer detection. Our work begins with prostate cancer, with a blood-based test bound for FDA clinical trials, and will expand to breast cancer. Using whole-genome DNA methylation (methylome) analysis and our proprietary Methyl-IT™ data platform, we achieve >95% accuracy in early-stage detection. Based in St. Louis, Missouri, we support clinicians, researchers, healthcare partners, and investors advancing next-generation cancer diagnostics and methylation-based blood tests.
Autism Spectrum Disorder
There is currently no available diagnostic for ASD before a child shows signs of the neurological disorder at around ages 3-5. We aim to provide this information to parents at birth, deriving information from the placenta and making it possible for early interventions. Because an infant's nervous system is not fully formed at birth, early interventions can significantly impact development.
Pediatric Leukemia
Leukemia is the most common type of cancer in children and young adults. Fortunately, proper early treatment can provide a 90% chance of recovery. We aim to develop an early diagnostic that would offer treatment options before symptoms begin.
Type II Diabetes
One in ten Americans have diabetes, with over 90% diagnosed as Type 2 diabetes. Early diagnosis accompanied by lifestyle changes can be very effective for controlling the effects of this disease. We aim to provide an early diagnostic test with 98% accuracy when applied even before symptoms of the disease occur.
How does EpiMethyl Analytics technology work?
EpiMethyl analytics technology begins with a human methylome sample like blood or placental tissue. It uses three patented processes to determine if there is something abnormal, which body organ or system is affected, and what gene networks are involved for a more specific diagnosis.
Numerical Quantification of Disease State
Estimates magnitude of epigenetic effect
Identifies genomic regions of greatest methylation impact
Methyl-IT Analysis
Identifies treatment-associated differential methylation positions
Identifies epigenetically-responsive genes and associated networks
Genomic Word Frameworks Analysis
Identifies targeted changes within a gene
Provides machine learning-based predictive power