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Technology

EpiMethyl Analytics uses an analytical platform to decode whole-genome DNA methylation data with proprietary methodologies that combine thermodynamics, signal detection, and machine learning for high-resolution detection of altered development, stress, and disease.

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.

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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.

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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.

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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.

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How does EpiMethyl Analytics technology work?

Methyl

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.

Step1

Numerical Quantification of Disease State

Estimates magnitude of epigenetic effect

Identifies genomic regions of greatest methylation impact

Step2

Methyl-IT Analysis

Identifies treatment-associated differential methylation positions

Identifies epigenetically-responsive genes and associated networks

Step3

Genomic Word Frameworks Analysis

Identifies targeted changes within a gene

Provides machine learning-based predictive power