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Blood-Based Autism Diagnostics1-10 Employees
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Blood-Based Autism Diagnostics
We are validating machine learning algorithms combined with complex biological data to predict autism with high accuracy. Our current data shows that we can predict autism (or autism spectrum disorders) with 92% specificity and 95% sensitivity. We envision a future where a clinician can order a blood test to determine risk for developing autism before a child presents to a clinic with behavioral symptoms and to allow for interventions to be implemented in order to delay the onset of autism, improve outcomes for those at risk, and possibly prevent the disorder in some at risk children.

We also see value in providing doctors validated biomakers to assess efficacy of treatments through objective and quantifiable physiological information to go along with subjective parent/patient/clinician reports/assessments in order to move the paradigm and model into a proactive and preventive model as opposed to a reactive model and to transform pediatric care to allow children to have a full life
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Marie Causey
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John Slattery
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Founder BioROSA Technologies • Worked at @University of Arkansas for Medical Sciences, @Arkansas Children's Hospital
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