Causality via Genetic, Environmental, and Imaging Data
Our dynamic, closed-loop feedback system will continuously monitor brain activity, adapt interventions, and optimize outcomes based on the evolving needs of the patient. Through machine learning and biofeedback, we ensure interventions are optimized to deliver the highest therapeutic efficacy with the least risk.
ML Driven Autism Risk Screening
A web-based screening tool that uses eye-tracking and cameras to detect atypical gaze patterns and behavior linked to autism — before symptoms become behaviorally apparent.
Brain Imaging & Tracking
Validate genetic insights with real-time brain function and structure data. Map neural activity at high resolution to confirm biomarkers and therapeutic targets.
Genetic Risk Analysis & Reporting
A lab reporting service that analyzes DNA samples for methylation patterns and autism genes to assess biological aging and neurodevelopmental risk factors.
Custom Treatment and Measurement
Deliver and continuously refine interventions based on each individual's genetics, environment, and brain response. Close the feedback loop with ongoing measurement.
Advancing Human Understanding with Data
We start with non-invasive optical screening to detect early neural anomalies, then deepen insights using epigenetic and transcriptomic markers (like TruAge and RNA-seq). From there, we validate findings with advanced brain imaging (Kernel/MEG) to map functional disruptions. Finally, we deliver personalized interventions—like supplements or lifestyle adjustments—and measure outcomes based on changes in gene expression and brain activity.
Our Impact
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Years of Research Experience
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