EYAS Focus offers a safe, smartphone-based Digital Therapeutics solution that predicts attention decline, delivers adaptive training, and empowers children with ADHD to improve focus independently at home.
Children with ADHD often depend on medication, yet families worry about side effects, tolerance, and inconsistent long-term results. Meanwhile, access to behavioral therapy is limited—waiting lists are long, costs are high, and many children go without timely support. EYAS Focus uses only a phone camera to perform advanced eye-tracking and microsaccade analysis, predicting attention drops three minutes ahead. It adapts training automatically, visualizes progress through a 0–100 Attention Index, and motivates kids with gamified feedback to deliver accessible, personalized therapy experiences that build confidence while easing the burden on parents and caregivers.
Predictive Digital Therapeutics
EYAS Focus is a Phone-Based Pharmacological Alternative for ADHD
Trend Themes
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Smartphone-enabled Therapy — Leveraging smartphone technology, digital therapeutics offer a scalable and cost-effective solution for transforming mental health treatment for children.
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Predictive Health Analytics — The use of predictive analytics to foresee attention drops enables proactive interventions in ADHD management, enhancing patient outcomes.
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Gamified Health Solutions — Gamification in therapeutic programs for ADHD provides interactive experiences that increase user engagement and adherence to treatment plans.
Industry Implications
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Digital Health — Digital health solutions are innovating traditional medical therapies by providing technology-driven alternatives that are more accessible for patients.
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Pediatric Behavioral Health — Advancements in pediatric behavioral health are supporting revolutionary approaches to treating ADHD without relying on traditional pharmacological methods.
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Mobile Health Technology — Mobile health technology is facilitating the development of new therapeutic applications that can remotely assess and manage health conditions in real-time.