Maxis Health Leads Groundbreaking Feasibility Study on Predicting Emotional Dysregulation with AI-driven Biomarkers Using Wearable Technology.
Edison, NJ, March 25, 2025 – Maxis Health, an innovator in AI-driven digital health solutions for pediatric mental health, is proud to announce the publication of its latest research: Ecological Momentary Assessment of Emotional Dysregulation and Outbursts Among Youth with ADHD: A Feasibility Study of a Biomarker Driven Predictive Algorithm in the Special Education Pre-K and Early Childhood Classroom Settings. This pioneering study explores the use of wearable technology and machine learning to identify and predict emotional dysregulation episodes in young children, paving the way for early interventions in educational settings.
In the collaboration with The League School(NY) with contributions from researchers at University of Washington, the Icahn School of Medicine at Mount Sinai, and NYU Grossman School of Medicine , this pioneering research involved 10 children (ages 4-7). The team collectected continuous physiological data using wearable biometrics sensors, aiming to identify early warning signs of emotional escalation before behavioral outbursts occured.
Key Objectives and Outcomes:
- Evaluate the feasibility of using wearable sensors in special education environments.
- Develop a real time predictive algorithm leveraging physiological biomarkers.
- Assess potential for early intervention strategies based on predictive alerts.
“Children experiencing emotional dysregulation, both at home and in the classroom, often struggles with relationships and daily challenges, early indicators of future mental health concerns. This study is the first step towards transforming how we support these children, shifting from reactive to proactive care through digital health innovation, with the focus on early detection and intervention before mental health issues escalate. “
– Moulik Shah, Co-Founder, Maxis Health
The results demonstrated the practicality of wearable sensor use in classrooms and the potential for real time monitoring systems to become valuable tools for educators and clinicians in managing emotional dysregulation.
Collaborators & Acknowledgments: The study was made possible through the collaborative efforts of: Mark Stein, Moulik Shah, Beth Krone, Mark Owens, Ripudaman (Zeeba) Singh, Janav Panchal, Sami Ali and Isaac J. Wert
Special recognition is given to the educators, caregivers, and children who participated in this important work.
Next Steps: Building on these findings, Maxis Health plans to refine the predictive algorithm and conduct larger scale studies. The ultimate goal is to integrate this technology into real world therapeutic and empowering teachers and parents with early warning systems to better support children with Emotional Dysregulation.
About Maxis Health: Maxis Health is a digital health company focused on precision mental health care for children with emotional dysregulation. We provide personalized care through early detection and intervention, while empowering families with knowledge, support, and access to broader healthcare in an equitable way.
To access the full study, visit: Frontiers in Child and Adolescent Psychiatry (https://www.frontiersin.org/journals/child-and-adolescent-psychiatry/articles/10.3389/frcha.2025.1549220/full)
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