Research

Pioneering Research in Mental Health Risk Prevention

MEandMine is built on a preventive neuroscience framework rooted in positive psychology and brain-state regulation. Mental health care today begins at crisis - 11 years after first symptom onset. Our mission isn't just about access, it's about redefining when the care begins.

A Neuro-Regulation Model Supporting All Students.

Stanford Research:

91% Accurate Early Risk Detection using MEandMine Deep Learning and In-Game Behavioral Signals.

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Our data scientists and researchers ground MEandMine’s innovation in behavioral data and neuroscience.

The team uses gamified and adaptive self-regulation activities to address the root causes of behavior incidents, chronic absenteeism and the widening gap between students in emotional distress and available counselors.

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Focus Area

We use Deep Learning to analyze large-scale behavioral and well-being data to train our Preventive AI for detection.

By enabling earlier insight and intervention, MEandMine helps student regulate emotions while detecting early mental health risk, reducing the critical gap of 11 years.

Neuro-Regulation Model

After 10–15 minutes of practice, students show measurable gains in self-regulation, nearly doubling learning readiness.

AI-Flagging Model

Detect early risk patterns of anxiety, depression, ADHD symptoms, and aggression.

Risk Detection Model

Anomaly (Abnormal) Cutoff: Reconstruction Error > mean + 3.2 std

“Safely aligning powerful AI systems is one of the most important unsolved problems for our mission. Techniques like learning from human feedback are helping us get closer, and we are actively researching new techniques to help us fill the gaps.”

Oliver Su, CTO at MEandMine