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.

Stanford Medicine Research

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

Publication
Case Study

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.

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.

Chart illustrating AI model output

Neuro-Regulation Model

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

Chart illustrating AI model output

AI-Flagging Model

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

Chart illustrating AI model output

Risk Detection Model

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