Transforming Mental Health Care with AI

Leveraging Two Decades of Data

The Sharpen DTX AI recommendation engine leverages 20 years of data collection in mental health interventions led by Robyn Hussa Farrell in school and community settings. This data has been refined through digital system deployments beginning in 2017. Hussa Farrell first reached out to UC Berkeley in 2021, intrigued by their commitment to ethical usage of data.

The UC Berkeley Data Discovery team has been crucial in helping us transform this extensive knowledge into a sophisticated machine learning platform that responsibly delivers and enhances the Sharpen DTX personalized mental health interventions, says Hussa Farrell.

Tim Farrell, COO of Resiliency Technologies and director of the AI project, shares that

The algorithm processes over 25,000 user interactions across 4,000+ videos and 700+ modules, creating a rich dataset of clinically validated recommendation patterns. This comprehensive foundation serves as the training ground for our AI model that pattern maps how users interact with assigned modules and identifies optimal pathways to related modules and activities that Robyn has designed to sustain engagement and improve mental wellness.

A Dynamic Collaboration

This project continues a dynamic collaboration. The three founders of Resiliency Technologies have been delivering innovative solutions to big challenges since they first met in 2016. At that time, the challenge was how to create a massive video gallery in an abandoned housing project using Raspberry Pi computers and video projection screens. Since then, we have tackled obstacles like mental health prevention and interoperability. Now, AI integration is our next frontier.

Working alongside UC Berkeley's data scientists, we've developed a hybrid machine learning approach that incorporates four key components:

1. Sequential Learning Pathways: Modules are linked in therapeutic progressions based on evidence-based practices from Cognitive Behavioral Therapy (CBT) and Mindfulness-Based Stress Reduction (MBSR).

2. Interventions: These complement screenings and primary modules completed to ensure comprehensive care delivery.

3. Contextual Activity Deployment: Over 700 MBSR and CBT activities are strategically assigned based on module completion patterns identified.

4. Geolocation-Specific Resources: Providing zip code-appropriate crisis numbers and local mental health services.

   
   

Real-Time Personalization at Scale

The UC Berkeley partnership has enabled us to fulfill our mission of ethically using data to create an engine that dynamically balances user self-selection preferences with clinically appropriate assigned content. The system processes multiple data inputs, including videos watched, graphics and PDF activities downloaded, quiz and assessment responses, and patient demographics to deliver personalized recommendations in real-time.

The Sharpen DTX AI recommendation engine represents a substantial step toward precision medicine in mental health care. It delivers clinically appropriate, age-specific interventions tailored to individual user needs and engagement patterns.

We are grateful to our partners at UC Berkeley CS / Data Discovery team for providing expertise in machine learning and data analytics. Their support has been essential in analyzing these engagement patterns and continuously refining our recommendation algorithms to improve patient outcomes.

The Future of Mental Health Interventions

As we continue working with UC Berkeley, we're advancing toward a future where AI can enhance the precision of mental health interventions. This will enable us to reach more adolescents in need, reduce treatment delays, and provide clinicians with powerful tools to deliver evidence-based care efficiently.

In conclusion, our collaboration with UC Berkeley is not just about technology. It is about creating a better future for mental health care. We believe that by harnessing the power of AI, we can make a significant impact on the lives of those struggling with mental health issues.

We are excited about the journey ahead and the potential to transform mental health care through innovative digital therapeutics. Together, we are paving the way for a brighter future in mental health.