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Science Applied Digital Technologies Center for Product Development

Science

Center for Product Development

Developing evidence-based digital products to support children’s mental health and learning challenges.

The Child Mind Institute’s Product Development team is building sustainable digital solutions to advance scientific discovery and innovation in children’s mental health.

Standard methods for assessment and treatment of mental health disorders are antiquated, lacking in reproducibility, and administered in an unnatural clinical setting — all of which can result in an inaccurate view of a child’s condition. Our team is focused on ways that new technologies can collect more accurate, quantifiable data and provide better access to quality care for children and families worldwide.

Our Process

Grounded in research and demonstrable impact, our product development process aims to change the way healthcare technology is built. Researchers, engineers, and clinicians work across disciplines to create digital tools with clinical validation, while our robust data science center facilitates the collection and aggregate analysis of participant data for more reliable and reproducible outcomes.

Products in Development

We are currently pursuing numerous tools as part of the Next Generation Digital Therapeutics partnership with the State of California. These priorities are based on years of research into the types of digital solutions that would have the greatest impact.

MindLogger

Mindlogger is a simple, no-code platform that empowers mental health researchers to collect and analyze behavioral and physiological data from large, distributed, and diverse populations anytime, anywhere.

Learn More
MindLogger

Mirror: AI-enhanced journaling

We are exploring a clinically informed journaling app that gives teens a safe and private space to get in tune with their emotions and express their thoughts and feelings. Our mission is to support adolescents experiencing depression with tools based in clinical practice, supporting emotional regulation for teenagers who may not otherwise have access to mental health support.

Mirror:

Kandoo: AR-enhanced behavior activation

We believe augmented reality offers a new modality for treating depression. Our work combines the proven methods of Behavior Activation with compelling gameplay elements to make treatment engaging for teenagers. Through reinforcement mechanics, augmented reality, and map-based gameplay, we are learning how patients can reduce their depression symptoms and do more of what matters most to them.

Kandoo:

Innovative AI approaches

We are applying state-of-the-art AI approaches across numerous domains. By extracting meaningful information for clinicians from the various data we collect — photos, videos, biometrics, surveys, voice, and more — objective evidence of their patients' day-to-day mental health status emerges. Leveraging large language models (LLMs) may reduce bottlenecks in clinical report writing, improve diagnostic consistency, and facilitate tailored support for participants with mental health conditions.

Innovative