ADAMMA - Core for AI & Digital Biomarker Research

Software Tools

Our open-source initiatives are built on CLAID, a robust and versatile platform that serves as the foundation for our research and deployment efforts. We are also focused on developing specialized analysis packages tailored for various types of sensor data.

CLAID - Closing the Loop on AI and Data Collection
CLAID - Closing the Loop on AI and Data Collection

CLAID is an open-source initiative to develop, validate and share AI models, digital biomarkers and healthcare applications. Our goal is to transfer research findings from the lab into the real-world. We invite researchers, clinicians and developers to use and contribute packages and to participate in our community.

TripletCough - Cougher Identification and Verification from Contact-Free Smartphone-Based Audio Recordings Using Metric Learning
TripletCough - Cougher Identification and Verification from Contact-Free Smartphone-Based Audio Recordings Using Metric Learning

In this project, we developed an open-source machine learning model specifically designed to accurately attribute cough events to individual users.

CHARM - Circadian Rhythm Metrics based on Activity, body temperature and Heart rate
CHARM - Circadian Rhythm Metrics based on Activity, body temperature and Heart rate

In this project, we validated the efficacy of commercial devices for monitoring circadian rhythm and developed a multi-modal model to predict circadian rhythm using acceleration, body temperature, and heart rate data.