Let it Care develops and implements digital biomarkers and remote monitoring solutions for chronic diseases, utilizing at-home sensors and data science to enhance patient care and clinical trial efficiency. The company addresses the need for proactive treatment adjustments by providing real-time insights into patient health through continuous data collection and analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Managing chronic diseases often requires frequent clinical visits and relies on intermittent data collection, hindering timely treatment adjustments and proactive care. Traditional monitoring methods struggle to capture the nuances of daily living and patient experience, limiting the ability to predict disease-related events and personalize treatment strategies.
Solution
Let it Care offers a remote patient monitoring solution that leverages at-home sensors and data science to provide continuous, real-time insights into patient health. Their platform collects passive data streams from smartphones and connected sensors, transforming them into individual digital phenotypes. By applying AI and machine learning, Let it Care identifies digital biomarkers that can predict treatment response, detect relapses early, and enable proactive clinical actions. The clinical team is empowered with a dashboard that provides monitoring tools, alerts, digital phenotyping, and therapeutic strategy assistance, facilitating timely and informed decision-making.
Target Audience
The primary target audience includes pharmaceutical companies conducting decentralized clinical trials, healthcare providers seeking proactive care solutions, and clinical researchers focused on digital phenotyping for chronic diseases.
Features
- User-friendly mobile application for passive and continuous data collection from smartphones and connected sensors
- Secure cloud server for data transfer and storage
- End-to-end data analysis pipeline including signal processing, feature extraction, and digital biomarker identification
- Predictive models for early assessment of treatment response and toxicity, and early detection of relapses
- Patient clustering for digital phenotyping and personalized treatment decisions
- Clinical dashboard with monitoring tools, alerts, and therapeutic strategy assistance
- Integration with at-home sensors for robust data acquisition