Hop offers a patient monitoring platform that leverages analytics to model and track various medical conditions. This enables healthcare providers to gain deeper insights into patient health trends and outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for monitoring patient health often rely on static measurements taken in clinical settings, which may not capture the dynamic changes in a patient's condition throughout the day. This can lead to a limited understanding of a patient's overall health and response to treatment.
Solution
HOP Tech offers a homeodynamic phenotyping platform that uses non-invasive sensors and a digital biomarker app to continuously monitor a patient's physiological responses to functional stress. The platform captures real-time data on various parameters, including heart rate, activity levels, acoustic signatures, skin temperature, blood oxygen saturation, and electrodermal activity. This data is then processed using advanced statistical correlations and AI pipelines to generate insights into a patient's health trends and responses to treatment. The platform is designed to enhance clinical trials and drug development by providing real-world, surrogate-grade endpoints in conditions like type 2 diabetes, heart failure, and oncology.
Target Audience
The primary target audience includes pharmaceutical companies conducting clinical trials, healthcare providers seeking remote patient monitoring solutions, and researchers in the fields of precision medicine and drug development.
Features
- Non-invasive sensors for continuous monitoring of heart rate, actigraphy, acoustic signature, skin surface temperature, blood O2 saturation, and electrodermal activity.
- Digital biomarker app for patient data labeling and communication with healthcare coordinators.
- HIPAA-compliant data processing with feature engineering and data cleaning.
- Advanced statistical correlations and AI pipelines for data modeling and learning.
- Multimodal Transformer-Reinforcement Learning (MTRL) for machine and deep learning.
- Customizable platform tailored for clinical trials and remote patient monitoring.
- Full access to sensor firmware, sample rate, and raw data.