SS
Develops a system that combines proprietary deep learning algorithms with off-the-shelf wearable devices to predict sepsis in cancer patients at home. By analyzing physiological data, the technology detects sepsis an average of 39 hours earlier than current methods, enabling timely intervention and reducing mortality rates. This early detection addresses the critical challenge of identifying sepsis, which often begins outside of clinical settings and is frequently diagnosed too late.
Updated 4 months ago
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MDTCFunding rounds are not available yet.
Founders
Founder details are not available yet.
Product
Features
- Develops a system that combines proprietary deep learning algorithms with off-the-shelf wearable devices to predict sepsis in cancer patients at home. By analyzing physiological data, the technology detects sepsis an average of 39 hours earlier than current methods, enabling timely intervention and reducing mortality rates. This early detection addresses the critical challenge of identifying sepsis, which often begins outside of clinical settings and is frequently diagnosed too late.