# Feasibility of early detection of infection and sepsis in the home

> **NIH NIH R43** · NIGHTINGALE LABS CORPORATION · 2023 · $298,102

## Abstract

PROJECT ABSTRACT
Sepsis, the systemic manifestation of infection, causes complex and costly hospitalizations with unacceptably
high morbidity and mortality. Most research focuses on detection of the sepsis within the hospital; however, most
sepsis is community-acquired and thus begins in the home. Nightingale Labs has developed a fully automated
non-contact home bed sensing platform that detects signatures of hospitalizations without requiring any patient
participation. Here, we will test whether the technology can be used to detect infections or sepsis. This SBIR
proposal will evaluate the feasibility (Phase 1) and execute (Phase 2) a prospective observational study to learn
the signatures of impending hospitalizations for localized or systemic infection. The work will substantially expand
the toolkit for facilitating early recognition and intervention to reduce infection- and sepsis-associated morbidity
and mortality.

## Key facts

- **NIH application ID:** 10706940
- **Project number:** 1R43AI177239-01
- **Recipient organization:** NIGHTINGALE LABS CORPORATION
- **Principal Investigator:** Raymond C Chan
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $298,102
- **Award type:** 1
- **Project period:** 2023-07-10 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10706940

## Citation

> US National Institutes of Health, RePORTER application 10706940, Feasibility of early detection of infection and sepsis in the home (1R43AI177239-01). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10706940. Licensed CC0.

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