Smart sensors aim to outsmart sepsis in ICU patients
NCT ID NCT07595848
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will test whether combining data from wearable sensors—measuring temperature, humidity, and sweat lactate—can predict the onset of sepsis in ICU patients. Researchers will monitor 360 adults at risk of sepsis for up to 48 hours. The goal is to use this data to train artificial intelligence models that could one day give early warnings.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- CPC12S Telemonitoring System, CPC Temperature/Humidity Sensor, IDRO Sweat Lactate Sensor
- What this could lead to
- If successful, this could lead to a wearable system that alerts doctors to sepsis hours earlier, potentially saving lives in intensive care.
- What could go wrong
- This is an early-stage study focused on data collection and model development, not a proven tool. The sensors may not reliably predict sepsis in real-world settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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Other studies related to the condition(s) this trial covers.
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