Smart blood culture bottle aims to identify sepsis-causing bacteria in hours, not days
NCT ID NCT06853301
First seen Jul 22, 2026 · Last updated Jul 23, 2026 · Updated 1 time
Summary
This study tests whether adding electrochemical sensors to standard blood culture bottles can identify bacteria early, while the sample is still growing. Researchers will collect extra blood samples from 200 patients with suspected bloodstream infections and spike them with known bacteria to build a database of electrochemical profiles. Machine learning will then analyze these profiles to see if they can distinguish different bacterial species. The goal is to shorten the time from blood draw to pathogen identification, potentially speeding up treatment decisions for sepsis.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this approach could speed up identification of bloodstream infections, potentially allowing earlier, more targeted treatment for sepsis.
- What could go wrong
- This is an early-stage study building a database, not yet testing clinical use. The technology may not reliably identify all bacteria or work in real-world conditions.
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.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Grenoble University Hospital
RECRUITINGGrenoble, France
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Hôpital AVICENNE (AP-HP)
NOT_YET_RECRUITINGParis, France
Contact Phone: •••-•••-•••• Email: •••••@•••••
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