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Machine Learning Assisted Electrochemical Profiling to Provide Early Identification of Bloodstream Infections Pathogens

Towards a Smart Blood Culture Bottle: Machine Learning Assisted Electrochemical Profiling to Provide Early In-situ Identification of Bloodstream Infections Pathogens

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06853301
Acronym
E-MOC
Enrollment
200
Registered
2025-02-28
Start date
2026-07-13
Completion date
2028-01-01
Last updated
2026-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bacteremia Sepsis

Keywords

Rapid identification, Positive blood culture, Electrochemical profiling, Machine learning, Artificial intelligence, Bacteremia, Database

Brief summary

In the context of a bacteremia, although significant progress has been made in speeding up pathogen identification once a blood culture bottle turns positive, few cost-effective solutions have been proposed to improve the earlier stages of the process-specifically, from blood collection to bottle positivity. The investigators propose that transport time could be leveraged to grow and identify bacteria, enabling faster access to actionable results through innovative technologies. This project aims to develop a bacterial identification database by analyzing the electrochemical profile of bacteria growing within the blood culture bottle, using machine learning.

Interventions

OTHERBlood culture sampling

Patients with blood culture sampling as standard of care. Two to four additional blood culture bottles sampled that will be spiked with known bacterial species to determine their electrochemical profiles

Sponsors

University Hospital, Grenoble
Lead SponsorOTHER
CEA - Leti
CollaboratorUNKNOWN

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* patient requiring a blood culture sample as standard of care procedure * body weight \> 50 Kg * Patient for whom the collection of 2 to 4 additional blood culture bottles is feasible, depending on venous access * patient who has not objected to participation in the project

Exclusion criteria

* Patient protected under the French Public Health Code (pregnant or breastfeeding women, patients under guardianship or curatorship, hospitalized under constraint, or deprived of liberty) * patients with ongoing antibiotic treatment at the time of sampling

Design outcomes

Primary

MeasureTime frameDescription
List of samples with an electrochemical profileFrom enrollment until the end of measurment of an electrochemical fingerprint in the blood cultures from the patient spiked with bacterial strains, assessed within up to one week after blood culture samplingList of samples (bacterial strain and corresponding pseudonymized blood culture) for which an electrochemical profile of the growing bacteria within the blood culture bottle was successfully obtained

Secondary

MeasureTime frameDescription
Identification performanceEnd of the study (18 months)Identification performance of electrochemical profiling of the growing bacteria followed by machine learning analysis

Countries

France

Contacts

CONTACTYvan CASPAR, PharmD, PhD
YCaspar@chu-grenoble.fr+33 476765479

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 23, 2026