deltatrials
Unknown OBSERVATIONAL NCT06411405

Using Machine Learning to Model Early-onset Neonatal Sepsis Risk in Uganda and Zimbabwe (NeoRisk)

Using Machine Learning to Model Early-onset Neonatal Sepsis Risk in Late Preterm and Term Neonates in Uganda and Zimbabwe

Sponsor: Biomedical Research and Training Institute, Zimbabwe

Updated 4 times since 2024 Last updated: May 15, 2024 Started: Apr 11, 2024 Primary completion: Dec 31, 2024 Completion: Mar 1, 2025
This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

This observational or N/A phase trial investigates Neonatal Sepsis and is currently ongoing. Biomedical Research and Training Institute, Zimbabwe leads this study, which shows 4 recorded versions since 2024 — indicating limited longitudinal coverage. The change history captured here reflects the iterative nature of clinical trial conduct.

Status Flow

~Jun 2024 – ~Jul 2024 · 30 days · monthly snapshot~Jul 2024 – ~Sep 2024 · 2 months · monthly snapshotRecruiting~Sep 2024 – ~Mar 2026 · 18 months · monthly snapshotRecruiting~Mar 2026 – present · 4 months · monthly snapshotUnknown

Change History

4 versions recorded
  1. Mar 2026 — Present [monthly]

    Unknown

    Status: RecruitingUnknown

  2. Sep 2024 — Mar 2026 [monthly]

    Recruiting

  3. Jul 2024 — Sep 2024 [monthly]

    Recruiting

  4. Jun 2024 — Jul 2024 [monthly]

    Recruiting

    First recorded

Apr 2024

Trial started

Per CT.gov start date — pre-dates our first snapshot

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:
  • Biomedical Research and Training Institute, Zimbabwe
  • MU-JHU CARE
  • St George's, University of London
Data source: St George's, University of London

For direct contact, visit the study record on ClinicalTrials.gov .