← Eichor
Study identifier: NCT06042543 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Novel, One Stop, Affordable, Point of Care and AI Supported System of Screening, Triage and Treatment Selection for Cervical Cancer in LMICs

Condition: Cervical Cancer · Screening  ·  Sponsor: International Agency for Research on Cancer

PhaseNA
Planned participants3200
Who can joinFemale, 25 Years to 49 Years
Healthy volunteersNo

About this study

Artificial intelligence (AI) is fast gaining reputation as a highly promising solution for cervical cancer screening. AI-based detection of cervical neoplasias is named automated visual exam (AVE) by the National Cancer Institute, USA. The investigators propose to develop and evaluate the performance characteristics of a novel AI system to both screen and triage women as well as help in treatment decision making. AI will analyse infrared spectroscopic signals derived from urine samples of unscreened women for the presence of high-risk human papillomavirus (hr-HPV). Our preliminary study has shown that spectroscopy can detect hr-HPV in urine. For screen-positive women the AI will interpret a set of cervical images captured with a high-quality devoted camera to detect high grade cervical precancers and cancers and to determine the type of transformation zone (TZ) (helps in treatment decision). The prototype device for image capture and the AI algorithms are already developed by us. The technologies will be further improved in part 1 (initial 2 years) and validated in part 2 (subsequent 3 years). During Part 1, the investigators will analyse urine samples collected from 1100 women at multiple screening clinics in Zimbabwe for the presence of hr-HPV using spectroscopy and use the signals generated to improve the AI algorithm. In this part the investigators will also assess the concordance between hr-HPV detection in urine samples using spectroscopy and cervical human papillomavir…

This description comes directly from the study's public registry record.

Talk to the study team

Partha Basu, MD  ·  +33764485370  ·  basup@iarc.who.int

Always discuss trial participation with your own doctor first.

Locations (2)

University of CincinnatiCincinnati, Ohio, United StatesRecruiting
University of ZimbabweHarare, ZimbabweRecruiting

Follow this study

Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.

We email about this public record only. Unsubscribe anytime with one click. Never medical advice.

Is this your study? This page was generated automatically from the public registry record. Sponsors can claim it — free — to add branding and verified contact routing. Claim this page →

This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.

Source record: clinicaltrials.gov/study/NCT06042543