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Deployment and Clinical Evaluation of an AI-powered Digital Oncology Biomarker Tool to guidE Treatment in TNBC

Deployment and Clinical Evaluation of an AI-powered Digital Oncology Biomarker Tool to guidE Treatment in TNBC

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06396754
Acronym
AIDOBE
Enrollment
50
Registered
2024-05-02
Start date
2026-08-01
Completion date
2027-07-31
Last updated
2026-03-27

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

Conditions

Triple Negative Breast Cancer

Brief summary

TILs have been shown to be predictive for response to neo-adjuvant chemotherapy in patients with TNBC in multiple studies (Level-1B evidence for clinical validity as per REMARK criteria). TNBC patients with excellent survival outcome and low incidence of metastasis can be identified using a manual TIL score. Furthermore, a fully end-to-end blinded evaluation of the same algorithm to be used in this study achieved \>90% accuracy for predicting disease free survival (DFS) and overall survival (OS) in the pooled analysis of seven adjuvant phase-III TNBC trials.

Interventions

OTHERAI-analysis on diagnostic and surgical specimens

The analysis will report a list of AI-based biomarkers to assess the tumour-immune spatial microenvironment as well as final spatial immune-ecology prognostic (SIPA) reports for every patient.

Sponsors

Institute of Cancer Research, United Kingdom
Lead SponsorOTHER
Case45 Ltd
CollaboratorUNKNOWN

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Age ≥18 years * Confirmed diagnosis of triple negative breast cancer (non-metastatic) * Planned for neo-adjuvant systemic therapy * Written consent to generic Tissue for Research donation

Exclusion criteria

* Patients declined consent for generic Tissue for Research donation

Design outcomes

Primary

MeasureTime frameDescription
To determine the reliability and performance of the process and AI tool6 monthsSuccess rate of digitization of H\&E slides \& Turnaround time for biomarker report within standard patient pathways

Contacts

CONTACTLone Gothard
lone.gothard@icr.ac.uk02086613460
CONTACTRei Kow
rei.kow@icr.ac.uk02034376805
PRINCIPAL_INVESTIGATORNavita Somaiah

Institute of Cancer Research, United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 28, 2026