AI-analysis on diagnostic and surgical specimens
OtherThe 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.
NCT Number: NCT06396754
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.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: 6 months
Success rate of digitization of H&E slides & Turnaround time for biomarker report within standard patient pathways
Contact information is provided by the study sponsor or research team.
Institute of Cancer Research, United Kingdom
Other
Acronym: AIDOBE
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