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OpenTrials
Enrolling by Invitation

NCT Number: NCT07239297

Retrospective Pathology Foundation Models

By integrating retrospective multimodal data such as pathology and imaging, AI technologies offer novel solutions for disease classification, tumor grading, histological and molecular subtyping, selection of chemotherapy regimens, risk stratification, and treatment-response prediction. This research direction not only deepens our understanding of tumor biological characteristics but also provides essential support for precision medicine and individualized therapy. It holds significant theoretical and practical value and has important implications for mitigating strained medical resources and improving the accuracy of therapeutic decision-making, representing a cutting-edge application with substantial translational potential.

Enrolling by Invitation

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Key information

Conditions

Pancancer

Age range

18 year–75 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China

Loading trial locations.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Aged 18-75 years old.
  • Patients with complete pathological slides and clinical information.

Exclusion criteria

1.Patients with missing data or specimens not meeting quality control requirements for analysis.

Treatment and study plan

Primary outcomes

  1. Area under ROC curve (AUC)

    Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained

    Area under the curve

Secondary outcomes

  1. Specificity

    Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained

    The true negative rate (TNR) of the diagnostic platform, which is the ratio between the number of negative individuals correctly categorized by platform and the total number of actual negative individuals (%).

  2. Sensitivity

    Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained

    The true positive rate (TPR) of the diagnostic platform, which is the ratio between the number of positive individuals correctly categorized by platform and the total number of actual positive individuals (%).

Sponsors and collaborators

Lead sponsor

Nanfang Hospital, Southern Medical University

Other

Registry information

Official study title

Development and Clinical Application of Deep Learning-Based Retrospective Pathology Foundation Models

Important dates

Study start
2025
Primary completion
2027
Study completion
2028
First posted
Nov 20, 2025
Registry last updated
Nov 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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