Trials / Enrolling By Invitation
Enrolling By InvitationNCT07239297
Retrospective Pathology Foundation Models
Development and Clinical Application of Deep Learning-Based Retrospective Pathology Foundation Models
- Status
- Enrolling By Invitation
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,000 (estimated)
- Sponsor
- Nanfang Hospital, Southern Medical University · Academic / Other
- Sex
- All
- Age
- 18 Years – 75 Years
- Healthy volunteers
- Not accepted
Summary
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.
Conditions
Timeline
- Start date
- 2025-08-01
- Primary completion
- 2027-07-01
- Completion
- 2028-07-01
- First posted
- 2025-11-20
- Last updated
- 2025-11-20
Locations
2 sites across 1 country: China
Source: ClinicalTrials.gov record NCT07239297. Inclusion in this directory is not an endorsement.