[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"pancancer\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:pancancer":38},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":10,"sex":15,"minAge":16,"maxAge":17,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":4,"overallStatus":25,"whyStopped":4,"lastUpdateSubmitDate":26,"lastUpdatePostDateStruct":27,"startDateStruct":30,"completionDateStruct":32,"leadSponsor":34,"locationsCount":37},"100605061",false,"NCT07157618","Prospective Pathology Foundation Models","Development and Clinical Application of Deep Learning-Based Prospective Pathology Foundation Models","Inclusion Criteria:\n\n1. Aged 18-75 years old.\n2. Patients with complete pathological slides and clinical information.\n\nExclusion Criteria:\n\n1.Patients with missing data or specimens not meeting quality control requirements for analysis.","ALL","18 Years","75 Years",{"count":19,"type":20},2000,"ESTIMATED","OBSERVATIONAL","Histopathology remains the gold standard for disease diagnosis, yet faces challenges including pathologist shortages and diagnostic model limitations. This underscores the critical need to develop deep learning-based pathology foundation models integrating prospective imaging and clinical data. Such models would enhance diagnostic accuracy and efficiency, enabling tumor grading, histo-molecular classification, and intelligent chemotherapy guidance - ultimately optimizing clinical workflows. However, a critical gap remains: the absence of prospectively validated, pan-disease pathology foundation models. Developing clinically validated models is therefore imperative.",[24],"Pancancer","RECRUITING","2026-04-19",{"date":28,"type":29},"2026-04-23","ACTUAL",{"date":31,"type":29},"2025-08-28",{"date":33,"type":20},"2028-08",{"name":35,"class":36},"Nanfang Hospital, Southern Medical University","OTHER",2,""]