[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Yasmin medhat munir Mohamed\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":42},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":27,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":4},"100646147","model-informed-precision-dosing-on-cyclosporine-therapy-in-hematopoietic-stem-cell-transplant-recipients-100646147",false,"NCT07695571","Model-Informed Precision Dosing on Cyclosporine Therapy in Hematopoietic Stem Cell Transplant Recipients","Hybrid Population Pharmacokinetic,Machine Learning and Deep Learning Modelling to Predict Dosing for the Individualization of Cyclosporine Therapy in Transplant Recipients","Inclusion Criteria:\n\n* • CsA therapy indicated alone or in combination for GVHD prophylaxis.\n\n  * Aged 2-65 years.\n  * Clinically stable after first HSCT.\n\nExclusion Criteria:\n\n* • Inaccurate sampling or dose administration times.\n\n  * Patients with missing key covariates.\n  * Patients lacking sufficient pharmacokinetic or TDM data","ALL","2 Years","65 Years",{"count":20,"type":21},300,"ESTIMATED","OBSERVATIONAL","The purpose of this study is to develop a new tool that helps doctors choose the right cyclosporine dose for patients undergoing bone marrow transplantation. The tool is designed to predict the best dose using sparse sampling, making it practical for everyday clinical care. It combines information about population pharmacokinetics of cyclosporine with advanced artificial intelligence techniques, including machine learning and deep learning. This tool aims to improve treatment, personalize dosing for each patient, and reduce the risk of graft-versus-host disease.",[25,26],"Bone Marrow Transplantation","AML",[28,29],"Clinical Pharmacokinetics","Machine learning","NOT_YET_RECRUITING","2026-07-08",{"date":33,"type":34},"2026-07-10","ACTUAL",{"date":36,"type":21},"2026-08-01",{"date":38,"type":21},"2027-06-01",{"name":40,"class":41},"Yasmin medhat munir Mohamed","OTHER",""]