[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Polytechnic Institute of Porto\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":81},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":26,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100629480","expert-validation-of-an-autonomous-personalized-physical-activity-algorithm-100629480",false,"NCT07475221","Expert Validation of an Autonomous Personalized Physical Activity Algorithm","Validation of a Personalized Physical Activity Algorithm Via Modified e-Delphi (InnovaMotion Project)","APPA e-Delphi","Inclusion Criteria\n\n* Experts in Physical Activity and Exercise with recognized scientific or professional experience and a relevant doctoral degree.\n* Availability to complete two rounds of the online modified Delphi questionnaire.\n* Willingness to participate in an online focus group if consensus is not reached.\n* Ability and willingness to provide informed consent.\n\nExclusion Criteria\n\n* Individuals unable to provide informed consent.\n* Individuals without access to a computer, smartphone, tablet, or other internet-enabled device necessary to complete the online survey.","ALL","18 Years",{"count":20,"type":21},9,"ESTIMATED","OBSERVATIONAL","This study aims to validate a personalized physical activity algorithm for risk screening and individualized exercise prescription using a modified online Delphi process. International experts in physical activity and exercise will evaluate the algorithm's components over two rounds of questionnaires, with consensus defined as ≥70% agreement. If needed, a focus group will resolve any remaining disagreements. Validation of this algorithm may support safer, more effective autonomous exercise, promoting adherence, improved health outcomes, and population-level benefits.",[25],"Experts in Physical Activity Prescription and Risk Health Screening",[27,28,29,30,31,32,33,34],"eDelphi","physical activity","Modified Delphi","Digital Health","Expert Consensus","Exercise Prescription","screening","health risk stratification","RECRUITING","2026-03-14",{"date":38,"type":39},"2026-03-17","ACTUAL",{"date":41,"type":39},"2026-03-10",{"date":43,"type":21},"2026-12",{"name":45,"class":46},"Polytechnic Institute of Porto","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":59,"phases":60,"briefSummary":62,"conditions":63,"keywords":66,"overallStatus":72,"whyStopped":4,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":4},"100629461","iprgc-as-a-potential-biomarker-for-predicting-transcranial-magnetic-stimulation-treatment-response-in-major-depressive-disorder-100629461","NCT07474974","ipRGC as a Potential Biomarker for Predicting Transcranial Magnetic Stimulation Treatment Response in Major Depressive Disorder","Illuminating Depression: ipRGC as a Potential Biomarker for Predicting Transcranial Magnetic Stimulation Treatment Response in Major Depressive Disorder","BRIGHT","Inclusion Criteria:\n\n* Diagnosis of MDD, confirmed via the structured clinical interview;\n* TRD type;\n* Age between 18-65 years;\n* Visual acuity of 20\u002F32 or better.\n\nExclusion Criteria:\n\n* Prior rTMS treatment;\n* Contraindications for TMS;\n* Psychiatric disorders other than MDD;\n* Systemic diseases affecting the eyes (e.g., diabetes mellitus);\n* Ocular conditions;\n* Head injuries causing loss of consciousness;\n* Current or past alcohol\u002Fsubstance dependence within 6 months;\n* Neurodegenerative diseases;\n* Major neurological illnesses;\n* Use of medications affecting iris mechanics or the autonomic nervous system.","65 Years",{"count":58,"type":21},44,"INTERVENTIONAL",[61],"NA","This research explores the potential of retinal ganglion cells (RGCs), particularly intrinsically photosensitive RGCs (ipRGCs), as biomarkers for predicting response to transcranial magnetic stimulation (TMS) in treatment-resistant depression (TRD). We also aim to assess the impact of TMS treatment on RGCs and ipRGCs in TRD patients, investigating associations with clinical improvements and cognitive status. A clinical trial involving 44 patients with treatment-resistant depression (TRD) will be conducted. All participants will receive rTMS targeting the dorsolateral prefrontal cortex (DLPFC). Data will be collected pre- and post-intervention, as well as at a 2-month follow-up, using multiple outcome measures, including the post-illumination pupil response (PIPR). The project seeks to confirm the effectiveness of TMS and the potential of RGCs\u002FipRGCs as predictors of treatment response, thereby facilitating the development of personalized treatment strategies for TRD patients undergoing rTMS therapy.",[64,65],"Depression - Major Depressive Disorder","Treatment Resistant Depression",[67,68,69,70,71],"Major Depressive Disorder","Repetitive Transcranial Magnetic Stimulation","Retinal Ganglion Cells","ipRGCs","Treatment-resistant depression","NOT_YET_RECRUITING","2026-03-11",{"date":75,"type":39},"2026-03-16",{"date":77,"type":21},"2026-03-15",{"date":79,"type":21},"2027-07-31",{"name":45,"class":46},""]