Clinical trials: Learning Outcome, open to volunteers
Patient-Reported Outcome Measures (PROMs), Pragmatic Trial
A Pragmatic Clinical Trial of the WE BEAT Well-Being Education Program in Adolescent Congenital Heart Disease: WE BEAT CHD Study
The goal of this pragmatic clinical trial is to learn if the WE BEAT program, a 5-week group-based online wellbeing and skill-building program, can help teens with congenital heart disease (CHD) improve their ability to handle…
- Conditions
- Patient-Reported Outcome Measures (PROMs), Pragmatic Trial, Adolescent Congenital Heart Disease, Resiliency-building Intervention
- Trial name
- PHN WBC (NCT07525843)
- Testing
- Telemedicine-based resiliency-building intervention
- Where
- 14 sites in United States
- Volunteers
- 390 people
- Sponsor
- Carelon Research
IVF Outcomes, Prediction Models
Machine-Learning Prediction of Pregnancy Outcomes After Assisted Reproductive Treatments
The goal of this observational study is to develop and validate a machine-learning model to predict pregnancy outcomes in women with a positive pregnancy test following assisted reproductive treatment (ART), with the primary…
- Conditions
- IVF Outcomes, Prediction Models, Infertility Assisted Reproductive Technology, Live Birth
- Trial name
- NCT07855783
- Testing
- Machine-Learning Model for Prediction of Pregnancy Outcomes
- Where
- 2 sites in Croatia
- Volunteers
- 2,200 people
- Sponsor
- BetaPlus Center for Reproductive Medicine
Clean Intermittent Catheterization
Effect of Mobile Application- and AI Supported Video-Based Patient Education on Patient Outcomes in Teaching Clean Intermittent Catheterization
The study aimed to determine the effects of a mobile application and an artificial intelligence-supported educational video, developed for patients who will perform clean intermittent catheterization (CIC), on patients'…
- Trial name
- NCT07489261
- Testing
- Mobile application, Artifial intellgience
- Where
- Turkey (Türkiye)
- Volunteers
- 99 people
- Sponsor
- Mersin University
Left Bundle-Branch Block
Prediction of Outcome by Echocardiography in Left Bundle Branch Block
Patients with left bundle branch block have an increased risk for the development of heart-failure and death. However, risk factors for unfavorable outcomes are still poorly defined.
- Trial name
- EchoLBBB (NCT04293471)
- Where
- Norway
- Volunteers
- 2,000 people
- Sponsor
- University Hospital of North Norway
Database, Prostate Cancer
National Robotics-Assisted Radical Prostatectomy Database
In Australia, nearly 70 men are diagnosed with Prostate cancer every day. Prostate removal (Radical Prostatectomy) is the proven treatment option to control cancer spread.
- Conditions
- Database, Prostate Cancer, Robotic-assisted Radical Prostatectomy, Surgical Outcomes
- Trial name
- RASOR (NCT06279260)
- Where
- 8 sites in Australia
- Volunteers
- 10,000 people
- Sponsor
- Melbourne Health
BRCA1 Mutation, POLD1 Gene Mutation
An Intervention to Increase Genetic Testing in Families Who May Share a Gene Mutation Related to Cancer Risk and An Intervention to Help Patients and Their Primary Care Providers Stay Up-to-date About Uncertain Genetic Test Results
The purpose of this study is to examine the impact of new cancer genetic counseling models that aim to increase patient engagement with the genetics team.
- Conditions
- BRCA1 Mutation, POLD1 Gene Mutation, CDKN2A Mutation, BRCA2 Mutation
- Trial name
- NCT05420064
- Testing
- Intervention Arm At-risk Relative/ARR Contacts, MyGene Portal, Standard of Care
- Where
- 8 sites in United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Memorial Sloan Kettering Cancer Center
Infertility, Stress
Online and Mobile Support Program and Fertility
Our study is designed as a randomized controlled experimental study with a pre-test and post-test control group to determine the effects of online fertility preparation classes and fertility mobile application support, based on…
- Trial name
- NCT06824272
- Testing
- MOBIL AND ONLINE EDUCATION
- Volunteers
- 128 people, healthy volunteers welcome
- Sponsor
- Dokuz Eylul University
Gingival Recessions
AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs
This study evaluates whether the outcome of root coverage surgery can be predicted from a preoperative intraoral photograph. Adults with Cairo RT1,RT2 or RT3 gingival recessions treated with a coronally advanced flap and a…
- Trial name
- NCT07775365
- Testing
- Coronally advanced flap with subepithelial connective tissue graft, Deep learning based prediction of root coverage outcome
- Where
- Turkey (Türkiye)
- Volunteers
- 36 people, healthy volunteers welcome
- Sponsor
- Marmara University
Lung Cancer (NSCLC)
Postoperative Pulmonary Function Assessment Based on Deep Learning Study
Improvements in low-dose CT screening have led to an increase in early-stage NSCLC diagnoses, with surgical resection-usually lobectomy or segmentectomy-remaining the primary curative option.
- Trial name
- NCT07256457
- Testing
- Segmentectomy, Lobectomy, Bronchoscopic Ablation
- Where
- Hong Kong
- Volunteers
- 192 people
- Sponsor
- Chinese University of Hong Kong
Performance Enhancement, Athlete
Augmented Feedback Effects on Shoulder Rotator Performance
The existing literature demonstrates that motor learning strategies are effective in enhancing sports performance. One of these strategies, augmented feedback, is widely used in athletic training to help athletes achieve their…
- Conditions
- Performance Enhancement, Athlete, Shoulder
- Trial name
- NCT07510893
- Testing
- Augmented Feedback
- Where
- Turkey (Türkiye)
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Elif Turgut
Congenital Anomalies, Development Delay
Result Of Karyotyping in Pediatric Patients With Congenital Anomalies and Developmental Delay
The goal of this observational cross-sectional study is to study the results of karyotyping analysis for children presented with congenital anomalies and developmental delay aged 1 month to 12 years, the need for further genetic…
- Trial name
- NCT07167017
- Volunteers
- 75 people
- Sponsor
- Assiut University
Stroke Outcome Prediction Supported by Deep Learning Algorithm
STOP-stroke: STroke Outcome Prediction in the Acute Treatment Setting
The STOP-stroke project aims at improving prediction of outcome early after stroke. In order to achieve this, we need to understand reasons (important variables) for prediction in a real clinical prognostication process.
- Trial name
- STOP-STroke (NCT06534645)
- Where
- Switzerland
- Volunteers
- 250 people
- Sponsor
- University of Zurich
Duchenne Muscular Dystrophy (DMD), Cardiomyopathy
Modeling Mortality in Duchenne Muscular Dystrophy Cardiomyopathy: Identification of Surrogate Outcome Measures for DMD Drug Trials
Dystrophin associated heart dysfunction is a leading cause of death in patients with Duchenne and Becker Muscular dystrophy (DMD/BMD) and Duchenne and Becker muscular dystrophy carriers (MDC); however, the evolution of heart…
- Conditions
- Duchenne Muscular Dystrophy (DMD), Cardiomyopathy, Becker Muscular Dystrophy, Carrier of Duchenne Muscular Dystrophy
- Trial name
- NCT07674758
- Where
- 9 sites in United States
- Volunteers
- 1,000 people
- Sponsor
- Vanderbilt University Medical Center
Pulmonary Fibrosis
Single Time Point Prediction as Earlier Diagnosis of Progressive Pulmonary Fibrosis
This study is a prospective observational study for subjects with idiopathic pulmonary fibrosis (IPF) or non-IPF interstitial lung diseases (ILD).
- Trial name
- IS-PPF (NCT06162884)
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- University of California, Los Angeles