Clinical trials: Performance Prediction, open to volunteers
First-ever Ischemic Stroke, Cognitive Performance
Post-stroke Cognitive Impairment
Present study aims to track the post-stroke cognitive trajectories and to investigate its inter-individual variability.
- Trial name
- CogStroke (NCT05653141)
- Where
- Switzerland
- Volunteers
- 600 people
- Sponsor
- Roza Umarova
Bacteremia, Sepsis Bacterial
Prospective Validation of GRADY: A Machine Learning Model for Early Sepsis and Bacteremia Detection in ICU Patients
This study aims to prospectively validate the GRADY prediction models, which use machine learning algorithms to estimate the risk of gram-negative bacteremia and sepsis in intensive care unit (ICU) patients based on routinely…
- Trial name
- NCT07126106
- Where
- Turkey (Türkiye)
- Volunteers
- 55 people
- Sponsor
- Sisli Hamidiye Etfal Training and Research Hospital
Heart Transplantation, Graft Rejection
ZeroHeart Biopsy - Prediction of Deceased Donor Heart Transplant Performance From Organ Donors Using Pre-Transplant Biopsies - A Pilot Study
The goal of this observational study is to evaluate whether molecular analysis of donor heart biopsies taken at the time of organ removal ("Time Zero") can help predict the future function and rejection risk of the transplanted…
- Conditions
- Heart Transplantation, Graft Rejection, Myocardial Injury, Organ Preservation
- Trial name
- ZeroHeart (NCT06982404)
- Testing
- Time Zero Donor Heart Biopsy for Molecular Analysis
- Where
- Austria
- Volunteers
- 50 people
- Sponsor
- Medical University of Vienna
Performance Prediction
Cochlear-Implant-Performance-Prediction
Despite improved technology, many cochlear implant (CI) recipients still struggle to understand speech in noise (SIN). Because the bottom-up acoustic signal generated by the implant is distorted relative to normal-hearing…
- Trial name
- NCT07564388
- Testing
- cochlear implant user performance prediction
- Where
- United States
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Northwestern University
Obesity (BMI>30)
Machine Learning Prediction of Respiratory Muscle Changes and Ventilatory Responses After Incretin-Based Therapy in Obesity
This study aims to evaluate changes in respiratory function, respiratory muscle performance, and ventilatory responses following incretin-based therapy in individuals with obesity, and to identify predictors of these changes…
- Trial name
- NCT07663591
- Testing
- Incretin-based therapy
- Volunteers
- 48 people, healthy volunteers welcome
- Sponsor
- Biruni University