Clinical trials: Performance Prediction
- Condition Performance Prediction
- Funder type Industry (pharma, biotech, devices)
- Accepts healthy volunteers yes
Healthy, Osteopenia
Clinical Study to Predict the Risk of Bone Fractures With the POROUS Ultrasound Device
Osteoporosis is a widespread medical condition among older people. It causes the bones to weaken and become more likely to break.
- Conditions
- Healthy, Osteopenia, Osteoporosis
- Trial name
- POROUS-preFX (NCT06567054)
- Testing
- Measurements with the POROUS R3C ultrasound device at the midshaft tibia, DXA measurement of the hip and lumbar spine, DXA-based Vertebral Fracture Assessment (VFA)
- Where
- 6 sites in Austria, Germany and 1 more
- Volunteers
- 1,600 people, healthy volunteers welcome
- Sponsor
- POROUS GmbH
Uterine Bleeding Profile Prediction
A Study to Learn More About How a Smartphone App Called MyIUS Predicts Future Menstrual Bleeding in Women After They Have Begun Using Intrauterine Birth Control Method (a Birth Control Device is Inserted Into a Woman's Uterus by Her Doctor)
Researchers are looking to learn more about future menstrual bleeding in women who have started using intrauterine contraception methods.
- Trial name
- MyIUS (NCT04989595)
- Testing
- MyIUS app
- Where
- 6 sites in Brazil, Denmark and 4 more
- Volunteers
- 3,045 people, healthy volunteers welcome
- Sponsor
- Bayer
Aging, Aging Well
100-Year Human Aging Study
The 100-Year Human Aging Study is a prospective, pragmatic, observational trial enrolling participants across fixed clinical sites, mobile clinical sites, and an online participation pathway (current and future) to undergo…
- Conditions
- Aging, Aging Well, All-Cause Mortality, Mortality
- Trial name
- NCT07563777
- Testing
- Comprehensive Multi-System Clinical Screening
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.
Acute Coronary Syndrome, Angina Pectoris
Diagnostic Performance of Artificial Intelligence Algorithms in Prediction of Acute Coronary Syndrome Based on White Blood Cell Properties
The goal of this observational study is to evaluate whether artificial intelligence (AI) algorithms can predict or exclude acute coronary syndrome (ACS) in adults using data generated by routine hematology testing.
- Conditions
- Acute Coronary Syndrome, Angina Pectoris, NSTEMI - Non-ST Segment Elevation MI, STEMI - ST Elevation Myocardial Infarction
- Trial name
- NCT06384846
- Where
- Austria
- Volunteers
- 3,350 people, healthy volunteers welcome
- Sponsor
- RobotDreams GmbH
Aging, Mortality
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy.
- Conditions
- Aging, Mortality, Cardiovascular Disease Prevention, Metabolic Syndrome
- Trial name
- NCT07808619
- Testing
- AIML scored health screening battery
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.