Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,131 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07617038Enrolling by invitation
MRI Scan to Predict Liver Cancer Treatment Response
This trial uses a special type of MRI scan to see if doctors can predict how well a liver cancer treatment (called TACE) will work for you. The scan may help doctors understand your treatment response better.
Montreal, QuebecAges 18–70 - NCT07567664Enrolling by invitation
Brain Changes in Neurodegenerative Diseases: A Tracking Study
This research study tracks how brain damage progresses in rare neurodegenerative diseases like frontotemporal dementia, primary progressive aphasia, PSP, CBS, and ALS. Researchers use brain imaging and tests to understand how these diseases spread in the brain, which could help develop better treatments.
Milan, LombardyAges 20–85 - NCT07444528Enrolling by invitation
Neck ultrasound to predict difficult breathing tube placement in babies
This study uses an ultrasound of the neck to see if doctors can predict which babies under 1 year old might have a harder time getting a breathing tube placed. The goal is to improve safety during anesthesia and procedures.
Philadelphia, PennsylvaniaAges Up to 12 months - NCT07439913Enrolling by invitation
Predicting cancer return and bladder control after robot prostate surgery
This study looks at factors that can predict whether prostate cancer will come back in the 10 years after robot-assisted prostate removal surgery, and how well bladder control (urinary continence) recovers. It helps doctors understand which patients might do better long-term.
Banská BystricaAges Any age - NCT07432685Enrolling by invitation
Can movement predict chronic pain after combat limb injuries?
This study is looking for people with combat-related arm or leg injuries to see if how they move can predict long-term pain. Researchers hope to better understand who might develop chronic pain and help improve treatment.
LvivAges 18–50 - NCT07410403Enrolling by invitation
AI study to predict genetic changes in myeloma cells
This trial uses artificial intelligence to look at individual myeloma cells under a microscope to predict genetic abnormalities (FISH results). It may help doctors understand your myeloma better without waiting for a separate FISH test.
Wuhan, HubeiAges Any age - NCT07373951Enrolling by invitation
Predicting cancer gene status from MRI scans in brain metastasis
This trial uses brain MRI scans and deep learning to predict whether non-small cell lung cancer that has spread to the brain has certain gene changes (EGFR or ALK). Knowing this may help guide treatment without needing additional tissue testing.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07350343Enrolling by invitation
Comparing 3D-printed vs thermofit clear aligners
This study compares two ways of making clear plastic aligners to straighten teeth. It looks at whether directly 3D-printed aligners work better than ones made by pressing a plastic sheet over a 3D model. This could be for people with mild to moderate teeth alignment issues.
KarbalaAges 16–40 - NCT07345377Enrolling by invitation
Personalized brain stimulation for irritable bowel syndrome
This study uses brain stimulation (TMS) customized for each person to treat IBS. It uses MRI scans to see how the brain responds, aiming to find better ways to predict who will benefit from this therapy.
Hangzhou, ZhejiangAges 18–75 - NCT07279376Enrolling by invitation
Using an algorithm to improve HIV care for health home members
This study tests a computer-based algorithm to help improve HIV care for people who are part of a special care management program called a Health Home. It aims to make sure you get the support and treatment you need.
New York, New YorkAges 18 years+ - NCT07243119Enrolling by invitationPhase 4
Heart failure study with adenosine scans to predict recovery
This trial tests whether high-dose adenosine during a heart scan can better predict how well your heart muscle might recover, compared to standard dosing. The information could help doctors personalize treatment for people newly diagnosed with heart failure and a low ejection fraction.
HerningAges 18–100 - NCT07207239Enrolling by invitation
Brain stimulation for treatment-resistant depression
This trial is testing a type of brain stimulation therapy called theta-burst rTMS to see if it helps with depression that hasn't improved with standard treatments. It also uses brain scans to predict who might respond best.
Budapest, Pest CountyAges 18 years+ - NCT07190378Enrolling by invitation
Predicting and tracking steroid-related diabetes
This study looks at how to predict and monitor diabetes caused by steroid medications. It may help if you are about to start taking steroids for a medical condition and do not have diabetes.
Warsaw, WarsawAges 18 years+ - NCT07185516Enrolling by invitation
Ultrasound to predict difficult airway in children
This trial uses ultrasound to measure children's airways before surgery, aiming to predict if placing a breathing tube will be difficult. It could help doctors prepare better and keep kids safer during anesthesia.
CairoAges 7–12 - NCT07151846Enrolling by invitation
Using phone data to predict depression
This study uses your smartphone and a Fitbit to track mood patterns and see if they can predict depression. You may join as someone with a mood disorder, as a healthy volunteer, or as someone at higher risk for mood problems.
Seoul, Seongbuk-guAges 19–75 - NCT07107815Enrolling by invitation
Predicting rectal cancer treatment response using MRI
This study uses advanced MRI scanning and computer analysis to predict how well rectal cancer might respond to treatments given before surgery. It may help doctors choose the best approach for you.
Beijing, Beijing MunicipalityAges Any age - NCT07090382Enrolling by invitation
Predicting shock risk in heart attack patients
This study uses an AI tool to predict which patients with a heart attack might develop cardiogenic shock, a serious complication where the heart can't pump enough blood. It aims to help doctors identify high-risk patients early.
BratislavaAges 18 years+ - NCT07047937Enrolling by invitation
Machine learning to predict early gastric cancer
This study uses machine learning to find patterns in patient data that might help predict early-stage stomach cancer. It could help doctors catch the disease sooner.
Wenzhou, ZhejiangAges Any age - NCT06947096Enrolling by invitation
AI prediction of stomach cancer spread to lymph nodes
This study uses artificial intelligence to analyze your CT scan and predict whether stomach cancer has spread to lymph nodes behind your belly. The goal is to help doctors decide if you need more extensive surgery.
Shijiazhuang, None SelectedAges 18–80 - NCT06913985Enrolling by invitation
Study on heart health in teens and young adults
This study looks at how fitness, sleep, and diet during childhood affect heart and metabolic health in teenagers and young adults. It uses data and samples already collected from participants in earlier studies.
Little Rock, ArkansasAges 13–21 - NCT06888635Enrolling by invitation
Predicting injury in athletes through metabolic markers
This study looks for chemicals in the body that change after sports injuries, which could help doctors understand and treat injuries better. It is for athletes aged 12 to 30 who have had a recent injury like a muscle pull, sprain, bruise, torn ligament, dislocation, or fracture during exercise.
ShanghaiAges 12–30 - NCT06842420Enrolling by invitation
Predicting return to work after stroke rehab
This study looks at what helps people return to work after a stroke. Researchers will review data from patients who had rehab at Changi General Hospital to find patterns that predict a successful return to work.
Singapore, SingaporeAges 21 years+ - NCT06841341Enrolling by invitation
Predicting breathing problems in ALS
This study uses ultrasound and electrical tests of breathing muscles and nerves to see if they can predict breathing failure in people with ALS. This could help doctors know when a patient might need breathing support.
Krakow, Lesser Poland VoivodeshipAges 18–80 - NCT06836245Enrolling by invitation
Hypothermia risk study for surgery patients
This study looks at how common low body temperature is during surgery and tests a tool to predict it. It may help your surgical team keep you warmer and safer.
Wuhan, HubeiAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,131 recruiting prediction studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a prediction trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a prediction trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.