Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,117 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06452173Enrolling by invitation
Risk prediction for stroke in carotid artery narrowing
This study uses MRI scans to build a risk prediction model for stroke and other cerebrovascular events in people with carotid artery stenosis (narrowing of the neck arteries). By participating, you help doctors better understand who is at highest risk, which may lead to more personalized treatment.
Beijing, Beijing MunicipalityAges Any age - NCT06450964Enrolling by invitation
Studying Mitochondrial Disease to Improve Genetic Counseling
This study aims to learn more about mitochondrial DNA diseases by building a group of people with these conditions. The information gathered may help doctors give better genetic counseling to families.
Hefei, AnhuiAges Any age - NCT06385366Enrolling by invitation
Using early blood test to predict pregnancy complications
This study looks at a blood test done early in pregnancy (NIPT) to see if it can help predict conditions like preeclampsia, preterm labor, or gestational diabetes. If you had this test and had a healthy pregnancy or one of these complications, you may be able to join.
Ho Chi Minh City, Hồ Chí MinhAges 18–80 - NCT06002100Enrolling by invitation
Predicting depression treatment response with brain imaging
This study uses a special headband (TD-fNIRS) that measures brain activity to see if it can predict how well different depression treatments work. You would be starting a new treatment for depression (like ketamine, SPRAVATO, TMS, or antidepressants) and wear the headband before and during treatment.
Costa Mesa, CaliforniaAges 18–75 - NCT05830422Enrolling by invitation
Predicting late thinking problems after cardiac arrest
This study looks at how to predict delayed cognitive (thinking) impairment in people who survived a cardiac arrest but initially seemed neurologically okay. It may help identify who is at higher risk so follow-up and support can be planned earlier.
Daejeon, Seo-guAges 18 years+ - NCT05810428Enrolling by invitation
Using AI to predict outcomes and test pain treatment for trigeminal neuralgia
This study uses computer-based (AI) predictions to better understand what happens after a specific procedure for trigeminal neuralgia, a face pain condition. It also checks how well a “pain neuromodulation” approach works and what it feels like over time.
MilanAges 18 years+ - NCT05601596Enrolling by invitation
Study of menstrual samples for endometriosis
This study collects menstrual blood and cheek-swab DNA to better understand endometriosis. It may help researchers find markers that could eventually lead to earlier diagnosis and improved treatment planning.
Manhasset, New YorkAges 18–40 - NCT05408728Enrolling by invitation
Check how sugar absorption predicts weight loss after endoscopy
This study looks at whether a person’s “sugar absorption” pattern can help predict how much weight they will lose. It involves an endoscopy (a look inside the upper digestive tract) as part of routine care, and then matching the results to future weight change.
Jacksonville, FloridaAges 18 years+ - NCT04746378Enrolling by invitation
Using CT scans to estimate kidney stone size
This study checks how accurately doctors can estimate the size of kidney stones using CT scan images before treatment. It may help improve planning for procedures like shockwave therapy, scope procedures, or surgery.
Ghent, Eastern-FlandersAges 18 years+ - NCT04178915Enrolling by invitation
Blood marker study to predict severe bacterial lung infection
This study looks at specific immune cells and how fats are transported in the blood to predict which people will have a severe bacterial infection (like pneumonia or sepsis). Your results may help doctors identify higher-risk patients earlier.
MinskAges 18–60 - NCT04149613Enrolling by invitation
Blood marker study for new stage IV colon cancer
This study looks at blood tests (inflammatory markers and small RNA molecules called microRNAs) to better predict how stage IV colon cancer may progress. It may help doctors identify who is likely to do better or worse and tailor future care.
BeirutAges 18 years+ - NCT03369353Enrolling by invitation
Personalized immune testing study for bowel and transplant patients
This study looks at whether a precise lab test can help understand inflammatory bowel disease, functional gut disorders, and immune changes after stem cell transplant or cell therapy. It may help doctors choose better monitoring and treatments based on your immune and gut test results.
Boston, MassachusettsAges Any age - NCT03062748Enrolling by invitation
Study tests how sleep apnea and inflammation relate to risk
This study looks at people with mild to moderate obstructive sleep apnea (OSA) to understand how inflammation and breathing disruption may affect future heart and metabolism risk. It may help explain why some people develop higher risk even with milder sleep apnea.
Hershey, PennsylvaniaAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,117 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.