Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,124 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT05523245Recruiting
AI MRI test to predict treatment response in rectal cancer
This study uses an AI computer program to read special MRI images and predict how well treatment (given before surgery) will work for people with locally advanced rectal cancer. It may help doctors better plan who benefits most from neoadjuvant therapy (treatment before surgery).
Guangzhou, GuangdongAges 18 years+ - NCT05527795Recruiting
Study features that predict benefit from extra immunotherapy in melanoma
This study looks for lab and tumor features that may help predict who benefits from follow-up (adjuvant) immunotherapy after surgery for melanoma. Your past treatment and tumor samples may be used to improve future treatment decisions.
Pierre-BéniteAges 18 years+ - NCT05542056Recruiting
Test urine markers to predict low sodium from water pills
This study looks for a signal in your urine that could help predict who will develop low blood sodium (hyponatremia) after starting a thiazide-type “water pill.” It may help doctors spot higher-risk people early and adjust care sooner.
MóstolesAges 18 years+ - NCT05544097Recruiting
Listening to bowel sounds in very early preterm babies
This study listens to bowel sounds in very early preterm babies to see if sound patterns can predict a serious gut problem called enterocolitis. If you qualify, your baby may get monitored with harmless sound checks to help doctors catch problems earlier.
AmiensAges Up to 7 months - NCT05546138Recruiting
Study for early diabetic nerve damage in people with diabetes
This trial looks for and studies early nerve problems in the feet or legs that can happen with diabetes, before nerve damage is clearly diagnosed. It may help doctors better predict who is at risk and understand early changes.
AalborgAges 18–60 - NCT05562375Recruiting
Testing a device to detect early mouth pre-cancer changes
This study checks whether a handheld device (GOCCLES®) can spot early mouth “pre-cancer” changes by looking at suspicious areas in the mouth. If it works, it could help doctors find these problems earlier and guide next steps.
Alcorcón, MadridAges 18 years+ - NCT05572944Recruiting
Using family risk to predict lung cancer in never-smokers
This study builds and tests risk prediction tools for lung cancer in people who have never smoked, using information from family history. If it works, it may help doctors identify who might need closer screening earlier.
Taichung, TaiwanAges 20–80 - NCT05577819Recruiting
Screening for ATTR heart amyloid in older HFpEF patients
This study looks at how often a specific heart condition (ATTR amyloid) occurs in people age 65+ who have HFpEF. It also tries to predict who might have it, using a special heart scan, and may help your care team identify it earlier.
Boston, MassachusettsAges 65 years+ - NCT05586334Recruiting
Test a device to help predict preterm birth risk
This trial tests an innovative device that measures risk of preterm birth in pregnant people who come to the emergency room early in pregnancy with signs that labor might start. It may help doctors identify who needs closer monitoring or treatment sooner.
ColombesAges 18 years+ - NCT05589207Recruiting
Model to predict outcomes in kidney cancer with IVC wall invasion
This study uses information from scans and surgery findings to build a prediction model for people with kidney cancer that has grown into a major vein (the IVC). It aims to help doctors better estimate outcomes and guide care after surgery.
Beijing, Beijing MunicipalityAges 18 years+ - NCT05595408Recruiting
Tracking tumor DNA to predict relapse after upper kidney cancer surgery
This study checks tumor DNA found in blood and urine to see who is at higher risk of the cancer coming back after surgery. It may help doctors identify “minimal residual disease,” meaning tiny amounts of cancer that can remain after treatment.
Shanghai, Shanghai MunicipalityAges 18 years+ - NCT05602610Recruiting
Predicting relapse risk after visceral leishmaniasis
This study looks at a prognostic score to predict whether visceral leishmaniasis (VL) will come back after treatment. If you qualify, your information may help doctors estimate relapse risk and plan follow-up more safely.
GonderAges 12 years+ - NCT05629104Recruiting
Predicting long-term outcomes after aortic valve procedure
This study follows people who have aortic valve treatment to better predict how they will do in the long term. It may help doctors understand what outcomes to expect after the procedure and improve future care.
UppsalaAges 18 years+ - NCT05630469Recruiting
Predicting who will benefit from electroconvulsive therapy
This study looks for ways to predict how well electroconvulsive therapy (ECT) will work for severe depression. It may help doctors choose the best treatment approach and timing for future patients.
ViennaAges 18–65 - NCT05645081Recruiting
Blood test study to predict stroke risk after TIA
This trial studies tiny particles in your blood (called extracellular vesicles) to understand and predict stroke risk after a TIA (a temporary stroke-like episode). It may help doctors identify who is at higher risk using blood samples, rather than only symptoms and scans.
Merthyr TydfilAges 18 years+ - NCT05647109Recruiting
Test tumor-like cell clusters to predict progesterone response
This study looks at small lab samples taken from early endometrial cancer to see how sensitive the tumor is to progesterone treatment. It may help doctors choose the safest treatment that preserves fertility and the uterus for the right patients.
Beijing, Beijing MunicipalityAges 17–45 - NCT05649683Recruiting
Blood immune testing to predict melanoma response to immunotherapy
This study checks how your immune system behaves (through an immune testing process) to see if it can predict how well advanced melanoma will respond to checkpoint inhibitor treatment. It may help doctors choose the right treatment sooner, without guessing.
Nice, Alpes-maritimesAges 18 years+ - NCT05652348Recruiting
Predicting outcomes after heated chemotherapy for stomach or colon spread
This study tries to better predict how well patients do after heated chemotherapy placed in the abdomen during surgery for stomach or colon cancer that has spread to the lining of the abdomen. It may help doctors choose the best treatment plan and timing for future patients.
DresdenAges 18 years+ - NCT05658965Recruiting
EEG monitoring after early heart surgery in infants
This study looks at whether early brain-wave testing (EEG) around the time of heart surgery in very young babies can predict later learning and development issues. It may help doctors identify children who need extra support sooner.
Lille, Hauts-de-FranceAges 1 day–1 year - NCT05700149Recruiting
Study tests tumor testing to predict nodal marginal zone lymphoma
This study collects and analyzes tumor samples from people with nodal marginal zone lymphoma to better understand the disease and predict outcomes. It may help doctors characterize the lymphoma more accurately using clinical and lab information.
Miami, FloridaAges 18 years+ - NCT05718622Recruiting
EECP for people with stable first stroke and blocked artery
This study looks at whether EECP (a non-surgical therapy that helps blood flow) improves outcomes in people who recently had their first ischemic stroke and have a narrowed or blocked artery. It also aims to predict who may benefit most based on health data.
Xi'an, ShaanxiAges 18–80 - NCT05720663Recruiting
Predicting liver outcomes in fatty liver cirrhosis
This study looks at how to predict future outcomes in adults who have fatty-liver disease (NAFLD) that has progressed to cirrhosis. It may help doctors better estimate risk and plan care, using information from liver tests and scans.
Rochester, MinnesotaAges 18 years+ - NCT05722275Recruiting
Predicting peritoneal spread in advanced stomach cancer
This trial uses CT scan images and a look inside the abdomen (laparoscopy) to predict whether advanced stomach cancer has spread to the lining of the abdomen (the peritoneum). It may help your care team better identify who already has peritoneal spread and who might not.
BeijingAges 18 years+ - NCT05736029Recruiting
Using blood and tumor data to predict cancer treatment response
This study looks at “multiomics” information (many types of biological data, like blood and lab markers) to predict how well cancer treatments may work for you. It may help doctors choose better treatments in the future based on what your body is doing during therapy.
Dallas, TexasAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,124 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.