Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,080 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT05392413Recruiting
Predicting who benefits from PD-1 antibody for esophageal cancer
This study uses an “immune indicator model” to help predict how well a PD-1 antibody (a cancer-fighting immune drug) works when combined with chemotherapy for stage IV esophageal squamous cell cancer. If you qualify, you receive the treatment and the researchers also look for immune-related signs that may explain who benefits most.
GuangzhouAges 18–75 - 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+ - NCT05408897Recruiting
Blood test to predict risk after surgery for high-risk GIST
This study uses a “liquid biopsy” blood test to look for leftover cancer signals after surgery. It aims to predict how well treatment will work and how likely the cancer is to come back in people with high-risk GIST.
Beijing, Beijing MunicipalityAges Any age - 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+ - NCT03621904Recruiting
Predicting response to hormone treatment in endometrial cancer
This study looks at whether biopsy test results can help predict how well hormone therapy will work for advanced or recurrent endometrial cancer. It may help doctors choose the most effective hormonal treatment sooner.
NijmegenAges 18–110 - 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+ - NCT05237063Recruiting
Predicting kidney stone recurrence and complications using precision medicine
This study looks for better ways to predict when kidney stones may come back and what complications might happen. It may help doctors personalize follow-up and prevention plans based on information collected from you.
AmiensAges 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+ - 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+ - 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 - NCT05763446Recruiting
Predicting heavy blood transfusion during liver transplant
This study looks for factors that can predict when a person might need a very large blood transfusion during a liver transplant. The results may help the transplant team prepare sooner and better manage transfusions during surgery.
RomeAges 18 years+ - NCT05916755Recruiting
Testing tumor clues that predict response to immunotherapy
This study looks for “biomarkers,” or tumor clues, that may help predict who benefits from checkpoint inhibitor immunotherapy in triple-negative breast cancer. It may help doctors choose the right treatment approach in the future, especially when chemotherapy is planned.
BarcelonaAges 18 years+ - NCT05929365Recruiting
Test genetic marker tracking to find returning colon polyps
This study looks at stool or tissue DNA changes (called mutation analysis) plus colonoscopy findings to detect whether colon polyps come back. It may help catch recurrent colorectal lesions earlier during surveillance after a large polyp was removed.
PragueAges 18–75 - NCT06015802Recruiting
Predicting pituitary tumor behavior with markers and scans
This study looks at whether blood and tissue markers, along with imaging features, can predict how aggressive a pituitary neuroendocrine tumor is and how it may affect long-term health. It aims to improve treatment decisions by better understanding these tumors.
Guangzhou, GuangdongAges 18–70 - NCT05405270Recruiting
Testing how well imiquimod works for abnormal cervix cell changes
This study looks for ways to predict who will respond to imiquimod cream for precancerous cervical cell changes (CIN2 or CIN3). Results may help doctors choose the best treatment approach and better plan follow-up.
BredaAges 18 years+ - NCT06035250Recruiting
AI predicts stomach cancer response to chemo before surgery
This study tests whether an AI tool can predict how well stomach cancer responds to chemotherapy before surgery. It uses CT scans and biopsy images taken before treatment starts to see if the AI can help guide future care.
BeijingAges 18 years+ - NCT05187819Recruiting
Blood test to help diagnose possible Alzheimer’s
This trial checks whether a simple blood test can help doctors diagnose Alzheimer’s in people who seem to have memory problems. If you’re being evaluated for possible dementia, your doctor may refer you to a memory clinic for testing and follow-up.
StavangerAges 40–100 - NCT06065982Recruiting
Study of a method for placing a dialysis catheter (PREDICT)
This study watches how well a certain method (percutaneous) works for placing a peritoneal dialysis (PD) catheter, which is a soft tube used for a type of kidney dialysis. By tracking patients’ experiences before and after the procedure, the study aims to improve care for people with kidney failure.
BrusselsAges 18 years+ - NCT06041945Recruiting
AI study for cheaper colon cancer screening
This study uses artificial intelligence to help doctors predict if colon polyps are harmless during a colonoscopy. This could reduce the need for lab tests and save costs.
Rozzano, MilanoAges 40 years+ - NCT05997719Recruiting
Study of EGFR-mutated lung cancer evolution and markers
This study looks at how EGFR-mutated lung cancer changes over time and tries to find markers that can predict how well you might respond to treatment. You will provide a tumor sample for genetic analysis.
GuanzhouAges 18 years+ - NCT06098495Recruiting
Blood test to predict female infertility
This trial looks for a blood test that could help predict infertility in women. If you are between 18 and 43, struggling with infertility or recurrent pregnancy loss, this study may be a fit.
MilanAges 18–43 - NCT06026436Recruiting
Predicting clot and bleeding risk in kidney disease patients after a heart attack
This trial tests whether a blood test looking at platelets and tiny cell particles can help predict future blood clots or bleeding in people who have both chronic kidney disease and a recent heart attack. The goal is to improve treatment safety.
MarseilleAges 18–90 - NCT05752812Recruiting
HELPP score study for pancreatic cancer outcomes
This study looks at a pretreatment score (called the HELPP score) to predict survival in people with localized pancreatic ductal adenocarcinoma. It may help doctors better estimate outcomes based on information gathered before treatment.
ViennaAges 18–99 - NCT04130971Recruiting
Testing tumor tissue to understand and predict colorectal cancer response
This study looks at tissue samples from people with colorectal cancer to better understand tumor features and how they may respond to treatment. If you have colorectal cancer, the trial may help researchers match future treatments more effectively.
GothenburgAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,080 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.