Clinical trials
Prediction Model clinical trials
Below are recruiting prediction model clinical trials, each written for real people, not researchers. We’re tracking 162 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07521111Recruiting
Stomach Blood Flow and Feeding Tolerance in Critical Illness
This study examines whether measuring blood flow in the stomach using ultrasound can predict which hospitalized patients will struggle to tolerate tube feeding. Researchers hope this simple test might help doctors adjust feeding plans earlier and improve patient outcomes.
ShanghaiAges 18 years+ - NCT06957678Enrolling by invitation
AI predicts lymph node spread in stomach cancer using scans and biopsy
This study uses artificial intelligence to predict whether stomach cancer has spread to nearby lymph nodes. By analyzing your CT/MRI scans and biopsy results before surgery, the AI may help doctors plan your treatment more precisely.
Shijiazhuang, None SelectedAges 18–80 - NCT07846878Recruiting
Predicting pain after orthopedic surgery
This study tests a tool that doctors can use before surgery to predict whether you might have longer-lasting pain after bone or joint surgery. Knowing this in advance could help your care team plan better pain relief for you.
ChongqingAges 18–90 - NCT05186623Recruiting
Personalized prediction for ulcerative colitis treatment response
This study builds a prediction model to estimate how people with ulcerative colitis may respond to certain medicines. It may help doctors choose the most effective treatment sooner.
SeoulAges 18–79 - 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+ - NCT06198309Recruiting
Predicting worsening COPD in severe patients
This study builds a tool to predict which COPD patients are likely to have worsening symptoms. It may help your doctor better manage your care if you have severe COPD.
Beijing, Beijing MunicipalityAges 40–85 - NCT06262386Recruiting
Predicting lung cancer return after surgery
This study tests a new way to predict if non-small cell lung cancer will return after surgery. You will give blood samples to look for cancer cells, and the team will build a model to help plan better follow-up care.
Taoyuan CityAges 20–90 - NCT04300257Recruiting
Prediction tool for choosing treatment in sarcoma care
This trial tests a way to use patient information to help doctors decide which treatment approach may fit best for people with certain bone or soft-tissue tumors. It may help improve selection and care planning, but it depends on whether your data can be used.
Winterthur, Canton of ZurichAges Any age - NCT02434003Recruiting
Test a new way to predict scoliosis curve progression
This study follows adolescents with idiopathic scoliosis to see how well a new predictive model estimates whether the spinal curve will get worse over time. It may help doctors plan monitoring and treatment more accurately for young people with scoliosis.
San Diego, CaliforniaAges 10–15 - NCT05951764Recruiting
Checking risk prediction for heart and brain conditions
This study builds or tests computer models that predict risk for heart (cardiovascular) and thinking/memory (neurocognitive) problems using information from people in the general population. It may help improve early detection and planning for care.
ParisAges 45 years+ - NCT07848815Recruiting
Lung cancer checks for COPD patients
This study looks at people with COPD to find lung cancer earlier using risk-based checks. It may help catch cancer sooner and guide better care.
Vejle, Region SyddanmarkAges 50 years+ - NCT06451887Recruiting
Predicting brain swelling after stroke treatment
This study looks at how to predict dangerous brain swelling after endovascular treatment for large artery stroke. It uses CT scans to identify patients at risk, which could help doctors monitor and treat them more closely.
Hangzhou, ZhejiangAges 18–80 - NCT07830888Recruiting
Mitral valve prolapse rhythm risk study
This study looks at people with mitral valve prolapse who also have rhythm problems like extra beats or fast heart rhythms. The goal is to better understand risk and improve care.
OsloAges Any age - NCT06009315Recruiting
Stroke treatment outcome prediction study
This study looks at patients having a stroke procedure to remove a clot. It aims to predict how well people recover. If you are having this treatment, the study might help doctors understand your likely outcome.
Beijing, Beijing MunicipalityAges 18–100 - NCT06524245Recruiting
Predicting Colorectal Cancer Recurrence with Portal Vein Blood
This study looks at blood from a special vein near your liver (portal vein) to find markers that might predict if colorectal cancer will come back. The goal is to create a better way to identify patients who may need closer monitoring after surgery.
Beijing, Beijing MunicipalityAges 18 years+ - NCT06025240Recruiting
Better antibody monitoring after kidney transplant
This study tests a new way to monitor harmful antibodies after a kidney transplant. It may help prevent transplant rejection over time.
Liverpool, MerseysideAges 18 years+ - NCT07752238Recruiting
Predicting outcomes for newly diagnosed metastatic breast cancer
This study uses information from women with newly diagnosed breast cancer that has spread (metastatic) to create a tool that helps predict how the disease may progress. By looking at your medical records, they hope to improve care and help future patients.
Szombathely, Vas CountyAges 18 years+ - NCT07682025Enrolling by invitation
Imaging and eye model for PVR study
This study uses eye scans and computer models to better understand and predict a condition called proliferative vitreoretinopathy (PVR), which can cause vision problems after eye surgery. If you already took part in specific studies that collected your eye images, this trial may analyze those images with artificial intelligence (AI).
LondonAges 18 years+ - NCT07679321Recruiting
Anxiety & depression's effect on asthma control
This study looks at how anxiety and depression affect how well asthma medications work. It aims to help predict who might have an asthma attack, so doctors can treat you better.
Changsha, HunanAges 14 years+ - NCT07668037Recruiting
Understanding long-term survival in NSCLC immunotherapy
This study looks at patients with advanced non-small cell lung cancer who received immunotherapy (immune checkpoint inhibitors) alone or in combination with other treatments. It aims to understand why some patients survive longer than others by analyzing their medical data and using AI to predict outcomes.
BeijingAges 18 years+ - NCT06677814Recruiting
Anxiety risk test for men with premature ejaculation
This study aims to develop a tool to predict anxiety in men with premature ejaculation. Participants will fill out questionnaires to help build this model, which may lead to better support for emotional health.
Xi'an, ShaanxiAges 18 years+ - NCT07660263Recruiting
Predicting dementia after stroke with genetics and imaging
This study aims to develop a tool that predicts the risk of dementia after a stroke using genetic and imaging data. It enrolls both healthy adults and people who have had a stroke in the last 3 years.
Gyeonggi-do, Gyeonggi-doAges 19 years+ - NCT07635771Recruiting
Physical fitness and mental health during pregnancy and birth
This study looks at how a pregnant woman's fitness level and mental well-being might affect labor and breastfeeding success. Researchers will ask you about your physical activity and feelings throughout pregnancy to help predict how your labor might go.
Tortosa, TarragonaAges 18 years+ - NCT06697691Recruiting
Predicting rebleeding risk after upper gut bleeding
This study aims to create a tool that helps doctors predict if a patient with upper gut bleeding (not from veins) will rebleed while still in the hospital. It uses information from your hospital stay to better understand your risk and improve care.
Wuhan, HubeiAges 18 years+
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Common questions
- Are there clinical trials for prediction model?
- Yes. Clin2 currently lists 162 recruiting prediction model 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 model 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 model 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.