Clinical trials
Prediction Model clinical trials
Below are recruiting prediction model clinical trials, each written for real people, not researchers. We’re tracking 172 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- 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 - 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+ - NCT05763277Recruiting
Predicting early response to atezolizumab plus bevacizumab
This study tries to predict how well your cancer responds early after starting a treatment called atezolizumab plus bevacizumab. If you qualify, your information may help doctors choose better treatments sooner for people with advanced liver cancer.
SeoulAges 18–80 - 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 - NCT06017843Recruiting
Using AI to find TB cases in community camps
This trial tests whether an AI tool can help find undiagnosed tuberculosis (TB) faster in community camps. If you are over 15 and visiting a camp site, you may be able to join and help improve TB detection.
IslamabadAges 15 years+ - NCT06114589Recruiting
Predicting radiation side effects in breast cancer
This study is looking for biomarkers (genetic clues) to predict how patients will react to radiation after breast-conserving surgery. It aims to create a model that can personalize treatment to reduce side effects.
Aviano, PordenoneAges 18 years+ - 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 - NCT06328517Recruiting
Nutrition and liver cirrhosis: a study of outcomes
This study looks at how nutrition affects the health of people with liver cirrhosis (scarred liver) and aims to build a tool to predict their outcomes. If you have cirrhosis, joining may help researchers find better ways to support your health.
Chongqing, Chongqing MunicipalityAges 18–75 - NCT06448897Recruiting
AI model to predict lymph node spread in cervical cancer
This study uses artificial intelligence to analyze your preoperative MRI and pathology results to better predict if cervical cancer has spread to pelvic lymph nodes. The goal is to improve future treatment decisions for patients with cervical cancer.
Shanghai, Shanghai MunicipalityAges 18–80 - 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 - 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+ - NCT06533709Recruiting
Can PET-CT predict ovarian cancer surgery success?
This trial uses PET-CT scans to create a model that predicts how completely advanced ovarian cancer can be removed during surgery. It may help doctors plan the best treatment for you.
Guangzhou, GuangdongAges 18–80 - NCT06536257Recruiting
Personalized immunotherapy prediction for melanoma and other cancers
This trial is testing a new way to predict which immunotherapy might work best for your cancer. It uses a sample of your tumor to look for personal markers, so your treatment can be tailored to you.
Sydney, New South WalesAges 18 years+ - NCT06564428Recruiting
Ovarian cancer risk prediction study with genetic testing
This study looks at whether certain genetic mutations can help predict the risk of getting ovarian cancer. It aims to better understand how these inherited changes lead to the disease, which could help with early detection and prevention.
Beijing, Beijing MunicipalityAges 18 years+ - NCT06590220Recruiting
Predicting treatment needs for moderate to severe thyroid eye disease
This study aims to build a model that helps doctors predict how thyroid eye disease (TAO) will progress, specifically for patients with moderate to severe symptoms. If you have had TAO and meet the activity criteria, your participation could lead to better personalized care.
Shanghai, Shanghai MunicipalityAges 18–80 - 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+ - NCT06727903Recruiting
Predicting survival for older ICU patients
This study aims to create a tool to predict survival in older adults (75+) who are admitted to the ICU from the emergency room. It may help doctors better understand individual risks and make more informed care decisions.
Badalona, BarcelonaAges 75 years+ - NCT06776133Recruiting
Predicting heart pressure from vein size in children
This study looks at a possible link between the size of a large vein (the inferior vena cava) and the pressure in the right side of the heart in children. If the link is strong, doctors might one day use vein size to estimate heart pressure without more invasive tests.
Bologna, BolognaAges Up to 18 years - NCT06841653Recruiting
AI model to predict risk and improve treatment for endometrial cancer
This trial is testing whether a computer model powered by artificial intelligence can better predict outcomes for people with endometrial cancer or related conditions. It uses patient data and tissue samples to see if the model can help doctors choose the best care.
RomeAges 18 years+ - NCT06842264Recruiting
MRI brain test to predict prostate cancer risk
This study uses MRI scans and artificial intelligence to predict the risk of clinically significant prostate cancer. It may help find a way to detect aggressive cancers without needing a biopsy.
BeijingAges Any age - NCT06859242Recruiting
Predicting contrast dye leakage risk
This study is building a tool to predict which patients might have leakage of the contrast dye used in scans. It could help prevent complications during imaging procedures.
Wuhan, HubeiAges Any age - NCT06860945Recruiting
Predicting STIs in people on HIV PrEP in Spain
This study is for people in Spain who are starting or already taking PrEP pills to prevent HIV. It aims to create a tool that can help predict who might get a sexually transmitted infection while on PrEP, so doctors can offer better monitoring or prevention.
AlmeríaAges 16 years+ - NCT06902688Recruiting
Pharmacogenetic testing for kids at SickKids
This trial offers pharmacogenetic testing to children admitted to The Hospital for Sick Children to help doctors choose safer, more effective medications based on their genes.
Toronto, OntarioAges 6 months–18 years - NCT06950697Recruiting
Blood clot risk prediction for lung cancer patients on immunotherapy
This study builds a tool to predict blood clot risk in lung cancer patients receiving immune checkpoint inhibitors. Researchers will use your data to develop a more personalized risk assessment, which may help prevent dangerous clots during treatment.
Zhengzhou, HenanAges 18 years+
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Common questions
- Are there clinical trials for prediction model?
- Yes. Clin2 currently lists 172 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.