Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,131 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07051772Recruiting
Predicting success in back pain rehab
This study looks for factors that help people with long-term low back pain succeed in rehabilitation programs. Researchers will track participants during their rehab to learn what works best.
Clermont-Ferrand, AuvergneAges 18–65 - NCT07055152Recruiting
Eye scan to understand heart attack risk in MINOCA patients
This study uses a special eye scan (OCTA) to look at tiny blood vessels in the eye and see if they can help predict outcomes for people who had a heart attack without blocked arteries (MINOCA). It compares these patients to others with typical heart attacks and healthy people.
Pisa, PisaAges Any age - NCT07055984Recruiting
Predicting diabetes after kidney transplant using microRNA
This study looks at tiny molecules called microRNAs to predict if new diabetes might develop after a kidney transplant. By measuring these molecules in your blood, researchers hope to catch early signs and improve care.
MartinAges 18 years+ - NCT07057102Recruiting
Gene testing to predict lung cancer treatment response and monitor recurrence
This trial uses advanced gene sequencing technology on blood and tumor tissue samples from people with non-small cell lung cancer. The goal is to see if this testing can help doctors better predict which treatments will work and detect if the cancer comes back early.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07057544Recruiting
New ECG method to predict CRT benefit in heart failure
This trial tests a new way to use an ECG (electrical heart recording) to predict who will benefit from a special pacemaker called cardiac resynchronization therapy (CRT). It is for people with heart failure and a specific heart rhythm problem.
Prague, Česká RepublikaAges 18 years+ - NCT07057765Recruiting
Blood markers for predicting DLBCL treatment response
This study looks at how certain blood tests (like CRP, albumin, and their ratios) might help predict how well treatment works for newly diagnosed DLBCL. If you are getting R-CHOP, this trial could help doctors better understand your response to therapy.
Cairo, Cairo GovernorateAges 18–65 - NCT07059936Recruiting
AI and scans to predict immunotherapy response in liver cancer
This study uses artificial intelligence (AI) to analyze your CT or MRI scans and help predict how well immunotherapy might work for your liver cancer. The goal is to find better ways to match you with the right treatment and improve your outcomes.
Wuhan, HubeiAges 18 years+ - NCT07059923Recruiting
Predicting immunotherapy response in lung cancer with AI and radiology
This study uses artificial intelligence and CT scan analysis to predict how well lung cancer patients will respond to immunotherapy. It may help doctors choose the best treatment for you.
Wuhan, HubeiAges 18 years+ - NCT07069595RecruitingPhase 2
Blood test for breast cancer survivors at risk of recurrence
This trial uses a simple blood test to look for leftover cancer DNA in people with triple-negative breast cancer who still have disease after chemotherapy and surgery. It aims to catch any early signs of the cancer coming back.
Chapel Hill, North CarolinaAges 18 years+ - NCT07069842Recruiting
Gastric cancer immunotherapy prediction model
This study looks at markers in your tumor to predict how well immunotherapy might work for you. It aims to create a model that helps doctors choose the best treatment for advanced gastric cancer.
Changzhi, ShanxiAges 18–75 - NCT07070011Recruiting
Studying tiny particles in blood to predict treatment response in lung cancer
This trial looks at small particles called extracellular vesicles in your blood to see if they can help predict how well immunotherapy combined with chemotherapy will work for extensive-stage small cell lung cancer. The goal is to find markers that could guide future treatment decisions.
ShanghaiAges 45–80 - NCT07070128Recruiting
AI screening tool for breast cancer genetic risk
This trial tests an AI tool that predicts genetic risk for breast cancer. It may help women identified as high-risk by their breast surgeon get quicker genetic counseling.
Golania, GoiásAges Any age - NCT07070648Recruiting
Predicting DLBCL treatment response with ctDNA and PET scans
This trial uses a blood test (ctDNA) and PET scans to predict how well standard first-line treatment works for diffuse large B-cell lymphoma (DLBCL). It aims to find out if these tests can guide better care.
Shanghai, Shanghai MunicipalityAges 18 years+ - NCT07072858Recruiting
Heart MRI to Predict Recovery After Heart Attack
This study is testing if a special heart MRI taken within a week of a STEMI heart attack can help doctors predict your recovery and future risks. It may help tailor your follow-up care.
BeijingAges 18–80 - NCT07084610RecruitingPhase 2
Metabolic markers predict response to immunotherapy before lung cancer surgery
This trial tests whether certain markers in your blood or tissue can predict how well immunotherapy works before surgery for early-stage lung cancer. It aims to find out who benefits most from this treatment.
Ribeirão Preto, São PauloAges 18 years+ - NCT07084883Recruiting
AI system for early AMD detection
This trial tests an AI system designed to catch early signs of late age-related macular degeneration (AMD) before it's diagnosed. It's for people who haven't yet been diagnosed with AMD or treated for retinal disease.
Richmond Hill, New YorkAges 50 years+ - NCT07085351Recruiting
Brain activity study for opioid use disorder
This study uses brain wave recordings (EEG) to understand opioid use disorder and find better ways to diagnose and treat it. You may join if you have opioid use disorder or are a healthy volunteer.
Chicago, IllinoisAges 22–85 - NCT07088354Recruiting
AI model predicts treatment response in esophageal cancer
This trial tests whether an artificial intelligence (AI) model can accurately predict if esophageal cancer will completely disappear after chemotherapy combined with immunotherapy before surgery. If successful, it could help doctors decide the best treatment plan for patients.
Wuhan, HubeiAges 18 years+ - NCT07089095Recruiting
Choosing rehab after a stroke: your preferences matter
This study looks at what matters to you when choosing rehabilitation care after a recent stroke. By joining, you can help doctors understand how to better support people like you in recovery.
TaipeiAges 18 years+ - NCT07089524Recruiting
Comparing two blood tests for sepsis in ICUs
This study compares two blood test measurements (neutrophil/lymphocyte ratio and lactate/albumin ratio) to see which better predicts how severe an infection is in ICU patients with sepsis. It aims to find a simpler way to track inflammation.
Cairo, AbbassiaAges 18–80 - NCT07093294Recruiting
Predicting vedolizumab success with ultrasound in early Crohn's
This study uses intestinal ultrasound to see if vedolizumab can heal the gut in people recently diagnosed with Crohn's disease. It aims to find early signs that the treatment is working.
Changsha, HunanAges 18–80 - NCT07104214Recruiting
Predicting stomach retention risk before sedated endoscopy
This study is building a tool to predict if a patient's stomach will empty normally before a sedated upper endoscopy (gastroscopy). It tests risk factors that help doctors plan safer procedures.
Hangzhou, ZhejiangAges 18 years+ - NCT07106294Recruiting
Using light imaging to predict preeclampsia risk
This study tests whether a special camera (hyperspectral imaging) can predict preeclampsia, a serious pregnancy condition, by taking pictures during a routine ultrasound. It may help doctors spot risks earlier.
HeidelbergAges 18 years+ - NCT07108660Recruiting
Predicting and reducing bloodstream infections from central lines
This trial uses machine learning to predict infections that can happen with central lines (special IVs placed in large veins) and aims to reduce how often they occur. It focuses on hospitals with the highest infection rates, so you might be eligible if you receive care at one of these hospitals.
Anchorage, AlaskaAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,131 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.