Clinical trials
Predictive Model clinical trials
Below are recruiting predictive 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
- 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+ - 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+ - NCT06507189Recruiting
How exercise affects older adults: a study
This study looks at how different older adults respond to exercise. It will help researchers understand why some people benefit more than others. You will be asked to do supervised exercise sessions and tests over about 6 months.
Pensacola, FloridaAges 60 years+ - NCT06452173Enrolling by invitation
Risk prediction for stroke in carotid artery narrowing
This study uses MRI scans to build a risk prediction model for stroke and other cerebrovascular events in people with carotid artery stenosis (narrowing of the neck arteries). By participating, you help doctors better understand who is at highest risk, which may lead to more personalized treatment.
Beijing, Beijing MunicipalityAges Any age - NCT06450964Enrolling by invitation
Studying Mitochondrial Disease to Improve Genetic Counseling
This study aims to learn more about mitochondrial DNA diseases by building a group of people with these conditions. The information gathered may help doctors give better genetic counseling to families.
Hefei, AnhuiAges Any age - NCT06207084Recruiting
Home exercise program for people with physical disabilities
This study tests a home-based exercise program for people with permanent physical disabilities that limit mobility. The goal is to see if coaching and training sessions can help you become more active and improve your health.
Birmingham, AlabamaAges 18–89 - 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 - NCT06092450Recruiting
Using AI scans to predict bladder cancer treatment results
This trial uses an artificial intelligence model to analyze CT scans taken before bladder removal surgery. The goal is to see if the AI can predict outcomes for patients with muscle-invasive bladder cancer.
Chongqing, Chongqing MunicipalityAges Any age - NCT07505394Recruiting
Preventing impulse control side effects from Parkinson's medication
This study tests a computer-based tool that aims to predict and prevent impulse control disorders (like compulsive gambling or shopping) caused by certain Parkinson's medications. If you take a dopamine agonist, this tool might help your doctor adjust your treatment to avoid these side effects.
ParisAges 18 years+ - 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 - 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 - NCT06372054Recruiting
Predicting health risks for Italian Air Force members
This study aims to develop smart risk models using your body's data (like proteins and genes) along with personal exposure readings. It will help predict health risks for Italian Air Force personnel. You will wear a monitor and give samples, then be followed over time.
MilanAges 26–38 - NCT06391892RecruitingPhase 3
Liquid biopsy guided treatment for early pancreatic cancer
This trial uses a liquid biopsy (a simple blood test that looks for cancer DNA) to decide whether you should have chemotherapy before surgery or go straight to surgery. It is for people with pancreatic cancer that has not spread beyond the pancreas.
Linz, Upper AustriaAges 18–99 - NCT07678112Recruiting
Trial of a device to keep rheumatoid arthritis in remission
This trial tests a medical device to help people with rheumatoid arthritis stay in remission while on biologic therapy. The goal is to see if the device can prevent flares and maintain disease control.
A Coruña, A CoruñaAges 18 years+ - NCT07579052Recruiting
Predicting When Severely Ill COPD Patients Can Stop Breathing Machines
This study tests a prediction tool called CLEAR to help doctors know when patients with severe COPD lung disease are ready to stop using breathing machines (ventilators) in the ICU. The tool may help doctors make faster, safer decisions about when patients can breathe on their own.
Asyut, Assuit EgyptAges 40 years+ - NCT07539532Recruiting
AI model to predict heart problems after stomach surgery
This study compares a new artificial intelligence tool with traditional methods to predict which patients might have heart-related complications after gastrointestinal surgery. The goal is to find better ways to identify high-risk patients and potentially improve their care.
Hà NộiAges 16 years+ - NCT07527715Recruiting
Heart MRI Study for Dilated Heart Muscle Disease
This research uses cardiac MRI scans and patient data to better predict outcomes in people with dilated cardiomyopathy—a condition where the heart's main pumping chamber becomes enlarged and weakened. Participating could help doctors improve how they care for similar patients in the future.
Jinan, ShandongAges 18 years+ - NCT07447999Recruiting
Using AI to predict sleep apnea severity
This trial tests whether a special computer model can predict sleep apnea severity using a stethoscope and a fingertip oxygen sensor, instead of a full sleep test. It might help people get faster and easier sleep apnea diagnosis.
New Taipei CityAges 30–75 - NCT06831357Recruiting
Predicting Cancer Spread in Nasopharyngeal Cancer Using AI
This trial uses a deep learning computer model to look at tissue images and MRI scans to predict whether nasopharyngeal carcinoma may spread to other parts of the body. It may help doctors decide on the best treatment for people with certain stages of this cancer.
Guangzhou, GuangdongAges Any age - NCT05876598Recruiting
Predict bloodstream infection risk using a computer model
This study builds and tests a computer (machine-learning) model to predict bloodstream infections based on what happens in the first days of care. It may help doctors start the right antibiotic faster for patients who truly have an infection.
RomeAges 18 years+ - NCT06751498Recruiting
Predicting kidney function after partial nephrectomy with AI
This trial uses a special computer model to predict how well your kidneys will work after surgery to remove part of a kidney (partial nephrectomy). It may help doctors plan better care for people with early-stage kidney tumors.
Nanjing, JiangsuAges 18–80 - NCT07134244Recruiting
Predicting cartilage damage and pain after knee injury or early arthritis
This study uses computer models and MRI scans to predict how knee cartilage and pain may change over time in people with early osteoarthritis or a recent ACL tear. It aims to find better ways to manage these conditions and prevent long-term damage.
Aalborg, North DenmarkAges 18–70 - NCT07118813Recruiting
AI predicts kidney cancer surgery outcomes
This trial uses artificial intelligence to read CT scans and predict how well kidney cancer patients will do after surgery. It aims to help doctors plan better treatment for you.
Wuhan, HubeiAges 18 years+ - NCT07096219Enrolling by invitation
Catheter Ablation for Leaky Mitral Valve in Persistent Atrial Fibrillation
This trial tests if catheter ablation—a procedure to fix heart rhythm—can help people with a leaky mitral valve that is caused by atrial fibrillation (functional mitral regurgitation). If you have persistent atrial fibrillation and moderate leaky valve, you may benefit from this treatment.
Guangzhou, GuangdongAges 18–75
Hear when a new Predictive Model trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.
Common questions
- Are there clinical trials for predictive model?
- Yes. Clin2 currently lists 162 recruiting predictive 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 predictive 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 predictive 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.