Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,085 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07120672Recruiting
Breathing tube removal success study
This study tests if a new method (PPI) can better predict when a patient is ready to have their breathing tube removed after a trial of spontaneous breathing.
IstanbulAges 18 years+ - NCT07124741Recruiting
Can an ultrasound score predict survival in septic shock?
This study tests whether a special ultrasound score (VEXUS) can help doctors predict how well people with septic shock will do. It might help identify those who need more intensive treatment.
AntalyaAges 18 years+ - NCT07117227Recruiting
Study to test a kidney cancer prediction model
This study is checking how well a model can predict the outcomes for people with kidney cancer who have had surgery. It looks at your medical records after surgery to help doctors better understand your recovery and future risks.
Beijing, Beijing MunicipalityAges 18–80 - 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+ - NCT07124754Recruiting
Predicting lymph node spread in early stomach cancer
This study tests if artificial intelligence can predict whether early-stage stomach cancer has spread to lymph nodes. It also evaluates how well doctors assess the cancer. If the technology works, it could help guide treatment decisions.
Shijiazhuang, None SelectedAges 18 years+ - NCT07124676Recruiting
Comparing two systems for classifying second-degree vaginal tears after childbirth
This study looks at two different ways to classify second-degree tears that happen during a vaginal birth. The goal is to see which system better predicts problems after delivery, helping doctors provide the best care.
Naples, ItalyAges 18 years+ - NCT07112599Recruiting
AI predicts lymph node spread in high-risk prostate cancer
This study uses artificial intelligence to examine MRI and other health data to better predict if high-risk prostate cancer has spread to nearby lymph nodes. Researchers hope this will help guide treatment decisions.
Hefei, AnhuiAges 50 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+ - NCT07107243Recruiting
Using a new measurement to predict airway safety in tracheostomy patients
This trial tests if a new measurement called TTPEE can help doctors predict if the upper airway will stay open safely in people who have a tracheostomy and have recently been weaned off a ventilator.
Hunan, HunanAges 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+ - NCT07109856Recruiting
A new tool to predict infection in newborns
This study tests a simple non-invasive score that uses blood flow in muscles to predict if a newborn has or will develop high inflammation levels (C-reactive protein). It may help doctors start treatment earlier in babies with breathing problems.
Graz, StyriaAges birth–6 hours - NCT07109596Recruiting
Frailty prediction for older hospital patients
This study looks at how different factors—like health, mental well-being, and social support—work together to predict frailty in older adults. The goal is to better understand frailty in men and women, which may help doctors provide more personalized care.
RomaAges 56 years+ - NCT07107815Enrolling by invitation
Predicting rectal cancer treatment response using MRI
This study uses advanced MRI scanning and computer analysis to predict how well rectal cancer might respond to treatments given before surgery. It may help doctors choose the best approach for you.
Beijing, Beijing MunicipalityAges Any age - NCT07111273Recruiting
Predicting relapse in ulcerative colitis with early stool tests
This study looks at whether early stool tests (fecal immunochemical test and calprotectin) can predict when ulcerative colitis symptoms might return. It is for people who have never taken biologic medications.
Jinan, ShandongAges 18–75 - NCT05817747Recruiting
Using big data to predict outcomes after spine surgery
This study collects information from people having surgery for problems in the lower (lumbar) or neck (cervical) spine. It tests whether using “big data” from routine care can help predict surgical outcomes and improve future decisions.
Ängelholm, Skåne CountyAges 18 years+ - NCT06968520Recruiting
Metals and Mouth Sores in Head and Neck Radiation
This study is looking at how certain metals in the body might relate to mouth sores caused by radiation therapy. Researchers at Nanfang Hospital want to find out if these metals can help predict who will get mouth sores, so doctors can better prevent or treat them.
Guangzhou, GuangdongAges 18–75 - NCT06967532Recruiting
Using a virus to predict how well lung cancer treatment works
This study checks if a common virus (Torque Teno virus) can help predict how well immune checkpoint inhibitor therapy works for non-small cell lung cancer (NSCLC) and what happens after surgery. The goal is to find a better way to match treatment to patients.
ViennaAges 18 years+ - NCT06967285Recruiting
Prone positioning for ARDS: checking brain blood flow
This trial studies how lying on your stomach (prone positioning) affects blood flow in the brain during severe lung failure (ARDS). It aims to predict and prevent brain problems that might occur with this treatment.
Chengdu, SichuanAges 18 years+ - NCT07098884Recruiting
Using smartphone photos and AI to diagnose lung nodules
This trial uses photos of lung nodule tissue taken with a smartphone and analyzes them with artificial intelligence to improve diagnosis and predict outcomes. It may help people who are scheduled for lung surgery based on CT scans.
Hefei, AnhuiAges 20–75 - 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+ - 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 - NCT06670677Recruiting
Blood pressure monitoring for early heart risk awareness
This study is testing whether a blood pressure monitoring system called Aktiia can help people become aware of high blood pressure early and predict heart risks. It involves using a smartphone and a wrist bracelet (or just the phone's camera) to take blood pressure readings.
LausanneAges 21–85 - 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 - NCT06568536Recruiting
EEG Study to Predict Recovery After Brain Injury
This study uses a special EEG test to measure brain activity in people who are not fully conscious after a recent brain injury. The goal is to find better ways to know if someone will wake up and recover thinking abilities.
Boston, MassachusettsAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,085 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.