Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,118 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06389019Recruiting
Using AI to predict bladder cancer outcomes from scans and tissue
This study uses a computer program to analyze your CT scans and tumor tissue slides to better predict how your bladder cancer will behave. It may help doctors give you more personalized care.
Chongqing, Chongqing MunicipalityAges Any age - NCT06452550Recruiting
Can brain scans predict Crohn's disease progression?
This study uses brain MRI and psychological questionnaires alongside standard Crohn's tests to see if certain brain patterns predict how the disease will progress over six months or more.
ShanghaiAges 18–45 - NCT06515392Recruiting
Predicting stroke risk after a mini-stroke or clot stroke
This study looks at how well certain scores predict the risk of another mini-stroke, stroke, or death after a mini-stroke or certain type of stroke. If you qualify, you will help doctors better understand these risks.
Ankara, YenimahalleAges 18 years+ - NCT06526065Recruiting
Understanding lymphoma biology to improve treatment
This study looks at the biology of certain lymphomas to better understand why some people respond well to treatment and others don't. It involves giving a small additional blood or tissue sample to help researchers find genetic clues that could improve future care.
Göttingen, Lower SaxonyAges 18–85 - NCT06533254Recruiting
Study on behavioral AI to predict and increase peritoneal dialysis use
This trial uses behavioral AI to help predict and encourage use of peritoneal dialysis in patients with advanced chronic kidney disease (stages 4-5). It aims to understand what factors influence decision-making and improve access to this treatment option.
Dallas, TexasAges 18 years+ - NCT06558487Recruiting
Cancer Admission Score prediction model validation
This trial is studying a new tool to predict whether cancer patients will need to be admitted to the hospital when they come to the emergency department. It may help doctors make better decisions about your care.
Rotterdam, South HollandAges 18 years+ - NCT07690813Recruiting
AI model to predict nearsightedness with a non-dilated eye exam
This study uses an AI model to predict your nearsightedness prescription using a quick, non-dilated eye exam instead of the usual dilated exam. If you are between 18 and 60, have nearsightedness, and no major eye surgeries or conditions, you may be a good fit.
JiangxiAges 18–47 - NCT06976125Recruiting
Using a model to guide antibiotic choice for UTI after ER visit
This trial tests whether a prediction model can help doctors choose the right antibiotic for women with a urinary tract infection (UTI) after an emergency room visit. It aims to improve treatment and reduce unnecessary antibiotics.
Cleveland, OhioAges 18 years+ - NCT07097454Recruiting
Predicting low blood pressure after surgery in the recovery room
This trial tests a special monitoring tool that predicts when your blood pressure might drop after surgery. If you are having elective surgery under general anesthesia with an arterial line, this study could help prevent low blood pressure in the recovery room.
Iksan, JeollabukdoAges 19 years+ - NCT06727877Recruiting
Predicting bowel disease in premature babies using gut bacteria
This study looks at the gut bacteria of premature babies to see if changes can predict a serious bowel condition (ulcero-necrotizing enterocolitis). It aims to use artificial intelligence to help doctors catch it early.
Clermont-FerrandAges Up to 1 day - NCT06778317Recruiting
Blood test to predict liver cancer in cirrhosis patients
This trial tests if a simple blood test can help predict who with cirrhosis might develop liver cancer, so doctors can monitor and treat those patients earlier.
Vandœuvre-lès-NancyAges 18 years+ - NCT06791486Recruiting
AI predicts biological age from health records
This study uses artificial intelligence to estimate your 'biological age'—how well your body is aging compared to your actual age—by analyzing your electronic health records. The goal is to see if AI can spot aging patterns that might help personalize your care.
Guangzhou, GuangdongAges birth–100 years - NCT06806930RecruitingPhase 2
Predicting response to hormone therapy before breast cancer surgery
This trial tests whether we can predict how well hormone therapy works before surgery for early-stage breast cancer. It may help women with estrogen receptor-positive, HER2-negative or HER2-low breast cancer avoid or tailor treatments.
Washington D.C., District of ColumbiaAges 21 years+ - NCT06815159Recruiting
Tissue markers for early AV fistula narrowing
This study looks at tissue samples from people getting or fixing an AV fistula for dialysis. The goal is to find markers that might predict early narrowing (stenosis) of the fistula, so doctors can prevent problems in the future.
BolognaAges 18 years+ - NCT06899048Recruiting
Does a risk score predict muscle recovery after surgery?
This study looks at whether a simple risk score can predict how long it takes for muscles to fully recover after surgery. It may help doctors decide when it is safe to wake you up fully.
AsyutAges 18–65 - NCT07017842Recruiting
Predicting outcomes for hypospadias surgery
This study follows boys having their first surgery for hypospadias (where the pee hole is not at the tip of the penis) to find out what factors lead to the best results. The goal is to help doctors better predict who will have a smooth recovery.
Doha, Baladiyat ad DawhahAges 1–12 - NCT07037485Recruiting
Predicting kidney injury after open heart surgery
This trial tests if kidney ultrasound and urine oxygen levels can predict acute kidney injury after open heart surgery. It aims to help doctors catch kidney problems early.
Tanta, El-GharbiaAges 21 years+ - NCT07066891Recruiting
AI insulin dose prediction for type 2 diabetes
This study tests an artificial intelligence system that helps predict the right insulin dose for people with type 2 diabetes who are using an insulin pump in the hospital. The goal is to make blood sugar control safer and more accurate.
Guangzhou, GuangdongAges 18–75 - NCT07101770Recruiting
Predicting outcomes for pregnant women with aplastic anemia
This trial is testing a way to predict outcomes for pregnant women who have aplastic anemia, a condition where the bone marrow doesn't make enough blood cells. The goal is to help doctors and patients better manage the pregnancy and plan for the baby's delivery.
BeijingAges 20–50 - NCT07402668Recruiting
AI to help doctors predict preterm birth
This trial tests whether artificial intelligence (AI) helps doctors feel more confident when predicting preterm birth. You would use ultrasound images and get AI feedback to compare with standard care.
AabenraaAges Any age - NCT07376343Recruiting
Comparing CPAP pressure formulas vs lab titration for sleep apnea
This study compares two ways to set CPAP machine pressure for Thai people with obstructive sleep apnea: using a quick formula versus a full overnight lab test. It helps find the best pressure more easily.
Pathum ThaniAges 18 years+ - NCT07676851Recruiting
Predicting dementia risk in older adults with depression
This study looks at whether certain health factors can predict the risk of dementia in older adults who have depression. Your medical records will be reviewed to help create a risk score.
Nanchang, JiangxiAges 50 years+ - NCT07500532Recruiting
Testing an app for childhood asthma and ear/nose/throat issues
This study tests an app that helps doctors check kids with asthma or common ear/nose/throat problems. It’s for children who get care at the University of Arizona and have a device to run the app.
Tuscon, ArizonaAges 3–17 - NCT07571317Recruiting
Predicting breathing tube removal success in ICU patients
This study tests whether two simple breathing measurements can predict whether patients in the ICU are ready to have their breathing tube removed. If successful, it could help doctors make safer decisions about when patients can breathe on their own.
Istanbul, IstanbulAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,118 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.