Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,080 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT04827316Recruiting
Use CT heart scans to predict outcomes and guide care
This study looks at people who are having a CT scan of their heart because it’s medically needed. Researchers will use the scan results to better predict future cardiovascular outcomes and improve how care decisions are made.
BernAges 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 - 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+ - NCT06681844Recruiting
Predicting tooth wear from knocked-out teeth
This study will look at teeth that have been knocked out to find out if the amount of wear on the tooth can help predict how much more wear might happen. If you have a tooth like this, it might help researchers understand tooth wear better.
Indianapolis, IndianaAges 18–80 - 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+ - 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+ - NCT07521111Recruiting
Stomach Blood Flow and Feeding Tolerance in Critical Illness
This study examines whether measuring blood flow in the stomach using ultrasound can predict which hospitalized patients will struggle to tolerate tube feeding. Researchers hope this simple test might help doctors adjust feeding plans earlier and improve patient outcomes.
ShanghaiAges 18 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 - NCT07475052Enrolling by invitation
Heart rate monitoring to predict biologic therapy response in IBD
This study tests whether a wearable heart rate monitor can help predict how well biologic medications work for people with Crohn's disease or ulcerative colitis. If you are starting infliximab or vedolizumab for the first time, you may be eligible.
Xi'an, ShaanxiAges 18–75 - NCT07457840Enrolling by invitation
AI predictions for clinician decisions
This trial tests how well doctors and nurses use AI predictions to help make decisions. You'll answer a few clinical cases online.
San Francisco, CaliforniaAges 18 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+ - 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 - NCT07392567Recruiting
AI predicts liver spread in colorectal cancer
This study tests whether an artificial intelligence (AI) model can predict if colon or rectal cancer will spread to the liver. You will have a CT scan before surgery, and the AI will analyze the scan to see if it can forecast future liver metastasis.
Wuhan, HubeiAges 18–75 - NCT04866472Recruiting
GlideRite vs other tube tool for hard airway intubation
This study compares two medical tools used to place a breathing tube through the mouth when intubation is expected to be difficult. It aims to find which tool is safer and works better for people with higher risk of a “hard airway.”
Louisville, KentuckyAges 18 years+ - 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+ - NCT06849193Recruiting
Predicting treatment outcomes in advanced bile duct cancer
This study looks at how well current chemotherapy and immunotherapy work for advanced bile duct or gallbladder cancers that cannot be removed by surgery. Researchers will collect data from multiple centers to build a model that helps predict how patients may respond to treatment.
Nanjing, JiangsuAges 18 years+ - NCT07301307Recruiting
Blood pressure and fluid management during surgery
This trial tests a new tool that helps doctors manage fluids and blood pressure during surgery. It uses a special index (HPI) and computer-assisted fluid management to keep your blood pressure stable, which may reduce complications.
Athens, AtticaAges 18 years+ - NCT07288346Recruiting
Predicting success of double-balloon endoscopy
This trial uses a CT scan to predict how well a special endoscope can reach the entire small intestine. It may help doctors plan your procedure and improve results.
Dezhou, ShandongAges 18–80 - 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 - 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 - NCT07217197Enrolling by invitation
A monitor to detect breathing problems after surgery
This trial tests a new respiratory monitoring system to see if it can detect and predict opioid-induced respiratory depression (OIRD) — when pain medicines slow your breathing too much — in patients recovering from surgery. The monitor uses a face mask, nasal cannula, and small sensors to track breathing continuously, so that doctors can step in early if there is a problem.
Philadelphia, PennsylvaniaAges 18 years+ - NCT06791447Recruiting
AI predicts dialysis outcomes using health records
This study uses artificial intelligence to analyze electronic health records and predict how well dialysis is working. If you've been on dialysis for at least 3 months, your data could help improve future care.
Beijing, Beijing MunicipalityAges 20–100 - NCT07179705Recruiting
Predicting low blood pressure during dialysis in the ICU
This trial tests if a special tool can predict and prevent dangerous drops in blood pressure during dialysis in ICU patients with kidney problems. It might help make dialysis safer and more comfortable.
BangkokAges 18 years+ - NCT07161375Recruiting
Using heat camera to predict nerve block success in child hernia surgery
This study tests if a special heat-sensing camera can predict whether a nerve block will work for children having hernia surgery. If successful, this could help doctors know right away if the block is effective.
CairoAges 3 months–6 years
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,080 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.