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
- NCT07393412Recruiting
Heart and vessel disease study for Korean patients at Samsung Medical Center
This study looks at people who have visited Samsung Medical Center for heart or blood vessel problems. It aims to find what factors affect their health over time, which could help doctors predict and prevent future issues.
SeoulAges Any age - NCT07396259Recruiting
PD-L1 test in blood to predict immunotherapy success
This trial is monitoring changes in a cancer protein called PD-L1 in head and neck cancer patients before and during immunotherapy treatment. It aims to better understand how well immunotherapy will work by using regular blood tests.
Taoyuan, CityAges 18 years+ - NCT07384611Recruiting
Predicting difficult airway in children before surgery
This study looks at ways to predict if putting a breathing tube in a child's windpipe during planned surgery will be difficult. It aims to help doctors prepare better and keep children safe.
AnkaraAges 1 day–12 years - NCT07388108Recruiting
Predicting heart rhythm problems after heart surgery
This trial studies whether measuring how the upper chambers of the heart work together can help predict dangerous heart rhythms after heart surgery. If you are in normal heart rhythm and not having mitral valve surgery, this study may help doctors better prevent complications.
Mendoza, MendozzAges 18–80 - NCT07388771Recruiting
Predicting treatment results for lung cancer before surgery
This trial is testing a treatment given before surgery for non-small cell lung cancer. Patients receive chemotherapy plus immunotherapy (chemo-immunotherapy) first, then have surgery to remove the tumor. The goal is to see how well this approach works.
Wuhan, HubeiAges 18 years+ - NCT06815952Recruiting
Better way to predict difficult breathing tube placement
This study is testing a new way to predict whether placing a breathing tube will be difficult during surgery. It combines different measurements to help doctors plan safer anesthesia for you.
BeirutAges 18 years+ - NCT07373951Enrolling by invitation
Predicting cancer gene status from MRI scans in brain metastasis
This trial uses brain MRI scans and deep learning to predict whether non-small cell lung cancer that has spread to the brain has certain gene changes (EGFR or ALK). Knowing this may help guide treatment without needing additional tissue testing.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07375602Recruiting
AI tool to predict complications after VSD closure in children
This study uses artificial intelligence to predict complications in children who have had a specific type of hole in the heart (called a perimembranous ventricular septal defect) repaired with a catheter-based procedure. The goal is to help doctors better identify which children might have problems after the procedure.
Shanghai, Shanghai MunicipalityAges Up to 18 years - NCT07378683Recruiting
Predicting infection risk after brain or spinal tumor surgery
This study is building a tool to predict the risk of surgical site infection after brain or spinal tumor surgery. It may help you understand your personal infection risk before your procedure.
Beijing, PUMCAges Any age - NCT07379554Recruiting
Infection Risk Prediction After Transplant
This study is for people who have had a stem cell or solid organ transplant. It aims to predict who might get a serious infection and help doctors manage their care better.
Pavia, LombardyAges Any age - NCT06841653Recruiting
AI model to predict risk and improve treatment for endometrial cancer
This trial is testing whether a computer model powered by artificial intelligence can better predict outcomes for people with endometrial cancer or related conditions. It uses patient data and tissue samples to see if the model can help doctors choose the best care.
RomeAges 18 years+ - NCT06842940Recruiting
Predicting best lead placement during pacemaker or ICD surgery
This study tests whether a measurement called 'slew rate' can help doctors find the best spot to attach the leads (wires) from a pacemaker or ICD to your heart. It may lead to more stable and effective placement during your procedure.
FidenzaAges 18–100 - NCT06675539Recruiting
Testing a tool to predict alcohol withdrawal severity in French speakers
This study tests a French version of a questionnaire (PAWSS) that helps doctors predict how severe alcohol withdrawal might be. It is for people aged 18 to 60 who are dependent on alcohol and planning a supervised detox or being hospitalized for another reason.
ÉtampesAges 18–60 - 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 - NCT07367789Recruiting
Predicting recovery after knee replacement using smart insoles
This study uses special insoles to measure how you walk before and after a knee replacement. The goal is to see if these measurements can help predict how well you will recover after surgery.
Yongin-si, Gyeonggi-doAges 19 years+ - NCT07370597Recruiting
Using scans to predict PSMA therapy response in prostate cancer
This study is testing whether a special scan (dosimetry) can help predict how well PSMA radioligand therapy works for men with advanced prostate cancer that has spread. The therapy uses a radioactive drug to target and kill cancer cells that have a protein called PSMA.
BrusselsAges Any age - NCT07370103Recruiting
Predicting low blood pressure in liver disease patients after anesthesia
This study uses an ultrasound to measure blood flow in the neck's main artery to see if it can predict a dangerous drop in blood pressure after you are put to sleep for surgery. It is for adult patients with chronic liver disease who are having planned surgery.
CairoAges 18 years+ - NCT05479617Recruiting
Predicting ulcerative colitis flare course using personal data
This study tries to better predict how an ulcerative colitis flare will progress by using a mix of your medical information. If you are eligible, your flare details may help researchers build tools that guide future care.
Hvidovre, DenmarkAges 18 years+ - NCT07357571Recruiting
Can ultrasound help predict lymph node spread in early thyroid cancer?
This trial uses contrast-enhanced ultrasound before surgery to see if it can predict whether cancer has spread to lymph nodes in patients with early-stage papillary thyroid cancer. The goal is to improve treatment planning without unnecessary surgery.
Guangdong, GuangzhouAges Any age - NCT07354295Recruiting
Using AI to predict treatment response in esophageal cancer
This trial uses a combination of imaging and clinical data to see if a computer model can predict how well your treatment will work. It aims to help doctors better understand your cancer risk and choose the best treatment plan for you.
Wuhan, Other (Non U.s.)Ages Any age - NCT06784778Recruiting
Testing a blood test to predict immunotherapy response
This study is testing a new blood test called IOpener®-Melanoma to see if it can predict which patients with advanced melanoma will respond well to immunotherapy. The goal is to better match treatments to people who will benefit most.
Tübingen, Baden-WurttembergAges 18 years+ - NCT06852703Recruiting
Studying how pregnancy inflammation affects baby brain development
This study looks for biological markers in the mother's blood that might predict how exposure to inflammation during pregnancy could change a baby's brain development. The goal is to understand these effects in healthy pregnancies and those with certain inflammatory conditions.
Pisa, PIAges 18–40 - NCT06505980Recruiting
Parent training for child behavior concerns
This trial tests a brief telehealth program to help parents manage their child's challenging behaviors. It may help if your child has elevated behavior issues and you can participate online.
Aurora, ColoradoAges 3–5 - NCT07349901Recruiting
Predicting hospital readmission after surgery using smart devices
This trial uses a smartwatch and smart ring to collect health data after elective surgery. The goal is to see if these sensors can help predict who might need to return to the hospital, so doctors can provide better follow-up care.
Manaus, AmazonasAges 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.