Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,124 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06814054Recruiting
Predicting low blood pressure after anesthesia in older patients
This study uses ultrasound measurements of the carotid artery and vena cava to predict if older patients might experience low blood pressure after going under general anesthesia for elective surgery. If successful, it could help doctors take preventive steps.
Tanta, El GharbyiaAges 65 years+ - NCT05978024Recruiting
Predicting how sarcoma responds and side effects from limb radiotherapy
This study collects information to predict how soft tissue sarcoma in an arm or leg will respond to radiotherapy and what side effects may happen. It may help doctors improve planning and follow-up for people like you.
CambridgeAges 16 years+ - NCT06935422Recruiting
Blood flow differences in twin pregnancy complications
This study looks at whether a difference in blood flow measurements between the two babies (called the cerebroplacental ratio) at 16-20 weeks can help predict complications in twin pregnancies where the babies share a placenta. It may help doctors identify which twins need extra monitoring.
CairoAges Any age - NCT05678907Recruiting
Test whether a depression questionnaire predicts relapse after discharge
This study checks whether your answers on a depression questionnaire can predict the chance of depression coming back after you leave the hospital. If it works, it may help doctors spot relapse risk earlier and plan follow-up care.
La Roche-BlancheAges 18 years+ - NCT06908980Recruiting
Predicting survival after gallbladder removal for infected gallbladder
This study is testing a tool to predict survival after gallbladder removal for people with acute cholecystitis caused by gallstones. By joining, you help doctors better assess risk and improve care for future patients.
Pavia, PaviaAges 18 years+ - NCT03744819Recruiting
Blood and tissue tests to predict how tumors respond to radiation
This study looks at tumor tissue and/or blood “biomarkers” to help predict whether a solid tumor will respond well to radiation therapy. It may help doctors choose more effective treatments in the future, and it may guide your care during radiotherapy if you qualify.
Shantou, GuangdongAges Any age - NCT06839443Recruiting
AI to detect hydroxychloroquine eye damage
This study uses artificial intelligence to look at eye images of people who have taken hydroxychloroquine for a long time. The goal is to better detect or predict early signs of retinal damage, so you can get the right care sooner.
PortugalAges 18–100 - NCT06833762Recruiting
Predicting improvement after TAVI using exercise tests
This trial looks at whether a simple exercise test (called CPET) can help predict how much your heart function will improve after TAVI, a procedure to replace a narrowed heart valve. If you're scheduled for TAVI through your leg artery and are 18 or older, you might be able to join.
BarcelonaAges 18 years+ - NCT06810349Recruiting
Using AI to find cancer origin from lymph node biopsy
This study uses computer intelligence (deep learning) to analyze cells from a lymph node biopsy to find where in the body a cancer might have started. It looks at past patient data and images to train a program that could help doctors in the future.
Chengdu, SichuanAges Any age - NCT07559123Recruiting
Imaging to predict who benefits from chemoimmunotherapy before lung cancer surgery
This study uses CT scan images to help doctors predict which patients with resectable lung cancer will benefit most from receiving chemoimmunotherapy (a combination of chemotherapy and immunotherapy) before surgery. The goal is to personalize treatment planning and improve outcomes.
SeoulAges 18 years+ - NCT06776874Recruiting
Predicting risks after an ERCP procedure
This observational study looks at patients who need an ERCP (a scope procedure for the bile ducts, liver, or pancreas). The goal is to create a score that can predict side effects after the procedure, which may help doctors better manage care.
BolognaAges 18 years+ - NCT06714747Recruiting
Soft tissue prediction for jaw surgery
This trial tests a new way to predict how facial soft tissues will change after jaw surgery using advanced imaging. It may help people needing orthognathic surgery to understand the likely aesthetic outcome.
Bologna, Emilia-RomagnaAges 18 years+ - NCT06697691Recruiting
Predicting rebleeding risk after upper gut bleeding
This study aims to create a tool that helps doctors predict if a patient with upper gut bleeding (not from veins) will rebleed while still in the hospital. It uses information from your hospital stay to better understand your risk and improve care.
Wuhan, HubeiAges 18 years+ - NCT07424391Recruiting
Predicting polyp types during colonoscopy
This trial uses a digital tool to help doctors predict polyp types during a colonoscopy, avoiding unnecessary removal and speeding up results.
Charenton-le-Pont, Val de MarneAges 18 years+ - NCT07350265Recruiting
Testing a lung surgery technique to reduce air leaks
This study tests a special ventilation method during lung surgery to see if it can predict air leaks after the procedure. If successful, it could help patients recover more smoothly after a lobectomy or segmentectomy.
AntonyAges 18 years+ - NCT06671184Recruiting
Predicting difficult thyroid surgery for less scarring
This trial looks at a tool doctors can use to predict if a certain type of thyroid surgery (through the mouth or under the chin) will be challenging. It helps people who want less visible scarring after their thyroid cancer surgery.
Shanghai, Shanghai MunicipalityAges Any age - NCT06627686Recruiting
Predicting successful breathing tube removal in brain injury patients
This study tests if simple breathing tests can predict whether a patient with a traumatic brain injury will successfully breathe on their own after a breathing tube is removed. The goal is to make the removal process safer.
Tanta, MahalaAges 18–65 - NCT07735078Recruiting
Smart balance and thinking exercise for older adults
This study tests a smart digital tool that combines balance and thinking exercises to help older adults stay steady and prevent falls. If you are 55+ and can walk a short distance, you may be able to join.
Taipei, TaipeiAges 55 years+ - NCT06582381Recruiting
Searching for blood markers that show how your body uses food
This study looks for markers in your blood that can predict how your body uses food. You will eat special meals and provide blood samples over about 13 hours, which may help better understand how different foods affect metabolism.
College Station, TexasAges 50–75 - NCT06563167Recruiting
Predicting air leaks after lung needle biopsy
This study is testing a way to predict serious air leaks (pneumothorax) after a lung needle biopsy. The goal is to find patterns that could help doctors know who might need a chest tube.
Hong KongAges 18 years+ - NCT06791382Recruiting
AI infection risk study for hospital patients
This study uses an artificial intelligence system to analyze electronic health records and predict which hospital patients might develop an infection. If you join, your health data will be used to train the AI, which could help prevent infections in the future.
Wenzhou, ZhejiangAges birth–90 years - NCT05144152Recruiting
Testing M3 and FIT to predict polyp return in colon exams
This study checks how well two lab tests (M3 and FIT) can predict whether advanced colon polyps (adenomas) will come back. If you’ve had adenomas found on a prior colonoscopy, these results may help plan future surveillance.
Shatin, New TerritoriesAges 18 years+ - NCT02647177Recruiting
Blood and cyst fluid study for pancreatic cyst conditions
This study looks for “biomarkers,” or measurable lab signals, in blood and (when available) cyst fluid to understand pancreatic cyst problems and related conditions. It may help doctors better predict what these conditions are and how to manage them.
Houston, TexasAges 18–100 - NCT06496555Recruiting
Predicting kidney injury in ICU patients
This study tests a tool called U-AKIpredTM to see if it can predict whether a critically ill patient will develop acute kidney injury within the first 12 hours in the ICU. If you are in the ICU and have not had kidney problems before, this trial may help improve your care.
Hangzhou, ZhejiangAges 18 years+
Hear when a new Prediction 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 prediction?
- Yes. Clin2 currently lists 1,124 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.