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
- NCT06828575Recruiting
Testing AI models on artery pressure readings
This study tests how well artificial intelligence can analyze artery pressure waveforms during surgery. If you're having scheduled surgery and already need this monitoring, your data might help improve patient care.
IstanbulAges 18 years+ - NCT06811519Recruiting
AI predicts heart function from ultrasound and body scans
This study uses artificial intelligence to predict how well your heart is pumping by looking at your heart ultrasound results and body composition (like body fat and muscle). The goal is to see if adding body composition data makes the AI predictions more accurate.
Yongin, Gyeonggi-doAges 20 years+ - NCT07345923Recruiting
Rectal swab test to predict resistant infections in ICU
This study looks at whether a simple rectal swab test can help predict the risk of developing infections that are resistant to common antibiotics. It focuses on patients in the intensive care unit (ICU) who have already had this swab done as part of their care.
StrasbourgAges 18 years+ - NCT07350343Enrolling by invitation
Comparing 3D-printed vs thermofit clear aligners
This study compares two ways of making clear plastic aligners to straighten teeth. It looks at whether directly 3D-printed aligners work better than ones made by pressing a plastic sheet over a 3D model. This could be for people with mild to moderate teeth alignment issues.
KarbalaAges 16–40 - NCT07344714Recruiting
Predicting breathing help needs for newborns in NICUs
This study looks at newborns in a lower-level NICU to see which ones will need extra breathing support. The goal is to better predict which babies can be kept at their current hospital instead of being moved.
Rochester, MinnesotaAges 7 months–9 months - NCT07350785Recruiting
Predicting outcomes after hip fracture using MDW
This trial checks if a blood test called MDW (monocyte distribution width) can help predict complications and recovery in older adults after a hip fracture.
Kifissia, AtticaAges 65 years+ - NCT07345377Enrolling by invitation
Personalized brain stimulation for irritable bowel syndrome
This study uses brain stimulation (TMS) customized for each person to treat IBS. It uses MRI scans to see how the brain responds, aiming to find better ways to predict who will benefit from this therapy.
Hangzhou, ZhejiangAges 18–75 - 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+ - NCT07345156Recruiting
Congestion and lactate at discharge in heart failure
This trial studies a simple test (lung ultrasound and a blood test for lactate) done right before you leave the hospital for heart failure. It aims to see if these tests help doctors know how well you are recovering and if you might need extra care after discharge.
Monastir, Monastir GovernorateAges 18 years+ - NCT07347691Recruiting
AI predicts atrial fibrillation after stroke of unknown cause
This trial uses an artificial intelligence (AI) program to see if it can predict which patients who had a stroke from an unknown cause might develop atrial fibrillation (an irregular heart rhythm). If you have a small heart monitor already implanted, the AI will analyze your ECGs to find early signs of AFib, which could help prevent future strokes.
AnsanAges 30 years+ - NCT07349277Recruiting
Predicting preeclampsia with blood tests in pregnancy
This study tests if certain blood markers can help diagnose and monitor preeclampsia. It aims to improve how this serious pregnancy condition is detected and treated.
Nasiriyah, Dhi QarAges 18–45 - NCT04130789Recruiting
Personalized study for ICU patients with possible sepsis
This study looks at ICU patients in Swiss university hospitals to understand how to personalize care for people who meet sepsis criteria. It may help doctors better predict who is getting worse and tailor treatment plans.
BaselAges 18 years+ - NCT06859242Recruiting
Predicting contrast dye leakage risk
This study is building a tool to predict which patients might have leakage of the contrast dye used in scans. It could help prevent complications during imaging procedures.
Wuhan, HubeiAges Any age - NCT04183426Recruiting
Check heart risk tests before planned AAA repair
This study uses a hand/eye pressure test (tonometry) and an ultrasound scan (duplex ultrasound) to see if they can predict future heart or blood vessel events in people with an abdominal aortic aneurysm (AAA) who are planning elective surgery. It may help doctors choose the safest follow-up and treatments for you after repair.
Nijmegen, GelderlandAges 18 years+ - NCT07339475Recruiting
Using vein size to predict blood pressure drops in older adults during hip or leg surgery
This study uses an ultrasound to measure the size of a vein in your leg before surgery to see if it can predict a drop in blood pressure during the procedure. If you are over 60 and having planned lower-limb surgery with spinal anesthesia, this non-invasive test might help your doctors prepare for your care.
CairoAges 60 years+ - NCT07340606Recruiting
AI predictions for root canal success in painful molars
This study tests whether an AI tool can help predict if a simpler root canal treatment (pulpotomy) will work for back teeth with adult, painful pulp infections. If successful, it may help avoid more complex procedures.
CairoAges 20–45 - NCT07335042Recruiting
Heart injury risk after major liver or bile duct surgery
This study looks at whether certain patients have heart muscle injury (called MINS) after major liver or bile duct surgery. If you are having this type of surgery, your doctors will check your heart with a special blood test before and after. The goal is to find out who is at risk and help prevent problems.
BeijingAges 18–85 - NCT06860945Recruiting
Predicting STIs in people on HIV PrEP in Spain
This study is for people in Spain who are starting or already taking PrEP pills to prevent HIV. It aims to create a tool that can help predict who might get a sexually transmitted infection while on PrEP, so doctors can offer better monitoring or prevention.
AlmeríaAges 16 years+ - NCT07327489Recruiting
Live tumor biopsy study to predict immunotherapy response
This trial studies how well immunotherapy might work by analyzing fresh tumor biopsies. It may help predict which treatments are best for your cancer.
Fort Smith, ArkansasAges 18 years+ - NCT07328945Recruiting
Personalized treatment for non-small cell lung cancer using a tumor model
This trial tests a new way to choose the best treatment for your lung cancer by creating a model of your tumor in the lab. It may help doctors find the most effective therapy for you.
Shanghai, Shanghai MunicipalityAges 18–80 - NCT07325175Recruiting
Brain study to improve treatment for childhood dystonia
This study measures brain signals in children with dystonia to understand how the brain controls movement, with the goal of improving treatments like Deep Brain Stimulation (DBS). It also uses healthy children for comparison.
Cincinnati, OhioAges 6–21 - NCT07327970Recruiting
AI test to predict breast cancer treatment response
This study tests whether an AI tool can predict how well breast cancer responds to chemotherapy given before surgery. Your tumor sample from a needle biopsy will be analyzed to see if the AI's prediction matches your actual treatment outcome.
IncheonAges 18 years+ - NCT04995068Recruiting
Predicting Brain Lesion Risk After Mild Head Injury
This trial studies how to predict who may develop small brain injuries seen on CT scans after a mild traumatic brain injury. It may help doctors decide who needs closer monitoring or follow-up imaging.
StockholmAges 15 years+ - NCT05876598Recruiting
Predict bloodstream infection risk using a computer model
This study builds and tests a computer (machine-learning) model to predict bloodstream infections based on what happens in the first days of care. It may help doctors start the right antibiotic faster for patients who truly have an infection.
RomeAges 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.