Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,120 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT05017311RecruitingPhase 4
Testing a depression medication plan using symptom predictions
This Phase 4 study tests an “optimized” medication approach for adults with major depressive disorder (unipolar depression) based on how you respond over time. It may help your care team choose treatments more effectively and reduce trial-and-error.
Calgary, AlbertaAges 18–65 - NCT05028686Recruiting
Using blood tests and AI to predict heart failure readmissions
This study looks at hospital and emergency patients with heart failure and uses “omics” (advanced lab data from the body) plus statistics and artificial intelligence to predict who is likely to return to the hospital soon. If it works, it could help doctors better plan follow-up care to reduce repeat hospital visits.
Toronto, OntarioAges 18–105 - NCT05035511Recruiting
Predicting tDCS results in autistic teens with machine learning
This study uses machine learning to predict how well a teen with autism may respond to tDCS, a non-invasive brain stimulation. It mainly looks at personal factors (like understanding instructions and baseline abilities) to better estimate treatment outcomes.
Hung Hom, KowloonAges 12–22 - NCT05050617Recruiting
Ultrasound in the ER to predict risks in pulmonary embolism
This trial checks whether a bedside ultrasound done in the emergency room can help predict which people with an acute pulmonary embolism are more likely to have bad outcomes. If you qualify, your care team will compare ultrasound findings with your later results to see if it can guide treatment decisions sooner.
York, PennsylvaniaAges 18 years+ - NCT05049538Recruiting
Liquid blood tests to predict endometrial cancer return
This trial studies whether blood “liquid biopsies” and tumor genetic testing can help predict whether endometrial cancer will come back after treatment. Results may help doctors plan follow-up and additional care based on a person’s recurrence risk.
Houston, TexasAges 18 years+ - NCT05056701Recruiting
Checking early care for kidney disease after pre-eclampsia
This study looks at how to predict and diagnose chronic kidney disease (long-term kidney damage) in people who had pre-eclampsia during pregnancy, including related serious conditions. It may help identify kidney problems earlier so care can start sooner.
AngersAges 18 years+ - NCT05084352Recruiting
Monitoring vital signs to predict recovery after head injury
This study checks vital signs (like heart rate and breathing) in the first hours after a traumatic brain injury to predict whether neurological function may decline. It may help doctors spot patients at higher risk sooner and adjust care earlier.
Baltimore, MarylandAges 18–79 - NCT05108376Recruiting
Predictive monitoring for high-risk hospital patients
This trial tests a new way to closely watch high-risk adults in the hospital and help the care team act sooner if a patient seems to be getting worse. It aims to see if the monitoring system works well and how it affects early clinical decisions.
Ottawa, OntarioAges 18 years+ - NCT05117723Recruiting
IPMN cyst database to help predict pancreatic cancer risk
This study collects information from people who have an IPMN cyst in the pancreas to help predict who may be at higher risk of pancreatic cancer. It may help your care team estimate risk and plan follow-up more effectively.
Fitzroy, VictoriaAges 18–90 - NCT05140746Recruiting
Predicting how well chemotherapy works before stomach surgery
This study looks for ways to predict whether neoadjuvant chemotherapy (chemo given before surgery) will work well in people with locally advanced stomach cancer. It may help doctors choose the best treatment plan sooner based on your test results.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT05140889Recruiting
AI helps predict asthma severity in children
This trial studies an AI (computer) model that uses CT scan images plus health and blood/clinical information to predict how severe asthma is in children. It may help doctors better understand your child’s asthma severity and tailor care.
PaviaAges 6–17 - NCT05186623Recruiting
Personalized prediction for ulcerative colitis treatment response
This study builds a prediction model to estimate how people with ulcerative colitis may respond to certain medicines. It may help doctors choose the most effective treatment sooner.
SeoulAges 18–79 - NCT05187819Recruiting
Blood test to help diagnose possible Alzheimer’s
This trial checks whether a simple blood test can help doctors diagnose Alzheimer’s in people who seem to have memory problems. If you’re being evaluated for possible dementia, your doctor may refer you to a memory clinic for testing and follow-up.
StavangerAges 40–100 - NCT05188183Recruiting
Remote brain stimulation plus hand training for phantom limb pain
This trial tests whether remote brain stimulation (tDCS) combined with sensory (hand/limb) training can reduce phantom limb pain. It also uses computer prediction (“machine learning”) to estimate who is most likely to benefit.
Cambridge, MassachusettsAges 18 years+ - NCT05192499Recruiting
Study gut-and-lung bacteria in very young children with asthma
This study looks at whether differences in the body’s bacteria (in the gut and/or airways) can help predict which toddlers with asthma may develop a more severe form. It may help doctors identify children at higher risk earlier so they can be monitored more closely.
Brest, FinistèreAges 1–3 - NCT05204186Recruiting
AI Tool to Predict Health Outcomes After Bladder Removal Surgery
This study tests an artificial intelligence tool designed to predict how patients will recover after bladder cancer surgery. The AI analyzes existing medical information to help doctors better understand which patients might face complications based on their other health conditions.
Amiens, PicardieAges 18 years+ - NCT05237063Recruiting
Predicting kidney stone recurrence and complications using precision medicine
This study looks for better ways to predict when kidney stones may come back and what complications might happen. It may help doctors personalize follow-up and prevention plans based on information collected from you.
AmiensAges 18 years+ - NCT05262543Recruiting
Study predicts risk of RBD turning into Parkinson’s
This study looks at people diagnosed with idiopathic REM sleep behavior disorder (a sleep problem where you act out dreams) and tries to predict who may later develop another condition related to Parkinson’s. If you qualify and consent, you may be followed to understand risk factors and improve early identification.
Oggebbio, VerbaniaAges 18 years+ - NCT05270733RecruitingPhase 4
Predicting psoriasis response using advanced skin-cell testing
This study looks at skin cells at the single-cell level to predict which psoriasis treatments will work best for you. It may help doctors personalize treatment choices for plaque psoriasis.
Cleveland, OhioAges 18–89 - NCT05295407Recruiting
Testing a risk assessment to predict prostate cancer on biopsy
This trial studies whether a risk assessment can better predict who actually has prostate cancer based on information collected around the biopsy. It may help doctors decide what biopsy findings mean for people with certain PSA (a blood test) results.
Evanston, IllinoisAges 40–69 - NCT05296720Recruiting
EEG study of touch prediction in people with schizophrenia
This study uses a special brain test (EEG) while you do a touch-related task to see how your brain predicts what comes next. It may help researchers understand brain and behavior differences in schizophrenia and how sensory processing works.
StrasbourgAges 18–60 - NCT05298722Recruiting
MRI and blood tests to predict if pancreatic surgery is possible
This study looks at MRI scans, computer-extracted imaging features, and blood/“liquid biopsy” tests after FOLFIRINOX chemotherapy to predict whether surgery can fully remove pancreatic cancer. It may help your care team choose the best next step—whether surgery is likely to be possible and how to plan it.
Ghent, East FlandersAges 18 years+ - NCT05318196Recruiting
Predict kidney disease risk and progression from patient data
This trial looks at ways to predict how kidney disease may develop, change, or cause complications using information from patients. It may help doctors identify people at higher risk and tailor care earlier.
ToulouseAges 18–99 - NCT05321459Recruiting
Testing outcome prediction in comatose patients after cardiac arrest
This study looks at tests that may help predict outcomes in people who remain in a coma 3 to 7 days after surviving a cardiac arrest. It may help doctors better estimate recovery and guide care decisions.
BobignyAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,120 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.