Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,117 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT04843371Recruiting
Using wearable data to predict heart pump strength
This trial tests whether a wearable device (Biostrap) can help predict how strongly your heart pumps, using echocardiogram (heart ultrasound) results. It may help doctors better estimate heart function from simpler measurements.
New Orleans, LouisianaAges 18–120 - NCT04846933Recruiting
Testing extra scans and data to guide ovarian cancer treatment
This trial collects information from people with suspected ovarian cancer and uses it to improve diagnosis and help predict which treatments may work. It may also look for targeted options, based on scan and medical data results.
TurkuAges 18 years+ - NCT04847752Recruiting
Predicting outcomes after stroke from artery plaque
This study looks at factors that can help predict recovery and risk after an ischemic stroke caused by plaque buildup in a major artery. It may help doctors better forecast prognosis and tailor follow-up care for people like you.
WuhanAges Up to 80 years - NCT04865250RecruitingPhase 2
Atezolizumab plus chemo before surgery for lung cancer
This trial looks at adding atezolizumab to chemotherapy before surgery for resectable, non-squamous non-small cell lung cancer. It also tries to predict which patients will respond best using your tumor tissue.
Heidelberg, BaWüAges 18 years+ - NCT04873258Recruiting
Test a non-invasive tool to screen for fat-related liver disease
This study looks at a new non-invasive screening method to predict metabolic dysfunction–associated steatotic liver disease (MASLD), a condition where fat builds up in the liver. The goal is to help identify people who may be at risk without needing invasive tests.
London, LondonAges 18–80 - NCT04904146Recruiting
Testing blood or tumor markers in skin lymphoma patients
This study looks for “predictive” and “prognostic” biomarkers—measurable signs in blood or tissue—to help predict how mycosis fungoides or Sézary syndrome will behave and how patients may respond to care. It may help doctors better understand outcomes for people with these skin lymphomas.
LundAges 18–100 - NCT04913727Recruiting
Testing heart scan predictions after mitral valve repair
This trial studies severe secondary mitral valve leaking and uses heart imaging to predict how well the heart and symptoms improve after a less-invasive valve procedure. It may help doctors better forecast who benefits most from this repair.
BernAges 18 years+ - NCT04913311Recruiting
Testing markers to predict lung inflammation after lung cancer treatment
This study looks for early “predictive markers” to tell who is most likely to develop lung inflammation after standard treatment for non-small cell lung cancer. It may help clinicians spot problems sooner and tailor care, using additional monitoring during treatment.
Houston, TexasAges Any age - NCT04916132Recruiting
Diabetic kidney damage study using urine tests and biopsy
This study looks at how common diabetic kidney damage is in people with type 2 diabetes, and which factors can predict it. If you qualify, you may be asked to have a kidney biopsy to understand what’s happening inside your kidneys.
Skejby, AarhusAges 18–120 - NCT06476067Recruiting
Predicting early esophageal cancer return after surgery
This trial uses stored tumor tissue to try to predict if esophageal cancer will come back early after surgery. It is for people who had surgery only (no chemo or radiation) and have been followed for at least 2 years.
Nagoya, Aichi-kenAges 20 years+ - NCT06490003Recruiting
Predicting chemotherapy success for esophageal cancer
This trial looks at whether a biopsy taken before chemotherapy can help predict how well the treatment will work for people with esophageal squamous cell carcinoma. It aims to improve future treatment decisions.
Chūō, YamanashiAges 20 years+ - NCT02043457Recruiting
Study factors that predict long-term weight loss success
This study looks for traits (like health measurements or medical factors) that can help predict who will successfully lose weight and keep it off. It may help researchers personalize weight-loss plans in the future.
Ann Arbor, MichiganAges 15–75 - NCT04935853Recruiting
Study of markers that predict bile duct cancer treatment response
This study looks at lab markers (including genetic tests) to predict how people with bile duct cancer respond to treatment. Your answers and samples may help doctors personalize care for bile duct cancer in the future.
AmiensAges 18 years+ - NCT04974593RecruitingPhase 3
Test breath testing to guide a lactose-free diet in IBS
This trial studies whether a breath test (hydrogen/methane lactose testing) can predict who with IBS will improve on a lactose-free diet. If you have moderate-to-severe IBS and regularly eat lactose-containing foods, the test result may help tailor your diet approach.
Jette, Brussels CapitalAges 18–75 - NCT04986748Recruiting
Using a test to choose treatment for sarcoma or melanoma
This study uses QPOP to predict which treatment may work best for people with sarcoma or melanoma. It mainly needs tumor samples from a new biopsy or surgery so researchers can run the test and compare results to treatment choices.
SingaporeAges 21–99 - 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+ - NCT04996628Recruiting
Testing nerve pain signals to guide treatment for chronic pancreatitis pain
This study checks how your nerves respond to controlled touch and temperature tests, to help predict how well you’ll respond to procedures that relieve blockage in the main pancreatic duct. It may help doctors choose the most effective treatment for chronic pancreatitis pain.
Indianapolis, IndianaAges 18 years+ - NCT05014802Recruiting
MRI scans before heart surgery to predict post-surgery atrial fibrillation
This study uses an MRI scan before heart surgery to look for heart scarring that may predict who will develop atrial fibrillation afterward. Knowing the risk ahead of time could help doctors monitor you more closely and plan prevention.
Covington, LouisianaAges 40–120 - 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+
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 1,117 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.