Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,131 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06391892RecruitingPhase 3
Liquid biopsy guided treatment for early pancreatic cancer
This trial uses a liquid biopsy (a simple blood test that looks for cancer DNA) to decide whether you should have chemotherapy before surgery or go straight to surgery. It is for people with pancreatic cancer that has not spread beyond the pancreas.
Linz, Upper AustriaAges 18–99 - NCT06395636Recruiting
Fitbit to detect infections after children's appendix surgery
This trial uses a Fitbit wearable to see if it can help detect infections early in children recovering from surgery for complicated appendicitis. It aims to improve recovery and catch problems sooner.
Chicago, IllinoisAges 3–18 - NCT06397833Recruiting
Monitoring heart pressure after heart failure hospitalization
This study is testing a new wearable device (Acorai ICPM) that measures pressure inside your heart. The goal is to see if it can help predict how well you will do after being discharged from the hospital for heart failure.
Uxbridge, MiddlesexAges 18 years+ - NCT06399666Recruiting
Inflammation markers and genes in atrial fibrillation prediction
This trial looks at whether certain blood markers and genetic information can help predict atrial fibrillation (irregular heartbeat). It studies how inflammation might play a role, and aims to find better ways to identify people at risk.
Jönköping, SmålandAges 18 years+ - NCT06408116RecruitingPhase 2
FAPI-PET Scan for Esophageal Cancer Surgery Planning
This trial tests whether a special PET scan called FAPI-PET can better show the edges of esophageal tumors before surgery. It may help doctors plan more precise surgery.
HeidelbergAges 18 years+ - NCT06410690Recruiting
AI tool to predict high-risk coronary plaques from heart scans
This trial uses an artificial intelligence (AI) tool to analyze heart CT scans (CCTA) and identify dangerous plaque buildup that could lead to a heart attack. It aims to see if AI can better predict high-risk plaques in people with known or suspected coronary artery disease (CAD).
Milan, MilanAges 18 years+ - NCT06420427Recruiting
Blood test to predict cervical cancer return after surgery
This trial uses a simple blood test to look for cancer DNA (ctDNA) and HPV DNA after cervical cancer surgery. The goal is to detect any return of the cancer early, so you and your doctor can act quickly.
Guangzhou, GuangdongAges 18 years+ - NCT06421142Recruiting
FAPI and FDG scans for bladder cancer
This trial is testing if two types of PET/MRI scans (one using FAPI tracer, another using FDG tracer) are better at finding and evaluating muscle-invasive bladder cancer. It may help doctors decide the best treatment for you.
Fuzhou, FujianAges 18–80 - NCT06426953Recruiting
Proteins in blood to predict confusion after surgery in older diabetics
This study looks at proteins in your blood (TGF-β and INS-PI3K-AKT) to see if they can predict confusion after surgery (postoperative delirium) in older adults with diabetes. It may help doctors identify who is at higher risk.
Duyun, GuizhouAges 65 years+ - NCT06427265Recruiting
Recovery after ICU: a long-term study
This study follows people after they leave the ICU to see how they recover over time. It uses computer programs to find patterns and create early warning tools to help doctors spot problems sooner.
Guiyang, GuizhouAges 18–100 - NCT06430398Recruiting
AI Study for Early Preeclampsia Prediction in Pregnancy
This study tests a new artificial intelligence (AI) method that uses multiple types of biological data to predict preeclampsia (a serious pregnancy complication involving high blood pressure) much earlier. It is for women who were once considered high risk for preeclampsia but later found to be low risk, to see if the AI can help detect it even sooner.
Pieve Emanuele, MilanAges 18 years+ - NCT06448897Recruiting
AI model to predict lymph node spread in cervical cancer
This study uses artificial intelligence to analyze your preoperative MRI and pathology results to better predict if cervical cancer has spread to pelvic lymph nodes. The goal is to improve future treatment decisions for patients with cervical cancer.
Shanghai, Shanghai MunicipalityAges 18–80 - NCT06451393Recruiting
AI predicts stomach cancer response to chemo
This trial tests a computer-based model that uses CT scans, endoscopic images, and biopsy tissue to predict how well stomach cancer will respond to chemotherapy given before surgery. The goal is to help doctors choose the best treatment for each patient.
Guangzhou, GuangdongAges 20–90 - NCT06451887Recruiting
Predicting brain swelling after stroke treatment
This study looks at how to predict dangerous brain swelling after endovascular treatment for large artery stroke. It uses CT scans to identify patients at risk, which could help doctors monitor and treat them more closely.
Hangzhou, ZhejiangAges 18–80 - NCT06452732Recruiting
Leukemia stem cell test for AML relapse in children
This study uses a special blood test (flow cytometry) to look for leukemia stem cells in your blood and bone marrow. The goal is to see if these cells can help predict if leukemia will come back after treatment, which might lead to better care for children and teens with AML.
Beijing, Beijing MunicipalityAges Up to 18 years - NCT06453720Recruiting
Predicting Crohn's treatment success with gut bacteria
This study analyzes your gut bacteria to see if it can predict how well you will respond to Crohn's disease treatments. If you are having a colonoscopy for routine care, you may be eligible.
Vancouver, British ColumbiaAges 19–80 - NCT06454591Recruiting
Using fast MRI to understand brain injury recovery
This study uses a quick MRI scan to check brain function and predict recovery after a traumatic brain injury. It may help researchers develop better ways to assess and treat TBI patients.
Calgary, AlbertaAges 18 years+ - NCT06455332Recruiting
Optic nerve test to predict MS after first symptoms
This study looks at how early damage to the optic nerve (the nerve that connects your eye to your brain) might predict future multiple sclerosis (MS) in people who have just had their first neurological symptoms (called a clinically isolated syndrome). You will have an MRI of your eyes and a special eye scan to see if these tests can help doctors know who is more likely to develop MS.
LilleAges 18–55 - NCT06457945Recruiting
Mind-wandering and daydreaming in narcolepsy and hypersomnia
This study looks at whether people with narcolepsy or idiopathic hypersomnia have different patterns of daydreaming and mind-wandering compared to others with sleepiness but no clear diagnosis. It helps understand how certain brain states during sleep might affect waking thoughts.
LyonAges 18–65 - NCT06463756Recruiting
AI Predicts Thyroid Cartilage Invasion in Laryngeal Cancer
This study uses AI to analyze CT scans and predict if laryngeal cancer has spread to the thyroid cartilage. It may help doctors plan better treatment without needing extra invasive procedures.
ChongqingAges 18–81 - NCT06466811Recruiting
Predicting blockages in external ventricular drains
This study looks at whether brain scans can help predict when a ventricular drain (a small tube placed in the brain to drain fluid) might get blocked. If researchers can predict blockages, they might be able to prevent complications.
Nantes, Loire-AtlantiqueAges 18 years+ - NCT06467864Recruiting
Predicting lung infection outcomes using early bacteria tests
This trial tests a new way to predict how well patients with a ventilator-associated lung infection will respond to treatment. It uses two bronchoscopy samples to track bacteria levels and guide better care.
Nanjing, JiangsuAges 18 years+ - NCT06468124Recruiting
Testing treatments on mini tumors for breast cancer that has spread
This trial uses a special lab technique (called organoids) to grow a mini version of your tumor from a biopsy sample. Researchers will test different treatments on these mini-tumors to see which one might work best for you.
LondonAges 18 years+ - NCT06470698Recruiting
Using emotional awareness to predict treatment success in addiction
This trial tests whether tracking emotional awareness can help predict how well people recover from cocaine or alcohol addiction. It uses a mobile app to monitor feelings and progress.
HuelvaAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,131 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.