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
- NCT07073976Recruiting
Predicting success of coming off the breathing machine using heart ultrasound
This study uses an ultrasound of the heart (echocardiogram) to check how well the right side of your heart is working. The goal is to see if that can help predict whether you will successfully come off the breathing machine.
Istanbul, IstanbulAges 18 years+ - NCT07070011Recruiting
Studying tiny particles in blood to predict treatment response in lung cancer
This trial looks at small particles called extracellular vesicles in your blood to see if they can help predict how well immunotherapy combined with chemotherapy will work for extensive-stage small cell lung cancer. The goal is to find markers that could guide future treatment decisions.
ShanghaiAges 45–80 - NCT07072858Recruiting
Heart MRI to Predict Recovery After Heart Attack
This study is testing if a special heart MRI taken within a week of a STEMI heart attack can help doctors predict your recovery and future risks. It may help tailor your follow-up care.
BeijingAges 18–80 - 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+ - NCT07063069Recruiting
Using ultrasound to prevent nausea after abdominal surgery
This study uses a quick ultrasound of your stomach to predict if you will feel sick or vomit after major abdominal surgery. It helps doctors give you the right medicine to prevent nausea.
AngersAges 18 years+ - NCT07057544Recruiting
New ECG method to predict CRT benefit in heart failure
This trial tests a new way to use an ECG (electrical heart recording) to predict who will benefit from a special pacemaker called cardiac resynchronization therapy (CRT). It is for people with heart failure and a specific heart rhythm problem.
Prague, Česká RepublikaAges 18 years+ - NCT07057102Recruiting
Gene testing to predict lung cancer treatment response and monitor recurrence
This trial uses advanced gene sequencing technology on blood and tumor tissue samples from people with non-small cell lung cancer. The goal is to see if this testing can help doctors better predict which treatments will work and detect if the cancer comes back early.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07055152Recruiting
Eye scan to understand heart attack risk in MINOCA patients
This study uses a special eye scan (OCTA) to look at tiny blood vessels in the eye and see if they can help predict outcomes for people who had a heart attack without blocked arteries (MINOCA). It compares these patients to others with typical heart attacks and healthy people.
Pisa, PisaAges Any age - NCT07063901Recruiting
Predicting esophageal cancer treatment response with AI and imaging
This trial uses artificial intelligence to analyze CT scans and predict how well esophageal cancer responds to chemotherapy combined with immunotherapy before surgery. The goal is to help doctors personalize treatment for better outcomes.
Changsha, HunanAges Any age - NCT07061548Recruiting
Predicting heart output changes during surgery using capnography
This trial uses a computer algorithm to predict changes in how well your heart pumps blood during surgery. It looks at carbon dioxide levels in your breath to make these predictions. This could help doctors adjust care in real time.
SeoulAges 19–75 - NCT07062380Recruiting
AI tool to predict liver cancer return after surgery
This study uses an AI tool to predict how liver cancer might come back after surgery. It is for people with early-stage liver cancer who are already scheduled for surgery and have recent MRI scans.
Wuhan, HubeiAges 18–75 - NCT07059936Recruiting
AI and scans to predict immunotherapy response in liver cancer
This study uses artificial intelligence (AI) to analyze your CT or MRI scans and help predict how well immunotherapy might work for your liver cancer. The goal is to find better ways to match you with the right treatment and improve your outcomes.
Wuhan, HubeiAges 18 years+ - NCT07055984Recruiting
Predicting diabetes after kidney transplant using microRNA
This study looks at tiny molecules called microRNAs to predict if new diabetes might develop after a kidney transplant. By measuring these molecules in your blood, researchers hope to catch early signs and improve care.
MartinAges 18 years+ - NCT07059923Recruiting
Predicting immunotherapy response in lung cancer with AI and radiology
This study uses artificial intelligence and CT scan analysis to predict how well lung cancer patients will respond to immunotherapy. It may help doctors choose the best treatment for you.
Wuhan, HubeiAges 18 years+ - NCT07057765Recruiting
Blood markers for predicting DLBCL treatment response
This study looks at how certain blood tests (like CRP, albumin, and their ratios) might help predict how well treatment works for newly diagnosed DLBCL. If you are getting R-CHOP, this trial could help doctors better understand your response to therapy.
Cairo, Cairo GovernorateAges 18–65 - NCT07051083Recruiting
Bladder cancer staging trial using AI on imaging scans
This trial uses artificial intelligence to look at ultrasound and other scans to better stage bladder cancer and predict if chemotherapy before surgery might work. It may help doctors plan your treatment more precisely.
Guangzhou, GuangdongAges Any age - NCT07051772Recruiting
Predicting success in back pain rehab
This study looks for factors that help people with long-term low back pain succeed in rehabilitation programs. Researchers will track participants during their rehab to learn what works best.
Clermont-Ferrand, AuvergneAges 18–65 - NCT07046858Recruiting
Blood markers to predict trauma complications
This study looks at two simple blood test markers (PLR and PNR) to see how well they predict hidden injuries in trauma patients. If you've had a recent injury and your blood is tested in the ER, you may be able to join.
Thrissur, KeralaAges 12 years+ - NCT07047937Enrolling by invitation
Machine learning to predict early gastric cancer
This study uses machine learning to find patterns in patient data that might help predict early-stage stomach cancer. It could help doctors catch the disease sooner.
Wenzhou, ZhejiangAges Any age - NCT06802003Recruiting
Predicting COPD flare-ups with wearable devices
This study tests whether a wearable device and a smartphone app can predict when your COPD will flare up. It uses AI to spot early warning signs, so you might get help sooner.
Montreal, QuebecAges 40 years+ - NCT07036874Recruiting
Predicting outcomes in liver cancer with non-invasive tests
This study uses non-invasive tests, like scans or blood tests, to predict how well people with liver cancer (hepatocellular carcinoma, or HCC) will do after curative treatment. It may help doctors better understand your condition without needing invasive procedures.
Hong KongAges 18 years+ - NCT07039552Recruiting
Ovarian cancer risk check for family members
This study looks at family members of people with ovarian cancer to build a better tool for predicting their risk. If you have a BRCA1 or BRCA2 gene mutation, you may be able to join.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07035535Enrolling by invitation
Using genetic tests to predict antibiotic resistance in lung infections
This trial looks at whether a special genetic test (tNGS) can predict which antibiotics will work for bacteria causing lung infections. It may help doctors choose the right treatment faster.
Nanjing, JiangsuAges 18 years+ - NCT07034664Recruiting
Ultrasound to predict Guselkumab response in Crohn's disease
This trial tests if a medication called Guselkumab can help people with moderate to severe Crohn's disease. It uses a special ultrasound to see how the bowel responds to treatment.
Changsha, HunanAges 18–80
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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.