Clinical trials
Prediction Model clinical trials
Below are recruiting prediction model clinical trials, each written for real people, not researchers. We’re tracking 162 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06791421Recruiting
Using AI to Predict Genes from Health Records
This study is testing an AI tool that uses your health records—like medical history, lab tests, and scans—to predict your genetic information. You may be eligible if you have complete health records and agree to let researchers use your data for this prediction analysis.
Guangzhou, GuangdongAges Any age - NCT06380049Recruiting
Predicting fall risk after stroke with sensors and AI
This study uses special sensors and machine learning to predict fall risk in people who recently had a stroke. It aims to help you and your care team take steps to prevent falls.
Seoul, JongnoAges 19 years+ - NCT06791473Recruiting
AI cancer diagnosis study using electronic health records
This study uses artificial intelligence to analyze electronic health records (including medical history, lab results, and imaging data) to improve cancer diagnosis and prediction. It aims to help identify cancer earlier and more accurately, potentially leading to better treatment outcomes.
Guangzhou, GuangdongAges birth–90 years - NCT05866575Recruiting
Brain-modeling trial to predict depression treatment response
This trial uses computer modeling based on brain measurements to try to predict which depression treatment will work for you. It may help match you with the most effective option faster by understanding your motivation-related brain patterns.
La Tronche, IsèreAges 18 years+ - NCT07098884Recruiting
Using smartphone photos and AI to diagnose lung nodules
This trial uses photos of lung nodule tissue taken with a smartphone and analyzes them with artificial intelligence to improve diagnosis and predict outcomes. It may help people who are scheduled for lung surgery based on CT scans.
Hefei, AnhuiAges 20–75 - NCT05795842Recruiting
Detecting atrial fibrillation after stroke using a wrist monitor
This study checks whether a special wrist device can detect an irregular heartbeat (atrial fibrillation) in people who recently had a stroke with an unclear cause. It may help doctors find the cause earlier and tailor follow-up care.
Atlanta, GeorgiaAges 55 years+ - NCT06773832Recruiting
AI to help doctors find polyps during colonoscopy
This trial uses artificial intelligence to help doctors better identify and classify polyps during a routine colonoscopy. It may lead to more accurate detection and fewer missed abnormalities.
BeijingAges 18 years+ - 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+ - NCT07795450Recruiting
Computer model study for ICU patients
This study uses a computer model to analyze health data from ICU patients to help predict outcomes. It aims to improve care for critically ill patients.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07366541Recruiting
Predicting oxygen therapy failure using a monitoring device
This study tests a monitoring device to predict if a patient with low oxygen levels will need a breathing tube within 72 hours. It aims to help doctors decide earlier if a patient needs more intensive support.
Shanghai, Shanghai MunicipalityAges 18 years+ - NCT07399236Recruiting
AI prediction of liver spread in colorectal cancer
This study looks at whether an AI tool can predict if colorectal cancer will spread to the liver. The researchers will review past medical records of patients who had surgery to remove their cancer and had no signs of spread at that time.
Wuhan, HubeiAges 18–75 - NCT06791382Recruiting
AI infection risk study for hospital patients
This study uses an artificial intelligence system to analyze electronic health records and predict which hospital patients might develop an infection. If you join, your health data will be used to train the AI, which could help prevent infections in the future.
Wenzhou, ZhejiangAges birth–90 years - NCT06791343Recruiting
Early diagnosis of pregnancy and newborn health issues
This study looks at health data from pregnant women to find patterns that could help predict and catch health problems in mothers and babies early. It might offer better monitoring and care during and after pregnancy.
Guangzhou, GuangdongAges 18–45 - NCT05404321Recruiting
Collecting tumor samples to study triple-negative breast cancer treatments
This study collects tumor tissue from people with early-stage triple-negative breast cancer before they start neoadjuvant chemotherapy. The goal is to help researchers test new therapies and look for markers that may predict who benefits.
CaenAges 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 - NCT05479617Recruiting
Predicting ulcerative colitis flare course using personal data
This study tries to better predict how an ulcerative colitis flare will progress by using a mix of your medical information. If you are eligible, your flare details may help researchers build tools that guide future care.
Hvidovre, DenmarkAges 18 years+ - NCT06586320Enrolling by invitation
Eye movement test for Parkinson's and Essential tremor
This study uses a simple eye movement test to see if it can help tell the difference between Parkinson's disease, Essential tremor, and healthy people. The goal is to find a better way to diagnose and track these conditions.
Manchester, New HampshireAges 18 years+ - NCT07124754Recruiting
Predicting lymph node spread in early stomach cancer
This study tests if artificial intelligence can predict whether early-stage stomach cancer has spread to lymph nodes. It also evaluates how well doctors assess the cancer. If the technology works, it could help guide treatment decisions.
Shijiazhuang, None SelectedAges 18 years+
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Common questions
- Are there clinical trials for prediction model?
- Yes. Clin2 currently lists 162 recruiting prediction model 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 model 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 model 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.