Clinical trials
Prediction Model clinical trials
Below are recruiting prediction model clinical trials, each written for real people, not researchers. We’re tracking 174 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07333560Recruiting
Predicting recovery after hip or knee replacement
This study is developing a tool that uses machine learning to predict how well you will recover after hip or knee replacement surgery. It aims to help doctors create better recovery plans for people like you.
BolognaAges 18 years+ - NCT06558487Recruiting
Cancer Admission Score prediction model validation
This trial is studying a new tool to predict whether cancer patients will need to be admitted to the hospital when they come to the emergency department. It may help doctors make better decisions about your care.
Rotterdam, South HollandAges 18 years+ - NCT06597838Recruiting
Predicting kidney injury in hospitalized adults
This study is creating a tool to predict acute kidney injury (sudden kidney damage) in hospitalized adults. It uses routine blood tests to spot early warning signs, so doctors can act sooner.
Beijing, Beijing MunicipalityAges 18–100 - NCT07288346Recruiting
Predicting success of double-balloon endoscopy
This trial uses a CT scan to predict how well a special endoscope can reach the entire small intestine. It may help doctors plan your procedure and improve results.
Dezhou, ShandongAges 18–80 - NCT07101770Recruiting
Predicting outcomes for pregnant women with aplastic anemia
This trial is testing a way to predict outcomes for pregnant women who have aplastic anemia, a condition where the bone marrow doesn't make enough blood cells. The goal is to help doctors and patients better manage the pregnancy and plan for the baby's delivery.
BeijingAges 20–50 - NCT07066891Recruiting
AI insulin dose prediction for type 2 diabetes
This study tests an artificial intelligence system that helps predict the right insulin dose for people with type 2 diabetes who are using an insulin pump in the hospital. The goal is to make blood sugar control safer and more accurate.
Guangzhou, GuangdongAges 18–75 - NCT06978348Recruiting
AI model to predict stroke using ultrasound
This trial is building an AI tool to predict ischemic stroke risk based on carotid and vertebral artery ultrasound findings. It may help find early warning signs of a stroke before it happens.
Shanghai, Shanghai MunicipalityAges Any age - NCT07773818Recruiting
Improving early triple-negative breast cancer prediction
This study is part of a larger project collecting detailed genetic and other biological data from people with triple-negative breast cancer. The goal is to build better models to predict how the disease will progress and respond to treatment.
Beijing, Beijing MunicipalityAges 18–75 - NCT06849193Recruiting
Predicting treatment outcomes in advanced bile duct cancer
This study looks at how well current chemotherapy and immunotherapy work for advanced bile duct or gallbladder cancers that cannot be removed by surgery. Researchers will collect data from multiple centers to build a model that helps predict how patients may respond to treatment.
Nanjing, JiangsuAges 18 years+ - NCT06976125Recruiting
Using a model to guide antibiotic choice for UTI after ER visit
This trial tests whether a prediction model can help doctors choose the right antibiotic for women with a urinary tract infection (UTI) after an emergency room visit. It aims to improve treatment and reduce unnecessary antibiotics.
Cleveland, OhioAges 18 years+ - NCT07392567Recruiting
AI predicts liver spread in colorectal cancer
This study tests whether an artificial intelligence (AI) model can predict if colon or rectal cancer will spread to the liver. You will have a CT scan before surgery, and the AI will analyze the scan to see if it can forecast future liver metastasis.
Wuhan, HubeiAges 18–75 - NCT06364371Recruiting
Predicting rectal cancer treatment response using multi-omics
This trial is testing a new way to predict how well your rectal cancer will respond to treatments given before surgery. It uses advanced tests (like looking at genes and other markers) to tailor your care.
Guangzhou, GuangdongAges 18–80 - NCT04518761Recruiting
Predicting breathing relaxation using a nerve monitoring test
This trial is testing a prediction method during surgery to estimate how strongly a medicine is relaxing your breathing muscles, using a nerve monitoring signal. It may help anesthesiology teams adjust anesthesia more safely during general anesthesia for non-heart surgeries.
Jette, Brussels CapitalAges 18 years+ - NCT07690813Recruiting
AI model to predict nearsightedness with a non-dilated eye exam
This study uses an AI model to predict your nearsightedness prescription using a quick, non-dilated eye exam instead of the usual dilated exam. If you are between 18 and 60, have nearsightedness, and no major eye surgeries or conditions, you may be a good fit.
JiangxiAges 18–47 - NCT06202404Recruiting
Predicting cancer spread with a new imaging tool
This trial tests if a special imaging analysis can predict where your cancer might spread. It's for people with advanced lung, colorectal, or breast cancer who are starting or continuing treatment.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT07715617Recruiting
Creating a prediction score for lung transplant or death in Alpha-1 Antitrypsin Deficiency
This study is creating a simple scoring system to predict who with Alpha-1 Antitrypsin Deficiency-related emphysema might need a lung transplant or die from the disease. Your medical records from 2010–2025 will help build this tool, with no extra tests or visits required.
BronAges 18 years+ - NCT04185779Recruiting
Colorectal cancer screening colonoscopy study
This study looks at patterns of colorectal (colon and rectum) findings in people who are having a colonoscopy as part of routine care. It may help improve how doctors detect and understand colorectal cancer and related growths over time.
South Shields, Tyne and WearAges 18 years+ - NCT06513351Recruiting
Predicting postpartum bleeding after delivery
This trial tests a way to predict heavy bleeding after childbirth. It includes people having a vaginal or cesarean delivery and aims to help doctors prepare for and prevent complications.
Nashville, TennesseeAges Any age - NCT05738083Recruiting
Study builds prediction tools after aneurysm bleeding
This study looks at early test results and brain scans to predict outcomes after an aneurysm causes subarachnoid hemorrhage. It mainly collects information to build a risk prediction model, which may help doctors plan care more effectively in the future.
Nanchang, JiangxiAges 18 years+ - NCT06791447Recruiting
AI predicts dialysis outcomes using health records
This study uses artificial intelligence to analyze electronic health records and predict how well dialysis is working. If you've been on dialysis for at least 3 months, your data could help improve future care.
Beijing, Beijing MunicipalityAges 20–100 - NCT06452550Recruiting
Can brain scans predict Crohn's disease progression?
This study uses brain MRI and psychological questionnaires alongside standard Crohn's tests to see if certain brain patterns predict how the disease will progress over six months or more.
ShanghaiAges 18–45 - NCT06791486Recruiting
AI predicts biological age from health records
This study uses artificial intelligence to estimate your 'biological age'—how well your body is aging compared to your actual age—by analyzing your electronic health records. The goal is to see if AI can spot aging patterns that might help personalize your care.
Guangzhou, GuangdongAges birth–100 years - NCT07117227Recruiting
Study to test a kidney cancer prediction model
This study is checking how well a model can predict the outcomes for people with kidney cancer who have had surgery. It looks at your medical records after surgery to help doctors better understand your recovery and future risks.
Beijing, Beijing MunicipalityAges 18–80 - NCT06366828Recruiting
Predicting complications after esophageal cancer treatment
This study looks at past medical records of people with esophageal cancer who received chemotherapy and radiation before surgery. Researchers want to find better ways to predict who might have complications after surgery, so they can improve care for future patients.
Nijmegen, GelderlandAges 18–100
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Common questions
- Are there clinical trials for prediction model?
- Yes. Clin2 currently lists 174 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.