Clinical trials
Predictive Model clinical trials
Below are recruiting predictive 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
- NCT07611266Recruiting
Predicting colorectal adenoma recurrence using combined medicine approach
This study helps predict which patients with colorectal adenomas (pre-cancerous growths) are at higher risk of them coming back or turning into cancer. Researchers will use both Western medical tests and Traditional Chinese Medicine patterns to create a prediction tool that may guide your follow-up care.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07601282Recruiting
Predicting Incontinence Risk After Pelvic Floor Surgery
This study helps doctors predict which patients may develop urinary incontinence (leakage) after surgery to repair pelvic organ prolapse (when pelvic organs drop into the vaginal canal). By identifying risk factors early, doctors may be able to better prepare patients and prevent this complication.
Shanghai, Shanghai MunicipalityAges 20–90 - NCT07603128Recruiting
Testing a tool to predict antibiotic-resistant infections in ICU patients
This study validates a prediction tool designed to identify which ICU patients are at risk of developing multidrug-resistant gram-negative bacteria (a serious infection resistant to many antibiotics). The tool may help doctors start appropriate treatment earlier and improve patient outcomes.
Nanjing, JiangsuAges 18 years+ - NCT06720363Recruiting
Predicting baby's health during labor
This study uses information from a monitor that tracks your baby's heart rate during labor to see if we can better predict their well-being at birth. The goal is to improve care and ensure both you and your baby are safe.
Bologna, BolognaAges 18–45 - NCT07562100Recruiting
AI-Powered Exercise Program for Oral Cancer Patients Returning to Work
This study tests a smartphone-based exercise and wellness program designed to help people recently diagnosed with oral cancer prepare their body and mind before treatment, with the goal of helping them return to work faster and more safely. Researchers will track whether the program improves recovery and reduces healthcare costs.
TaipeiAges 20–70 - NCT07561814Recruiting
Predicting Pancreatic Cancer Treatment Outcomes Using Medical Images and Data
This study builds a computer model to predict how well pancreatic cancer patients will respond to surgery and what their long-term outcomes might be. Researchers use CT scans, blood tests, and medical records from patients who had pancreatic cancer surgery to teach the model to recognize patterns that help predict outcomes.
Shanghai, Shanghai MunicipalityAges 18 years+ - NCT07532538Recruiting
Machine learning tool to predict head and neck cancer risk
This study tests a computer program designed to help doctors predict which head and neck lesions (abnormal tissue growths) might be cancerous. Researchers will use your medical information and throat imaging to teach the program, which could help catch cancer earlier.
Nanjing, JiangsuAges 18–100 - NCT07483047Recruiting
Predicting memory changes after heart surgery in older adults
This study looks at older adults having heart surgery to find out who might have trouble thinking or remembering afterward. Researchers hope to build a tool to predict this risk so doctors can help sooner.
ShanghaiAges 65 years+ - NCT06776133Recruiting
Predicting heart pressure from vein size in children
This study looks at a possible link between the size of a large vein (the inferior vena cava) and the pressure in the right side of the heart in children. If the link is strong, doctors might one day use vein size to estimate heart pressure without more invasive tests.
Bologna, BolognaAges Up to 18 years - NCT03360838Recruiting
Prediction test for confusion after heart surgery in older adults
This study uses a short, self-answered thinking test before elective heart surgery to help predict who may develop confusion afterward. The goal is to improve early identification and care planning for patients at higher risk.
BaselAges 60 years+ - NCT07417800Recruiting
Predicting liver cancer treatment after surgery
This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.
Hangzhou, ZhejiangAges 18 years+ - NCT07375602Recruiting
AI tool to predict complications after VSD closure in children
This study uses artificial intelligence to predict complications in children who have had a specific type of hole in the heart (called a perimembranous ventricular septal defect) repaired with a catheter-based procedure. The goal is to help doctors better identify which children might have problems after the procedure.
Shanghai, Shanghai MunicipalityAges Up to 18 years - NCT07378683Recruiting
Predicting infection risk after brain or spinal tumor surgery
This study is building a tool to predict the risk of surgical site infection after brain or spinal tumor surgery. It may help you understand your personal infection risk before your procedure.
Beijing, PUMCAges Any age - NCT06841653Recruiting
AI model to predict risk and improve treatment for endometrial cancer
This trial is testing whether a computer model powered by artificial intelligence can better predict outcomes for people with endometrial cancer or related conditions. It uses patient data and tissue samples to see if the model can help doctors choose the best care.
RomeAges 18 years+ - NCT06859242Recruiting
Predicting contrast dye leakage risk
This study is building a tool to predict which patients might have leakage of the contrast dye used in scans. It could help prevent complications during imaging procedures.
Wuhan, HubeiAges Any age - NCT07335042Recruiting
Heart injury risk after major liver or bile duct surgery
This study looks at whether certain patients have heart muscle injury (called MINS) after major liver or bile duct surgery. If you are having this type of surgery, your doctors will check your heart with a special blood test before and after. The goal is to find out who is at risk and help prevent problems.
BeijingAges 18–85 - NCT06860945Recruiting
Predicting STIs in people on HIV PrEP in Spain
This study is for people in Spain who are starting or already taking PrEP pills to prevent HIV. It aims to create a tool that can help predict who might get a sexually transmitted infection while on PrEP, so doctors can offer better monitoring or prevention.
AlmeríaAges 16 years+ - NCT07307183Recruiting
Predicting foot ulcers risk in diabetes
This study is developing a tool to predict your risk of getting foot ulcers if you have diabetes. By analyzing medical records, the researchers hope to identify people who need extra prevention and care.
JonseredAges 18 years+ - NCT07314762Recruiting
Support for elderly patients before, during, and after surgery
This trial looks at how to better care for older adults (65+) who are having surgery. It aims to improve their experience and recovery during the time leading up to, during, and after their procedure.
Wenzhou, ZhejiangAges 65 years+ - NCT07305727Recruiting
Can MRI scans help predict chemo-radiation success in cervical cancer?
This trial uses MRI scans taken before treatment to see if they can predict how well chemo-radiation will work for locally advanced cervical cancer. It aims to help doctors know which patients might benefit most from this therapy.
Nîmes, GardAges 18 years+ - NCT07304323Recruiting
Predicting recovery after hip or knee replacement in 2018
This trial is for people who had hip or knee replacement surgery in 2018 at a specific hospital in Milan and then went to its rehabilitation unit. Researchers will use your medical records to build and test a tool that predicts recovery after joint replacement.
MilanAges 18 years+ - NCT07294274Recruiting
Predicting depression risk after a stroke
This study creates a tool to predict if someone might develop depression after an ischemic stroke. It aims to help doctors identify and support patients who are at higher risk.
ChongqingAges Any age - NCT07278232Recruiting
Voice test to predict difficult breathing tube placement
This study uses a simple voice recording to see if your voice can help predict whether placing a breathing tube during surgery might be more difficult. It aims to make anesthesia safer for you.
ShanghaiAges 15–70 - NCT07252986Recruiting
AI study of breast cancer that has spread
This study uses artificial intelligence to analyze tissue samples from breast cancer that has spread to distant organs, like the liver or lungs. The goal is to develop a tool that predicts how breast cancer might spread, helping doctors personalize treatment.
Hangzhou, ZhejiangAges Any age
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Common questions
- Are there clinical trials for predictive model?
- Yes. Clin2 currently lists 162 recruiting predictive 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 predictive 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 predictive 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.