Clinical trials
Predictive Model clinical trials
Below are recruiting predictive model clinical trials, each written for real people, not researchers. We’re tracking 172 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07702708Recruiting
AI predicts chemotherapy response in HR+/HER2- breast cancer
This trial uses AI to analyze your pre-treatment MRI and predict how well your tumor will respond to chemotherapy before surgery. It is for people with HR+/HER2- breast cancer who need chemo before their operation.
Fuzhou, FujianAges 18 years+ - NCT06957678Enrolling by invitation
AI predicts lymph node spread in stomach cancer using scans and biopsy
This study uses artificial intelligence to predict whether stomach cancer has spread to nearby lymph nodes. By analyzing your CT/MRI scans and biopsy results before surgery, the AI may help doctors plan your treatment more precisely.
Shijiazhuang, None SelectedAges 18–80 - NCT07752238Recruiting
Predicting outcomes for newly diagnosed metastatic breast cancer
This study uses information from women with newly diagnosed breast cancer that has spread (metastatic) to create a tool that helps predict how the disease may progress. By looking at your medical records, they hope to improve care and help future patients.
Szombathely, Vas CountyAges 18 years+ - NCT06738888Recruiting
Better predicting easy thyroid removal through mouth or under chin
This study compares two approaches for thyroid removal surgery—one through the mouth and one under the chin—to find which is easier to perform. It is for people with thyroid nodules or early thyroid cancer that hasn't spread.
ShanghaiAges Any age - NCT06957626Recruiting
Predicting polyp return after removal
This study aims to develop a tool using gut bacteria and metabolites to predict if high-risk colon polyps will come back after removal. If you are between 40 and 75 and have had certain types of colon polyps removed, you may be able to help us build better prediction methods.
BeijingAges 40–75 - 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 - NCT06207084Recruiting
Home exercise program for people with physical disabilities
This study tests a home-based exercise program for people with permanent physical disabilities that limit mobility. The goal is to see if coaching and training sessions can help you become more active and improve your health.
Birmingham, AlabamaAges 18–89 - NCT06025240Recruiting
Better antibody monitoring after kidney transplant
This study tests a new way to monitor harmful antibodies after a kidney transplant. It may help prevent transplant rejection over time.
Liverpool, MerseysideAges 18 years+ - NCT05951764Recruiting
Checking risk prediction for heart and brain conditions
This study builds or tests computer models that predict risk for heart (cardiovascular) and thinking/memory (neurocognitive) problems using information from people in the general population. It may help improve early detection and planning for care.
ParisAges 45 years+ - NCT06986187Recruiting
Predicting difficult airways in heart surgery patients
This study measures how often difficult airways occur during heart or blood vessel surgery and builds a way to predict them beforehand. It may help your care team prepare for safer airway management during your procedure.
AnkaraAges 18 years+ - NCT07189819Recruiting
Closed-loop FES system for improving walking after stroke
This study tests a new electrical stimulation system that adapts in real time to help people who have had a stroke walk better. It may improve your step and make walking feel more natural.
Atlanta, GeorgiaAges 40–90 - NCT06697691Recruiting
Predicting rebleeding risk after upper gut bleeding
This study aims to create a tool that helps doctors predict if a patient with upper gut bleeding (not from veins) will rebleed while still in the hospital. It uses information from your hospital stay to better understand your risk and improve care.
Wuhan, HubeiAges 18 years+ - NCT06198309Recruiting
Predicting worsening COPD in severe patients
This study builds a tool to predict which COPD patients are likely to have worsening symptoms. It may help your doctor better manage your care if you have severe COPD.
Beijing, Beijing MunicipalityAges 40–85 - NCT06118437Recruiting
Gastrointestinal cancer screening prediction study
This study aims to build a model to predict your risk of gastrointestinal cancer based on personal risk factors. It involves having both an upper endoscopy (gastroscopy) and a colonoscopy at the same time.
Xi'an, ShaanxiAges 18–80 - 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+ - 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 - 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 - NCT07660263Recruiting
Predicting dementia after stroke with genetics and imaging
This study aims to develop a tool that predicts the risk of dementia after a stroke using genetic and imaging data. It enrolls both healthy adults and people who have had a stroke in the last 3 years.
Gyeonggi-do, Gyeonggi-doAges 19 years+ - NCT06507189Recruiting
How exercise affects older adults: a study
This study looks at how different older adults respond to exercise. It will help researchers understand why some people benefit more than others. You will be asked to do supervised exercise sessions and tests over about 6 months.
Pensacola, FloridaAges 60 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+ - NCT04300257Recruiting
Prediction tool for choosing treatment in sarcoma care
This trial tests a way to use patient information to help doctors decide which treatment approach may fit best for people with certain bone or soft-tissue tumors. It may help improve selection and care planning, but it depends on whether your data can be used.
Winterthur, Canton of ZurichAges Any age - NCT04490733Recruiting
Test dual-task walking to improve thinking in colorectal cancer
This study looks at a walking exercise that makes you do two tasks at once (for example, walking while focusing on something) to see if it can improve thinking and memory. It is for people newly diagnosed with early to mid-stage colorectal cancer, and excludes people with other cancers or cancer coming back.
TaipeiAges 40–75 - NCT05186623Recruiting
Personalized prediction for ulcerative colitis treatment response
This study builds a prediction model to estimate how people with ulcerative colitis may respond to certain medicines. It may help doctors choose the most effective treatment sooner.
SeoulAges 18–79 - NCT05448703Recruiting
Predicting radiation lung injury after lung cancer treatment
This study looks at ways to predict who will develop radiation pneumonitis (lung inflammation after radiation) and how outcomes vary. It may help doctors better watch and treat lung side effects after lung cancer radiation.
Wuhan, HubeiAges 18 years+
Hear when a new Predictive Model trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.
Common questions
- Are there clinical trials for predictive model?
- Yes. Clin2 currently lists 172 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.