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
- NCT07559721Recruiting
Understanding Inflammatory Polyps in Kidney Stone Surgery
This study looks at what causes inflammatory polyps (growths) to form in the ureter when you have kidney stones. By understanding these risk factors, doctors hope to better predict and prevent complications during stone removal surgery.
Changchun, JilinAges 18–80 - 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 - 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+ - NCT07635771Recruiting
Physical fitness and mental health during pregnancy and birth
This study looks at how a pregnant woman's fitness level and mental well-being might affect labor and breastfeeding success. Researchers will ask you about your physical activity and feelings throughout pregnancy to help predict how your labor might go.
Tortosa, TarragonaAges 18 years+ - NCT07668037Recruiting
Understanding long-term survival in NSCLC immunotherapy
This study looks at patients with advanced non-small cell lung cancer who received immunotherapy (immune checkpoint inhibitors) alone or in combination with other treatments. It aims to understand why some patients survive longer than others by analyzing their medical data and using AI to predict outcomes.
BeijingAges 18 years+ - NCT06892795Enrolling by invitation
Predicting low body temperature during surgery in children
This study aims to predict which children might get too cold during surgery under general anesthesia lasting more than 30 minutes. It's trying to create a simple checklist to help doctors keep kids warm and safe.
Harbin, HeilongjiangAges Up to 15 years - NCT06800859Enrolling by invitation
Predicting headache after spinal puncture
This study looks at patients having spinal anesthesia to find patterns that might predict a post-dural puncture headache. It aims to create a risk model that can help prevent or manage this complication.
Wuhan, HubeiAges 3–34 - NCT06786780Enrolling by invitationPhase 2
Predicting chemoradiation response with cervical cancer organoids
This trial is studying whether lab-grown mini-tumors (called organoids) from your cervical cancer biopsy can predict how well chemoradiation will work. It aims to create a tool to help doctors choose the best treatment for each patient.
Chongqing, ChinaAges 18 years+ - NCT06510127Enrolling by invitation
AI Predicts Chemo Effectiveness Before Breast Surgery
This study uses an AI model to predict how well chemotherapy will work before breast cancer surgery. It looks back at medical records and images from women who have already completed treatment to see if the AI can help guide future care.
Guangzhou, GuangdongAges Any age - NCT06452173Enrolling by invitation
Risk prediction for stroke in carotid artery narrowing
This study uses MRI scans to build a risk prediction model for stroke and other cerebrovascular events in people with carotid artery stenosis (narrowing of the neck arteries). By participating, you help doctors better understand who is at highest risk, which may lead to more personalized treatment.
Beijing, Beijing MunicipalityAges Any age - NCT06450964Enrolling by invitation
Studying Mitochondrial Disease to Improve Genetic Counseling
This study aims to learn more about mitochondrial DNA diseases by building a group of people with these conditions. The information gathered may help doctors give better genetic counseling to families.
Hefei, AnhuiAges Any age - NCT06092450Recruiting
Using AI scans to predict bladder cancer treatment results
This trial uses an artificial intelligence model to analyze CT scans taken before bladder removal surgery. The goal is to see if the AI can predict outcomes for patients with muscle-invasive bladder cancer.
Chongqing, Chongqing MunicipalityAges Any age - NCT05929365Recruiting
Test genetic marker tracking to find returning colon polyps
This study looks at stool or tissue DNA changes (called mutation analysis) plus colonoscopy findings to detect whether colon polyps come back. It may help catch recurrent colorectal lesions earlier during surveillance after a large polyp was removed.
PragueAges 18–75 - NCT06372054Recruiting
Predicting health risks for Italian Air Force members
This study aims to develop smart risk models using your body's data (like proteins and genes) along with personal exposure readings. It will help predict health risks for Italian Air Force personnel. You will wear a monitor and give samples, then be followed over time.
MilanAges 26–38 - NCT06831357Recruiting
Predicting Cancer Spread in Nasopharyngeal Cancer Using AI
This trial uses a deep learning computer model to look at tissue images and MRI scans to predict whether nasopharyngeal carcinoma may spread to other parts of the body. It may help doctors decide on the best treatment for people with certain stages of this cancer.
Guangzhou, GuangdongAges Any age - NCT07096219Enrolling by invitation
Catheter Ablation for Leaky Mitral Valve in Persistent Atrial Fibrillation
This trial tests if catheter ablation—a procedure to fix heart rhythm—can help people with a leaky mitral valve that is caused by atrial fibrillation (functional mitral regurgitation). If you have persistent atrial fibrillation and moderate leaky valve, you may benefit from this treatment.
Guangzhou, GuangdongAges 18–75 - NCT05392413Recruiting
Predicting who benefits from PD-1 antibody for esophageal cancer
This study uses an “immune indicator model” to help predict how well a PD-1 antibody (a cancer-fighting immune drug) works when combined with chemotherapy for stage IV esophageal squamous cell cancer. If you qualify, you receive the treatment and the researchers also look for immune-related signs that may explain who benefits most.
GuangzhouAges 18–75 - NCT05876598Recruiting
Predict bloodstream infection risk using a computer model
This study builds and tests a computer (machine-learning) model to predict bloodstream infections based on what happens in the first days of care. It may help doctors start the right antibiotic faster for patients who truly have an infection.
RomeAges 18 years+ - NCT06391892RecruitingPhase 3
Liquid biopsy guided treatment for early pancreatic cancer
This trial uses a liquid biopsy (a simple blood test that looks for cancer DNA) to decide whether you should have chemotherapy before surgery or go straight to surgery. It is for people with pancreatic cancer that has not spread beyond the pancreas.
Linz, Upper AustriaAges 18–99 - NCT06463756Recruiting
AI Predicts Thyroid Cartilage Invasion in Laryngeal Cancer
This study uses AI to analyze CT scans and predict if laryngeal cancer has spread to the thyroid cartilage. It may help doctors plan better treatment without needing extra invasive procedures.
ChongqingAges 18–81 - NCT06577272Recruiting
Predicting cancer return after tumor ablation
This study looks at people with liver cancer who are treated with a procedure called radiofrequency ablation (RFA). It aims to create a tool that can predict the chance of the cancer coming back after treatment.
Hangzhou, ZhejiangAges Any age - NCT06669728Recruiting
ICL eye surgery prediction study using eye images
This study tests if a computer model can look at images of your eye to help predict whether ICL surgery (a type of vision correction) will work well. It may help find the best lens size for people with nearsightedness.
Nanchang, JiangxiAges 18–45 - NCT06751498Recruiting
Predicting kidney function after partial nephrectomy with AI
This trial uses a special computer model to predict how well your kidneys will work after surgery to remove part of a kidney (partial nephrectomy). It may help doctors plan better care for people with early-stage kidney tumors.
Nanjing, JiangsuAges 18–80
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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.