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
- NCT07200466Recruiting
Personalized risk assessment for endometrial cancer
This trial uses a prediction model to better estimate the risk of endometrial cancer coming back. It aims to help doctors and patients make more personalized treatment decisions after surgery.
Arnhem, GelderlandAges 45 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 - NCT07181525Recruiting
Predicting how well biologics work for IBD
This study builds a model to predict which biologic drug will work best for people with active inflammatory bowel disease (IBD). It uses data from patients already treated with biologics to help guide future treatment decisions.
BeijingAges 18 years+ - NCT07128186Recruiting
AI predicts memory decline in type 2 diabetes
This study uses an AI tool to predict memory problems in people with type 2 diabetes. It may help catch early signs of cognitive decline and guide future care.
Enshi, HubeiAges 40–75 - NCT07104214Recruiting
Predicting stomach retention risk before sedated endoscopy
This study is building a tool to predict if a patient's stomach will empty normally before a sedated upper endoscopy (gastroscopy). It tests risk factors that help doctors plan safer procedures.
Hangzhou, ZhejiangAges 18 years+ - NCT05763277Recruiting
Predicting early response to atezolizumab plus bevacizumab
This study tries to predict how well your cancer responds early after starting a treatment called atezolizumab plus bevacizumab. If you qualify, your information may help doctors choose better treatments sooner for people with advanced liver cancer.
SeoulAges 18–80 - NCT07088354Recruiting
AI model predicts treatment response in esophageal cancer
This trial tests whether an artificial intelligence (AI) model can accurately predict if esophageal cancer will completely disappear after chemotherapy combined with immunotherapy before surgery. If successful, it could help doctors decide the best treatment plan for patients.
Wuhan, HubeiAges 18 years+ - NCT07069842Recruiting
Gastric cancer immunotherapy prediction model
This study looks at markers in your tumor to predict how well immunotherapy might work for you. It aims to create a model that helps doctors choose the best treatment for advanced gastric cancer.
Changzhi, ShanxiAges 18–75 - NCT07039552Recruiting
Ovarian cancer risk check for family members
This study looks at family members of people with ovarian cancer to build a better tool for predicting their risk. If you have a BRCA1 or BRCA2 gene mutation, you may be able to join.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07031843Recruiting
New prediction model study for liver cirrhosis
This study is exploring a new way to predict how liver cirrhosis will progress. It may help doctors better understand and manage the condition.
Chongqing, Chongqing MunicipalityAges 18–75 - NCT07031661Recruiting
Bipolar disorder risk study for teens and children
This study follows children and teens who may be at higher risk for bipolar disorder to develop a prediction model. It includes three groups: those with a parent who has bipolar disorder, those with atypical depression, and healthy volunteers.
Shanghai, Shanghai MunicipalityAges 6–18 - NCT07030166Recruiting
Predicting kidney injury risk after non-cardiac surgery
This trial uses machine learning to predict the risk of acute kidney injury (AKI) after non-cardiac surgery. If you are 18 or older and having this type of surgery, it may help understand your risk and guide care.
NanjingAges 18 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+ - 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 - NCT06950697Recruiting
Blood clot risk prediction for lung cancer patients on immunotherapy
This study builds a tool to predict blood clot risk in lung cancer patients receiving immune checkpoint inhibitors. Researchers will use your data to develop a more personalized risk assessment, which may help prevent dangerous clots during treatment.
Zhengzhou, HenanAges 18 years+ - NCT06564428Recruiting
Ovarian cancer risk prediction study with genetic testing
This study looks at whether certain genetic mutations can help predict the risk of getting ovarian cancer. It aims to better understand how these inherited changes lead to the disease, which could help with early detection and prevention.
Beijing, Beijing MunicipalityAges 18 years+ - 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 - NCT06590220Recruiting
Predicting treatment needs for moderate to severe thyroid eye disease
This study aims to build a model that helps doctors predict how thyroid eye disease (TAO) will progress, specifically for patients with moderate to severe symptoms. If you have had TAO and meet the activity criteria, your participation could lead to better personalized care.
Shanghai, Shanghai MunicipalityAges 18–80 - NCT06328517Recruiting
Nutrition and liver cirrhosis: a study of outcomes
This study looks at how nutrition affects the health of people with liver cirrhosis (scarred liver) and aims to build a tool to predict their outcomes. If you have cirrhosis, joining may help researchers find better ways to support your health.
Chongqing, Chongqing MunicipalityAges 18–75 - 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 - NCT06842264Recruiting
MRI brain test to predict prostate cancer risk
This study uses MRI scans and artificial intelligence to predict the risk of clinically significant prostate cancer. It may help find a way to detect aggressive cancers without needing a biopsy.
BeijingAges Any age - 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+ - 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
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 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.