Clinical trials
Predictive Cancer Model clinical trials
Below are recruiting predictive cancer model clinical trials, each written for real people, not researchers. We’re tracking 74 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06524245Recruiting
Predicting Colorectal Cancer Recurrence with Portal Vein Blood
This study looks at blood from a special vein near your liver (portal vein) to find markers that might predict if colorectal cancer will come back. The goal is to create a better way to identify patients who may need closer monitoring after surgery.
Beijing, Beijing MunicipalityAges 18 years+ - NCT06773598Recruiting
MRI-based machine learning tool for prostate cancer
This trial tests a computer model that learns from MRI scans to predict prostate cancer. If you have had a prostate MRI showing suspicious areas and are scheduled for a biopsy, joining may help improve how cancer is detected.
BolognaAges 18 years+ - 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+ - 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 - 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 - NCT07328945Recruiting
Personalized treatment for non-small cell lung cancer using a tumor model
This trial tests a new way to choose the best treatment for your lung cancer by creating a model of your tumor in the lab. It may help doctors find the most effective therapy for you.
Shanghai, Shanghai MunicipalityAges 18–80 - NCT06523374Recruiting
Studying quality of life and cancer risk in Barrett's esophagus
This study looks at how Barrett's esophagus affects your quality of life and fear of cancer. It uses new tests to better predict who might develop esophageal cancer, so you can get the right care sooner.
Edegem, AntwerpenAges 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 - NCT07683845Recruiting
Using a tumor model to predict chemo response in pancreatic cancer
This trial tests a personalized approach by growing a miniature model of your tumor from a tissue sample. The goal is to see if this model can predict which chemotherapy will work best for you before you start treatment.
Shanghai, Shanghai MunicipalityAges 18–75 - 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 - NCT05404321Recruiting
Collecting tumor samples to study triple-negative breast cancer treatments
This study collects tumor tissue from people with early-stage triple-negative breast cancer before they start neoadjuvant chemotherapy. The goal is to help researchers test new therapies and look for markers that may predict who benefits.
CaenAges 18 years+ - 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+ - 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+ - NCT07848815Recruiting
Lung cancer checks for COPD patients
This study looks at people with COPD to find lung cancer earlier using risk-based checks. It may help catch cancer sooner and guide better care.
Vejle, Region SyddanmarkAges 50 years+ - NCT06947096Enrolling by invitation
AI prediction of stomach cancer spread to lymph nodes
This study uses artificial intelligence to analyze your CT scan and predict whether stomach cancer has spread to lymph nodes behind your belly. The goal is to help doctors decide if you need more extensive surgery.
Shijiazhuang, None SelectedAges 18–80 - 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+ - NCT07026669Recruiting
Studying treatment response in small cell lung cancer with genetic testing
This trial collects blood and tumor samples from people newly diagnosed with small cell lung cancer to study how genetic markers can predict treatment success and monitor disease over time.
Beijing, Beijing MunicipalityAges 18 years+ - NCT06262386Recruiting
Predicting lung cancer return after surgery
This study tests a new way to predict if non-small cell lung cancer will return after surgery. You will give blood samples to look for cancer cells, and the team will build a model to help plan better follow-up care.
Taoyuan CityAges 20–90 - 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 - 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 - 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+ - NCT07830576Recruiting
Predicting survival after liver surgery for colorectal cancer
This study uses your liver MRI scans and medical information to build a tool that predicts survival after surgery for colorectal cancer that has spread to the liver. It may help doctors better understand your outlook and plan care.
Hefei, AnhuiAges 18–80 - 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+ - 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 cancer model?
- Yes. Clin2 currently lists 74 recruiting predictive cancer 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 cancer 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 cancer 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.