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 83 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07773818Recruiting
Improving early triple-negative breast cancer prediction
This study is part of a larger project collecting detailed genetic and other biological data from people with triple-negative breast cancer. The goal is to build better models to predict how the disease will progress and respond to treatment.
Beijing, Beijing MunicipalityAges 18–75 - NCT07392567Recruiting
AI predicts liver spread in colorectal cancer
This study tests whether an artificial intelligence (AI) model can predict if colon or rectal cancer will spread to the liver. You will have a CT scan before surgery, and the AI will analyze the scan to see if it can forecast future liver metastasis.
Wuhan, HubeiAges 18–75 - NCT06364371Recruiting
Predicting rectal cancer treatment response using multi-omics
This trial is testing a new way to predict how well your rectal cancer will respond to treatments given before surgery. It uses advanced tests (like looking at genes and other markers) to tailor your care.
Guangzhou, GuangdongAges 18–80 - NCT04185779Recruiting
Colorectal cancer screening colonoscopy study
This study looks at patterns of colorectal (colon and rectum) findings in people who are having a colonoscopy as part of routine care. It may help improve how doctors detect and understand colorectal cancer and related growths over time.
South Shields, Tyne and WearAges 18 years+ - NCT06202404Recruiting
Predicting cancer spread with a new imaging tool
This trial tests if a special imaging analysis can predict where your cancer might spread. It's for people with advanced lung, colorectal, or breast cancer who are starting or continuing treatment.
Shanghai, Shanghai MunicipalityAges 18–75 - 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 - NCT06558487Recruiting
Cancer Admission Score prediction model validation
This trial is studying a new tool to predict whether cancer patients will need to be admitted to the hospital when they come to the emergency department. It may help doctors make better decisions about your care.
Rotterdam, South HollandAges 18 years+ - NCT05463796Recruiting
Prevention and early detection for people at high cancer risk
This study looks at surveillance (watching closely), prevention, and early “interception” steps to lower the chance that cancer will develop or be found later. It is for people with genetic risk, past cancer treatment exposures, strong family history, or certain early pre-cancer or high-risk conditions.
Boston, MassachusettsAges Any age - NCT06849193Recruiting
Predicting treatment outcomes in advanced bile duct cancer
This study looks at how well current chemotherapy and immunotherapy work for advanced bile duct or gallbladder cancers that cannot be removed by surgery. Researchers will collect data from multiple centers to build a model that helps predict how patients may respond to treatment.
Nanjing, JiangsuAges 18 years+ - 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+ - 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 - 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 - 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+ - 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+ - 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+ - NCT07117227Recruiting
Study to test a kidney cancer prediction model
This study is checking how well a model can predict the outcomes for people with kidney cancer who have had surgery. It looks at your medical records after surgery to help doctors better understand your recovery and future risks.
Beijing, Beijing MunicipalityAges 18–80 - 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+ - NCT06088134Recruiting
Predicting survival after kidney cancer surgery with CT scans
This study uses a computer model to analyze your CT scans and predict how long you might stay cancer-free after surgery. It aims to help doctors personalize follow-up care for clear cell kidney cancer.
Chongqing, Chongqing MunicipalityAges Any age - 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 - 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 - NCT06451393Recruiting
AI predicts stomach cancer response to chemo
This trial tests a computer-based model that uses CT scans, endoscopic images, and biopsy tissue to predict how well stomach cancer will respond to chemotherapy given before surgery. The goal is to help doctors choose the best treatment for each patient.
Guangzhou, GuangdongAges 20–90 - NCT05572944Recruiting
Using family risk to predict lung cancer in never-smokers
This study builds and tests risk prediction tools for lung cancer in people who have never smoked, using information from family history. If it works, it may help doctors identify who might need closer screening earlier.
Taichung, TaiwanAges 20–80 - NCT06533709Recruiting
Can PET-CT predict ovarian cancer surgery success?
This trial uses PET-CT scans to create a model that predicts how completely advanced ovarian cancer can be removed during surgery. It may help doctors plan the best treatment for you.
Guangzhou, GuangdongAges 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+
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Common questions
- Are there clinical trials for predictive cancer model?
- Yes. Clin2 currently lists 83 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.