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 82 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- 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+ - 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 - 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 - 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 - 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+ - 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+ - 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 - 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 - NCT06536257Recruiting
Personalized immunotherapy prediction for melanoma and other cancers
This trial is testing a new way to predict which immunotherapy might work best for your cancer. It uses a sample of your tumor to look for personal markers, so your treatment can be tailored to you.
Sydney, New South WalesAges 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 - NCT07417800Recruiting
Predicting liver cancer treatment after surgery
This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.
Hangzhou, ZhejiangAges 18 years+ - 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 - NCT06791473Recruiting
AI cancer diagnosis study using electronic health records
This study uses artificial intelligence to analyze electronic health records (including medical history, lab results, and imaging data) to improve cancer diagnosis and prediction. It aims to help identify cancer earlier and more accurately, potentially leading to better treatment outcomes.
Guangzhou, GuangdongAges birth–90 years - NCT07118813Recruiting
AI predicts kidney cancer surgery outcomes
This trial uses artificial intelligence to read CT scans and predict how well kidney cancer patients will do after surgery. It aims to help doctors plan better treatment for you.
Wuhan, HubeiAges 18 years+ - 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 - 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 - 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 - NCT07399236Recruiting
AI prediction of liver spread in colorectal cancer
This study looks at whether an AI tool can predict if colorectal cancer will spread to the liver. The researchers will review past medical records of patients who had surgery to remove their cancer and had no signs of spread at that time.
Wuhan, HubeiAges 18–75 - NCT06538636Recruiting
Improving lung cancer screening for Veterans
This study is testing a new way to find Veterans who might benefit from yearly lung cancer screening. It uses a computer model to estimate your personal benefit, even if you don't fit the usual screening guidelines.
Bedford, MassachusettsAges 50–80 - NCT06684418Recruiting
AI to find hidden cancer spread in early lung cancer
This trial uses artificial intelligence to predict if early-stage lung cancer has spread to nearby lymph nodes. It aims to help doctors make better treatment decisions for patients with stage 1 lung cancer.
ShanghaiAges 18 years+ - NCT03624712Recruiting
Improve prediction and treatment plans for uterine cancers
This study looks at better ways to predict disease and choose treatment for cancers of the cervix, endometrium (uterine lining), or uterine sarcoma. It may help patients by testing tools and treatment models that could guide care more accurately.
TübingenAges 18 years+ - NCT06570486Recruiting
Predicting long hospital stays after head and neck tumor surgery
This study compares a traditional model with AI to see which better predicts a longer hospital stay after head and neck tumor surgery. It aims to help doctors plan your recovery.
Guangzhou, GuangdongAges 18 years+ - NCT06774729Recruiting
Predicting tumor spread using MRI in sarcoma or bone cancer
This trial uses MRI scans to create a model that may predict if a musculoskeletal tumor is spreading. It aims to help doctors decide on the best surgical treatment.
BolognaAges 18 years+
Hear when a new Predictive Cancer 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 cancer model?
- Yes. Clin2 currently lists 82 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.