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
- 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 - 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+ - 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 - 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 - 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+ - 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+ - 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+ - 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 - 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 - 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+ - 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+ - NCT07124754Recruiting
Predicting lymph node spread in early stomach cancer
This study tests if artificial intelligence can predict whether early-stage stomach cancer has spread to lymph nodes. It also evaluates how well doctors assess the cancer. If the technology works, it could help guide treatment decisions.
Shijiazhuang, None SelectedAges 18 years+ - NCT06652061Recruiting
AI model to predict bone density from X-ray
This trial is testing an artificial intelligence (AI) model that uses X-ray images to predict bone density. If you have X-rays and a bone density scan, the AI may help doctors screen for osteoporosis without extra tests.
DhakaAges 18 years+ - NCT06309576Recruiting
Study on body weight regulation using liquid meals
This study tests how the body regulates weight by having participants drink only a special liquid meal for two days. It may help researchers understand weight changes in people with low or high body weight.
Baton Rouge, LouisianaAges 18–40 - NCT03953144RecruitingPhase 1/Phase 2
3D lung surgery planning with a dye to find tumors
This trial tests a new way to plan and guide lung cancer surgery using a special dye that shows the tumor area during the operation. It may help surgeons remove the cancer more accurately while targeting only a small section of lung for certain early-stage patients.
Hamilton, OntarioAges 18 years+ - NCT07304934Recruiting
New blood test model to check lymph node status in breast cancer
This study uses a blood test and imaging to predict whether breast cancer has spread to underarm lymph nodes, helping guide surgery. It may reduce unnecessary lymph node removal.
Hangzhou, ZhejiangAges 18 years+ - NCT07244094Recruiting
AI predicts breast cancer spread risk from tissue scans
This trial uses artificial intelligence to analyze images of your tumor tissue to predict if breast cancer might spread to other parts of the body. It may help doctors better understand your individual risk and guide treatment decisions.
Changchun, JilinAges 18–95 - NCT07436598Recruiting
3D modeling before lung surgery to predict lung function
This trial uses 3D models from your CT scan to help doctors predict how well your lungs will work after surgery. It is for people having a certain type of lung surgery (VATS) to remove part of a lung.
TaipeiAges 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.