Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,080 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07561632Recruiting
Early Stress Screening After Emergency Cesarean Delivery
This study looks at whether certain signs of distress right after an unexpected cesarean delivery can predict who might develop PTSD (post-traumatic stress disorder) later. Researchers want to understand this connection so they can help women who are struggling after this traumatic birth experience.
Vancouver, British ColumbiaAges 19 years+ - 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+ - NCT07559123Recruiting
Imaging to predict who benefits from chemoimmunotherapy before lung cancer surgery
This study uses CT scan images to help doctors predict which patients with resectable lung cancer will benefit most from receiving chemoimmunotherapy (a combination of chemotherapy and immunotherapy) before surgery. The goal is to personalize treatment planning and improve outcomes.
SeoulAges 18 years+ - NCT07556042Recruiting
Machine Learning to Predict Scoliosis Progression in Teens
This study uses artificial intelligence to predict how adolescent scoliosis (curvature of the spine) might progress over time. By understanding which teens are most at risk, doctors hope to catch and treat the condition earlier.
IstanbulAges 10–18 - NCT06742021Recruiting
MRI test to predict immune therapy response in lung cancer
This trial uses a special MRI technique (4D FreeBreathing) to see if it can predict how well immune therapy or targeted therapy works for your lung cancer. It may help doctors choose the best treatment for you more quickly.
Kunming, YunnanAges 18–75 - NCT07546188Recruiting
AI System to Help Lymphoma Patients Take Oral Medications
This trial tests an artificial intelligence (AI) system designed to predict and help prevent medication non-compliance—meaning skipped or missed doses—in lymphoma patients taking oral (by-mouth) therapies. The goal is to catch problems early and support patients in taking their medications as prescribed.
Charleroi, HainautAges 18 years+ - NCT07545512Recruiting
Finding heart attack risk markers in moderate heart weakness
This study helps doctors identify which heart attack survivors with moderate heart weakness are at highest risk of sudden cardiac death. Researchers will collect health information and heart imaging over 5 years to find early warning signs.
AmiensAges 18–80 - NCT07546656Recruiting
Using Vein Size to Predict Fluid Response in ICU Patients
This study tests whether measuring the size of a vein in your groin using ultrasound can help doctors decide if you need more fluids when you're critically ill in the ICU. The goal is to improve how doctors manage fluid treatment for patients on breathing machines.
Istanbul, IstanbulAges 18 years+ - NCT07542925Recruiting
Predicting ICU Needs After Cancer Surgery
This study helps doctors predict which cancer surgery patients will need intensive care after their operation. By understanding these patterns better, hospitals can prepare resources and plan better care for patients like you.
AnkaraAges 18 years+ - NCT07541547Recruiting
Using wearables and hearing tests to predict adult health risks
This study uses a smartphone app, a wearable device (like a fitness tracker), and hearing tests to collect health information and predict future health problems. It may help doctors identify health risks earlier so you can take steps to stay healthier.
Zhunan, MiaoliAges 18 years+ - NCT07537738Recruiting
Blood test to predict outcomes in MLL acute myeloid leukemia
This study uses a special blood test to see if it can predict which patients with a specific type of acute myeloid leukemia (AML with MLL changes) are more likely to relapse or have better survival. The test may help doctors plan better treatment.
BeijingAges 6–60 - NCT07539532Recruiting
AI model to predict heart problems after stomach surgery
This study compares a new artificial intelligence tool with traditional methods to predict which patients might have heart-related complications after gastrointestinal surgery. The goal is to find better ways to identify high-risk patients and potentially improve their care.
Hà NộiAges 16 years+ - NCT07539727Recruiting
Intestinal ultrasound to predict Crohn's disease flare-ups
This study tests whether a special ultrasound of the intestines can predict when Crohn's disease will flare up again in patients whose disease is currently well-controlled. If successful, doctors could catch flare-ups earlier and adjust treatment before symptoms worsen.
Guangzhou, GuangdongAges 18–70 - NCT07537491Recruiting
AI tool to predict surgery outcomes in colorectal cancer
This study uses artificial intelligence to analyze tissue samples from your colorectal cancer surgery to help predict how you'll recover and what your long-term outlook might be. Researchers will examine your tumor tissue under a microscope to build a computer model that could help doctors personalize your care plan.
Brandenburg an der HavelAges 18 years+ - NCT06203327Recruiting
Can atrophic gastritis predict stomach cancer risk?
This trial studies whether a condition called atrophic gastritis (thinning of the stomach lining) can help predict who is more likely to develop stomach cancer. It may help with early detection and prevention.
Shanghai, Shanghai MunicipalityAges 18–70 - NCT07527715Recruiting
Heart MRI Study for Dilated Heart Muscle Disease
This research uses cardiac MRI scans and patient data to better predict outcomes in people with dilated cardiomyopathy—a condition where the heart's main pumping chamber becomes enlarged and weakened. Participating could help doctors improve how they care for similar patients in the future.
Jinan, ShandongAges 18 years+ - NCT07532538Recruiting
Machine learning tool to predict head and neck cancer risk
This study tests a computer program designed to help doctors predict which head and neck lesions (abnormal tissue growths) might be cancerous. Researchers will use your medical information and throat imaging to teach the program, which could help catch cancer earlier.
Nanjing, JiangsuAges 18–100 - NCT06755866Recruiting
Predicting chemo-radiation response with improved MRI for esophageal cancer
This trial uses a special MRI technique to see if it can predict how well esophageal cancer responds to chemo-radiotherapy before surgery. It may help doctors choose the best treatment plan for you.
Kunming, YunnanAges 18–80 - NCT06755775Recruiting
PET scan to predict immunotherapy success in DLBCL
This trial uses a special PET scan to see if a protein called Granzyme B can predict how well immunotherapy will work for people with DLBCL. It aims to help doctors know earlier if treatment is effective.
ShanghaiAges 18 years+ - NCT07524062Recruiting
Thermal Imaging to Predict Surgical Wound Healing
This study uses thermal imaging (a camera that detects heat patterns on skin) to predict how well skin wounds will heal after surgery to remove suspicious or cancerous skin lesions. The goal is to identify which patients might have healing problems early so doctors can provide extra care.
Leuven, Vlaams BrabantAges 18 years+ - NCT07516236Recruiting
Using blood oxygen levels to guide fluid treatment in septic shock
This trial is studying whether a measure of oxygen in your blood (called SvO2) can help doctors decide if giving you more fluids will help improve your blood pressure during septic shock. The goal is to make fluid treatment more precise and avoid giving too much fluid.
MenoufAges 18 years+ - NCT07517406Recruiting
Blood sugar patterns in pregnant women after weight-loss surgery
This study looks at blood sugar measurements in pregnant women who have had weight-loss (bariatric) surgery before getting pregnant. Researchers want to find which blood sugar tests best predict gestational diabetes—a type of diabetes that develops during pregnancy—so they can catch and treat it earlier.
Istanbul, ŞişliAges 18–50 - NCT07516119Recruiting
Predicting Alzheimer's Risk Before Memory Loss Occurs
This study identifies people at high risk for Alzheimer's disease before symptoms develop, using genetics and digital tools to track brain health over time. If you qualify, you'll help researchers understand who will develop cognitive decline and potentially enable earlier interventions.
San Diego, CaliforniaAges 55 years+ - NCT07510451Recruiting
Predicting low blood pressure during major aortic surgery
This trial tests a new monitoring tool that predicts drops in blood pressure before they happen during major aortic surgery. It may help doctors keep your blood pressure more stable during the procedure.
Poznan, PoznańAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,080 recruiting prediction 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 prediction 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 prediction 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.