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
- NCT07617038Enrolling by invitation
MRI Scan to Predict Liver Cancer Treatment Response
This trial uses a special type of MRI scan to see if doctors can predict how well a liver cancer treatment (called TACE) will work for you. The scan may help doctors understand your treatment response better.
Montreal, QuebecAges 18–70 - NCT06697691Recruiting
Predicting rebleeding risk after upper gut bleeding
This study aims to create a tool that helps doctors predict if a patient with upper gut bleeding (not from veins) will rebleed while still in the hospital. It uses information from your hospital stay to better understand your risk and improve care.
Wuhan, HubeiAges 18 years+ - NCT06706921RecruitingPhase 4
Predicting treatment success with PET scans in prostate cancer
This study looks at whether a special PET scan can help predict how well a targeted radiation therapy (LuPSMA) works in men with advanced prostate cancer that has spread. You would get several PET scans before and after treatment to see if the scan results can forecast your outcome.
Los Angeles, CaliforniaAges 18 years+ - NCT06075199Recruiting
Study of stomach lining changes for cancer risk
This study follows people with intestinal metaplasia (a change in the stomach lining) over time to better understand who might develop stomach cancer. It does not test a new treatment but aims to improve prediction and prevention.
SeoulAges 18 years+ - NCT07611773Recruiting
Brain Stimulation for Depression Treatment Planning
This study tests whether brain scans can predict which people with depression will benefit from transcranial direct current stimulation (tDCS)—a non-invasive treatment that uses mild electrical pulses to stimulate brain areas related to mood. You would use a small home device and complete brain monitoring sessions.
ValenciaAges 18 years+ - NCT07606079Recruiting
Comparing Methods to Predict Difficult Breathing Tube Placement
This study compares different assessment tools doctors use to predict whether a patient might have difficulty placing a breathing tube during anesthesia. By participating, you help researchers understand which prediction methods work best, which could improve safety for future patients.
IstanbulAges 18 years+ - NCT07611838Recruiting
Predicting ABPA Recurrence Using Blood and Immune Markers
This study helps doctors predict whether allergic bronchopulmonary aspergillosis (ABPA)—a serious lung condition caused by fungal allergy—will come back after treatment. Researchers will analyze blood samples and immune system markers to identify patients at higher risk of relapse, which could improve how doctors monitor and treat you.
Jinan, ShandongAges 18–80 - NCT07605533Recruiting
Ultrasound accuracy for detecting abdominal scar tissue before surgery
This study tests whether an ultrasound scan can accurately predict scar tissue inside the abdomen before a planned minimally invasive surgery. This could help doctors prepare better for surgery and reduce complications.
SohagAges Any age - 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+ - NCT07607080Recruiting
Predicting Treatment Success for High-Flow Oxygen Support
This study helps doctors predict which patients receiving high-flow oxygen through a nasal tube will need additional breathing support. Researchers use blood tests and clinical information to identify who might need a ventilator, allowing earlier interventions if needed.
Barcelona, CataloniaAges 18 years+ - NCT06703359Recruiting
A short walking test to predict survival in COPD
This study looks at how well a 6-minute stepper test (a simple exercise test) can predict survival in people with COPD. It aims to understand if this test can help doctors know more about a patient's future health.
RouenAges 18 years+ - NCT06212921Recruiting
Biomarkers to predict acute mesenteric ischemia
This trial is looking for biomarkers (clues in your blood) that can help doctors predict acute mesenteric ischemia, a condition where blood flow to your gut is suddenly blocked. It may help find better ways to diagnose this serious condition early.
TartuAges 18 years+ - NCT06709209Recruiting
AI tool for grading colitis during colonoscopy
This study uses a special AI system that analyzes images from a colonoscopy to help doctors better understand how active your ulcerative colitis is and predict how it might progress. If you are scheduled for a routine colonoscopy, this AI tool may help your doctor make more precise treatment decisions.
LeuvenAges 18–75 - NCT02573636Recruiting
Testing genes in prostate cancer after radiation relapse
This study looks at specific gene changes (TMPRSS2-ERG fusion and PTEN deletion) in people whose prostate cancer returned after radiation. It aims to understand who may have a higher risk of relapse and help predict outcomes after salvage or radical radiation.
Chicoutimi, QuebecAges 18 years+ - NCT06714747Recruiting
Soft tissue prediction for jaw surgery
This trial tests a new way to predict how facial soft tissues will change after jaw surgery using advanced imaging. It may help people needing orthognathic surgery to understand the likely aesthetic outcome.
Bologna, Emilia-RomagnaAges 18 years+ - NCT07602192Recruiting
Chest Imaging and Blood Tests to Distinguish Asthma From COPD
This study uses chest CT scans and blood tests to better tell asthma and COPD apart and predict which treatments will work best for you. The goal is to help doctors diagnose and treat these lung conditions more accurately.
Seoul, Dongjak-guAges 19 years+ - NCT07595926Recruiting
Proper Height Measurement in Ventilator Patients with Lung Injury
This study examines whether the way doctors measure height in sedated patients on breathing machines affects lung protection. Researchers will compare different measurement methods to see which one helps prevent breathing-machine-related lung injury in patients with severe lung failure (ARDS).
AmiensAges 18 years+ - NCT07595718Recruiting
Using health data and AI to predict major diseases
This study uses your health information and artificial intelligence to help predict the onset of major diseases. By joining, you could help improve early detection and prevention for conditions like diabetes, heart disease, and cancer.
Seoul, Seoul Special CityAges 30–65 - NCT07601282Recruiting
Predicting Incontinence Risk After Pelvic Floor Surgery
This study helps doctors predict which patients may develop urinary incontinence (leakage) after surgery to repair pelvic organ prolapse (when pelvic organs drop into the vaginal canal). By identifying risk factors early, doctors may be able to better prepare patients and prevent this complication.
Shanghai, Shanghai MunicipalityAges 20–90 - NCT07598097Recruiting
AI prediction of early birth using cervical ultrasound images
This study uses artificial intelligence to analyze cervical ultrasound images taken during pregnancy to predict whether a baby might be born early. The goal is to help doctors identify pregnancies at higher risk so they can plan better care.
CopenhagenAges 18 years+ - NCT07603583Recruiting
Heart Rate Variability to Detect Sleep Apnea in Hypertension
This study tests whether a simple heart-rate measurement can help detect obstructive sleep apnea (a breathing condition during sleep) in people with high blood pressure. The goal is to find an easier way to screen for sleep apnea, which often goes undiagnosed but can worsen heart health.
Kaohsiung City, KaohsiungAges 18–65 - NCT07603622Recruiting
Physical activity before surgery and recovery
This study looks at how your physical activity before surgery affects your recovery and long-term health. Researchers will track activity levels to see if they predict complications or survival after your operation. This could help tailor care to each patient.
StockholmAges 18 years+ - NCT07603128Recruiting
Testing a tool to predict antibiotic-resistant infections in ICU patients
This study validates a prediction tool designed to identify which ICU patients are at risk of developing multidrug-resistant gram-negative bacteria (a serious infection resistant to many antibiotics). The tool may help doctors start appropriate treatment earlier and improve patient outcomes.
Nanjing, JiangsuAges 18 years+ - NCT07587944Recruiting
Blood Markers to Predict AML Treatment Response
This study looks at special markers in bone marrow fluid to predict how well chemotherapy will work for newly diagnosed acute myeloid leukemia (AML). By identifying these markers early, doctors may be able to choose the best treatment plan for each patient.
Fuzhou, FujianAges 18 years+
Hear when a new Prediction 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 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.