Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,076 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07109856Recruiting
A new tool to predict infection in newborns
This study tests a simple non-invasive score that uses blood flow in muscles to predict if a newborn has or will develop high inflammation levels (C-reactive protein). It may help doctors start treatment earlier in babies with breathing problems.
Graz, StyriaAges birth–6 hours - NCT07111273Recruiting
Predicting relapse in ulcerative colitis with early stool tests
This study looks at whether early stool tests (fecal immunochemical test and calprotectin) can predict when ulcerative colitis symptoms might return. It is for people who have never taken biologic medications.
Jinan, ShandongAges 18–75 - NCT07107243Recruiting
Using a new measurement to predict airway safety in tracheostomy patients
This trial tests if a new measurement called TTPEE can help doctors predict if the upper airway will stay open safely in people who have a tracheostomy and have recently been weaned off a ventilator.
Hunan, HunanAges 18 years+ - NCT07112599Recruiting
AI predicts lymph node spread in high-risk prostate cancer
This study uses artificial intelligence to examine MRI and other health data to better predict if high-risk prostate cancer has spread to nearby lymph nodes. Researchers hope this will help guide treatment decisions.
Hefei, AnhuiAges 50 years+ - NCT07108660Recruiting
Predicting and reducing bloodstream infections from central lines
This trial uses machine learning to predict infections that can happen with central lines (special IVs placed in large veins) and aims to reduce how often they occur. It focuses on hospitals with the highest infection rates, so you might be eligible if you receive care at one of these hospitals.
Anchorage, AlaskaAges 18 years+ - NCT07106294Recruiting
Using light imaging to predict preeclampsia risk
This study tests whether a special camera (hyperspectral imaging) can predict preeclampsia, a serious pregnancy condition, by taking pictures during a routine ultrasound. It may help doctors spot risks earlier.
HeidelbergAges 18 years+ - NCT07109596Recruiting
Frailty prediction for older hospital patients
This study looks at how different factors—like health, mental well-being, and social support—work together to predict frailty in older adults. The goal is to better understand frailty in men and women, which may help doctors provide more personalized care.
RomaAges 56 years+ - NCT06395636Recruiting
Fitbit to detect infections after children's appendix surgery
This trial uses a Fitbit wearable to see if it can help detect infections early in children recovering from surgery for complicated appendicitis. It aims to improve recovery and catch problems sooner.
Chicago, IllinoisAges 3–18 - 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 - NCT07098884Recruiting
Using smartphone photos and AI to diagnose lung nodules
This trial uses photos of lung nodule tissue taken with a smartphone and analyzes them with artificial intelligence to improve diagnosis and predict outcomes. It may help people who are scheduled for lung surgery based on CT scans.
Hefei, AnhuiAges 20–75 - NCT07582887Recruiting
Genetic Testing to Predict Side Effects from Breast Cancer Antibody Drugs
This study examines how genetic differences affect how your body handles three newer breast cancer medications (Sacituzumab Govitecan, Trastuzumab Deruxtecan, or Datopotamab Deruxtecan). A blood test will check your UGT1A1 gene to help doctors predict which side effects you might experience and adjust your treatment accordingly.
Granada, GranadaAges 18 years+ - NCT07104214Recruiting
Predicting stomach retention risk before sedated endoscopy
This study is building a tool to predict if a patient's stomach will empty normally before a sedated upper endoscopy (gastroscopy). It tests risk factors that help doctors plan safer procedures.
Hangzhou, ZhejiangAges 18 years+ - NCT07096219Enrolling by invitation
Catheter Ablation for Leaky Mitral Valve in Persistent Atrial Fibrillation
This trial tests if catheter ablation—a procedure to fix heart rhythm—can help people with a leaky mitral valve that is caused by atrial fibrillation (functional mitral regurgitation). If you have persistent atrial fibrillation and moderate leaky valve, you may benefit from this treatment.
Guangzhou, GuangdongAges 18–75 - NCT07089524Recruiting
Comparing two blood tests for sepsis in ICUs
This study compares two blood test measurements (neutrophil/lymphocyte ratio and lactate/albumin ratio) to see which better predicts how severe an infection is in ICU patients with sepsis. It aims to find a simpler way to track inflammation.
Cairo, AbbassiaAges 18–80 - NCT07093294Recruiting
Predicting vedolizumab success with ultrasound in early Crohn's
This study uses intestinal ultrasound to see if vedolizumab can heal the gut in people recently diagnosed with Crohn's disease. It aims to find early signs that the treatment is working.
Changsha, HunanAges 18–80 - NCT07088354Recruiting
AI model predicts treatment response in esophageal cancer
This trial tests whether an artificial intelligence (AI) model can accurately predict if esophageal cancer will completely disappear after chemotherapy combined with immunotherapy before surgery. If successful, it could help doctors decide the best treatment plan for patients.
Wuhan, HubeiAges 18 years+ - NCT07089095Recruiting
Choosing rehab after a stroke: your preferences matter
This study looks at what matters to you when choosing rehabilitation care after a recent stroke. By joining, you can help doctors understand how to better support people like you in recovery.
TaipeiAges 18 years+ - NCT07090512Recruiting
Ultrasound to predict kidney risk after transplant
This study uses ultrasound of donor kidneys to predict the risk of kidney problems after transplant. It may help doctors better understand transplant outcomes.
Jinan, ShandongAges 18 years+ - NCT07090382Enrolling by invitation
Predicting shock risk in heart attack patients
This study uses an AI tool to predict which patients with a heart attack might develop cardiogenic shock, a serious complication where the heart can't pump enough blood. It aims to help doctors identify high-risk patients early.
BratislavaAges 18 years+ - NCT07587229Recruiting
Predicting chemotherapy response in gastric cancer
This research study analyzes tumor tissue samples to understand why some patients respond better to chemotherapy after gastric cancer surgery. By studying how genes are processed in cancer cells, researchers hope to predict which patients will benefit most from treatment.
Duarte, CaliforniaAges 18 years+ - NCT07084883Recruiting
AI system for early AMD detection
This trial tests an AI system designed to catch early signs of late age-related macular degeneration (AMD) before it's diagnosed. It's for people who haven't yet been diagnosed with AMD or treated for retinal disease.
Richmond Hill, New YorkAges 50 years+ - NCT07075926Recruiting
Heart ultrasound to predict breathing tube removal success in ICU
This study uses a heart ultrasound to see if it can help doctors predict when patients in the ICU are ready to have their breathing tube removed. It may help avoid failed extubations and reduce complications.
Istanbul, IstanbulAges 18 years+ - NCT07079137Recruiting
Snakebite severity score study
This study tests a new scoring system to predict how serious a snakebite is and what symptoms may develop. If you've been bitten by a snake in the last 24 hours, this study could help improve care for others like you.
Thrissur, KeralaAges 18 years+ - NCT07084610RecruitingPhase 2
Metabolic markers predict response to immunotherapy before lung cancer surgery
This trial tests whether certain markers in your blood or tissue can predict how well immunotherapy works before surgery for early-stage lung cancer. It aims to find out who benefits most from this treatment.
Ribeirão Preto, São PauloAges 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 1,076 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.