Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,118 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- 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 - 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+ - 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 - NCT07565051Recruiting
Predicting weight loss after gastric bypass surgery
This study looks at whether measuring muscle mass before gastric bypass surgery can predict how much weight you'll lose afterward. Understanding this connection may help doctors better prepare patients for surgery and set realistic goals.
Geneva, Canton of GenevaAges Any age - NCT07573839Recruiting
Predicting bipolar disorder relapse using voice and video analysis
This study uses artificial intelligence to analyze speech patterns and facial expressions from people with bipolar disorder to predict who might have a relapse. If successful, it could help doctors identify warning signs earlier and prevent episodes before they happen.
ShanghaiAges 18–64 - NCT07574749Recruiting
Breast Cancer Blood Test to Guide Treatment Choices
This study examines tiny particles in your blood from breast cancer cells to better predict which treatments will work best for you. Researchers will collect blood samples and a small tissue sample to understand your cancer's characteristics and help doctors choose more effective therapy.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT07579052Recruiting
Predicting When Severely Ill COPD Patients Can Stop Breathing Machines
This study tests a prediction tool called CLEAR to help doctors know when patients with severe COPD lung disease are ready to stop using breathing machines (ventilators) in the ICU. The tool may help doctors make faster, safer decisions about when patients can breathe on their own.
Asyut, Assuit EgyptAges 40 years+ - 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+ - 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+ - NCT07590362Recruiting
Testing breathing readiness measures in ventilated COPD patients
This study compares two methods of measuring whether patients with COPD who are on breathing machines are ready to breathe on their own. The goal is to find the best way to predict which patients can successfully come off the ventilator.
Sohag, Sohag GovernorateAges 18 years+ - NCT07595718Recruiting
AI Study of Disease Patterns and Health Data
This research uses artificial intelligence to analyze health information from adults to better understand and predict when major diseases like diabetes, heart disease, and cancer might develop. Your participation could help scientists discover new patterns that improve early detection.
Seoul, Seoul Special CityAges 30–60 - 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+ - 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 - 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+ - 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 - 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+ - 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+ - 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 - NCT07614256Recruiting
Imaging and pathology analysis to predict prostate cancer
This study uses advanced imaging scans (MRI and ultrasound) and lab analysis of tissue samples to better predict prostate cancer. If you've had or are planning a prostate biopsy or surgery, your imaging and tissue results could help doctors develop better tools to diagnose prostate cancer.
Liuzhou, GuangxiAges 40–90 - NCT07616349Recruiting
Testing Blood Clotting in Pregnant Women With Low Platelets
This study tests a machine called ROTEM Sigma that measures how well your blood clots, specifically in pregnant women who have or may have low platelet counts (cells that help blood clot). The goal is to help doctors better predict bleeding problems during or after delivery.
MadridAges 18 years+ - NCT07617025Recruiting
Understanding Breast Cancer Subtypes in BRCA Carriers
This study examines how different molecular subtypes (patterns of genes and proteins) of breast cancer behave in people with BRCA1 or BRCA2 mutations. By studying tumor samples and medical records, researchers hope to better predict which treatments will work best and predict long-term outcomes for BRCA-positive breast cancer patients.
GenovaAges 18 years+ - NCT07617272RecruitingPhase 2
Testing a drug to shrink high-risk prostate cancer before surgery
This trial tests whether a hormone-blocking drug called darolutamide can shrink aggressive prostate cancer before surgery. Researchers will also use a special blood test to predict who benefits most from the treatment.
GothenburgAges 18 years+ - NCT07621445Recruiting
Understanding Genetic Risk in Recently Diagnosed Diabetes
This study looks at genetic factors in people recently diagnosed with diabetes to understand what might predict who needs insulin treatment. Researchers will analyze blood samples and medical information to see if genetic testing could help doctors predict your treatment path.
Changsha, HunanAges 14–50 - NCT07633184Recruiting
Lung Ultrasound to Predict Breathing Problems in Premature Babies
This study uses ultrasound images of the lungs to see if doctors can predict which very premature babies will develop bronchopulmonary dysplasia (BPD)—a chronic lung condition common in extremely premature infants. The goal is to identify at-risk babies early so they can receive targeted treatment.
ModenaAges Up to 7 months
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,118 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.