Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,116 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07483047Recruiting
Predicting memory changes after heart surgery in older adults
This study looks at older adults having heart surgery to find out who might have trouble thinking or remembering afterward. Researchers hope to build a tool to predict this risk so doctors can help sooner.
ShanghaiAges 65 years+ - NCT07485621Recruiting
Using brain signals to improve deep brain stimulation for Parkinson's
This study uses brain signals (called local field potentials) from the deep brain stimulation (DBS) device to see if they can predict how well the treatment is working. It aims to help doctors adjust DBS settings more precisely for people with Parkinson's disease.
Leuven, Vlaams-BrabantAges 18 years+ - NCT07167771Recruiting
Saliva markers for gum disease: a follow-up study
This study follows up with people who already took part in a previous saliva and gum health study. Researchers want to see if certain substances in saliva can predict gum disease progression over time.
MadridAges 18 years+ - NCT06617377Recruiting
Can MRI predict brain recovery after cardiac arrest?
This study uses brain scans (MRI) to try to predict whether people who are still unconscious after a cardiac arrest will recover. It is looking for adults who are in a coma and have not woken up after being taken off sedation medicines for at least three days.
ToulouseAges 18 years+ - NCT07327489Recruiting
Live tumor biopsy study to predict immunotherapy response
This trial studies how well immunotherapy might work by analyzing fresh tumor biopsies. It may help predict which treatments are best for your cancer.
Fort Smith, ArkansasAges 18 years+ - NCT07499947Recruiting
Predicting low blood pressure during C-section
This trial looks at whether we can predict which pregnant women will have a sudden drop in blood pressure during a cesarean section. If you're a healthy pregnant woman with a full-term single baby, this study could help improve safety.
KayseriAges 1.5 years–3.8 years - NCT07507708Recruiting
Smart insulin system with behavior support for type 1 diabetes
This study tests a smart insulin pump and continuous glucose monitor system that adjusts insulin automatically and uses behavior support to improve blood sugar control. It's for people with type 1 diabetes who have used an approved automated insulin delivery system recently and are willing to use study devices.
Charlottesville, VirginiaAges 18 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+ - NCT07510854Recruiting
Sentence prediction in language disorder study
This study tests how children with developmental language disorder predict sentences. It compares their performance to typical children to better understand language processing.
Omaha, NebraskaAges 5–7 - NCT07511270Recruiting
Predicting thinking skills from speech using AI
This study uses an AI tool to analyze short stories you tell aloud, to see if it can predict your thinking and memory test scores. It may help develop a simpler way to check cognitive health.
TaoyuanAges 50 years+ - NCT07512167Recruiting
Predicting tetanus survival outcomes using severity scores
This study helps doctors better predict which tetanus patients are at highest risk of dying in the hospital. Researchers will use special scoring systems to identify the most severe cases early so treatment can be adjusted.
CairoAges 18 years+ - NCT07514052Recruiting
Predicting Response to Selinexor Treatment in Relapsed Multiple Myeloma
This study tests whether doctors can predict which patients with relapsed or hard-to-treat multiple myeloma will respond well to a drug called selinexor. Researchers will collect blood and bone marrow samples to identify markers that help personalize treatment decisions.
Taiyuan, ShanxiAges 18 years+ - 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+ - 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 - 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+ - 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+ - 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 - 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+ - 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+ - 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+ - 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.
Istanbul, EyupsultanAges 10–18 - 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
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,116 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.