Clinical trials
Learning clinical trials
Below are recruiting learning clinical trials, each written for real people, not researchers. We’re tracking 631 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07532928Enrolling by invitation
Personalized Post-Surgery Care Plan for Advanced Head and Neck Cancer
This study helps doctors create a personalized plan for follow-up treatment after surgery for advanced head and neck cancer. Researchers will use imaging scans and patient data to predict which patients need extra treatment and which ones can be monitored closely instead.
GuangzhouAges 18 years+ - NCT07454785Enrolling by invitation
How the brain learns new patterns
This study looks at how the brain learns and uses patterns. If you have epilepsy that requires brain monitoring, you may be able to join and help researchers understand memory and thinking.
Los Angeles, CaliforniaAges 18 years+ - NCT07379853Enrolling by invitation
Online training for therapists in exposure therapy
This trial tests an online training program to help therapists learn exposure therapy for anxiety. It may improve your skills in treating anxiety disorders.
Riverside, Rhode IslandAges 21–99 - NCT07377266Enrolling by invitation
New diabetes clinic for children and families
This study tests a new way of managing diabetes in children that involves the child early in their care, helps families stay calm during treatment, promotes a healthy lifestyle, and connects families with peers for support. The goal is to see if this approach improves outcomes for the whole family.
HerlevAges 3–10 - NCT07373951Enrolling by invitation
Predicting cancer gene status from MRI scans in brain metastasis
This trial uses brain MRI scans and deep learning to predict whether non-small cell lung cancer that has spread to the brain has certain gene changes (EGFR or ALK). Knowing this may help guide treatment without needing additional tissue testing.
Beijing, Beijing MunicipalityAges 18 years+ - NCT07285434Enrolling by invitationEarly Phase 1
Personalized vaccine for first-line advanced lung cancer
This study tests a personalized vaccine (Microlyvaq™) made just for your tumor, given together with standard chemo and immunotherapy (pembrolizumab). It is for people with advanced non-small cell lung cancer who have not yet started treatment for the advanced stage.
Thessaloniki, MacedoniaAges Any age - NCT07228819Enrolling by invitation
Garden education wellness program for early care centers
This trial tests whether garden-based learning activities can improve health and wellness in early care and education settings. It involves teachers, children, and parents at participating centers.
Phoenix, ArizonaAges 3 years+ - NCT07222930Enrolling by invitation
Learning about amyloid and tau test results
This study helps people understand their results from brain scans that measure amyloid and tau proteins, which are linked to Alzheimer's disease. It is for adults 45 and older who are part of specific Alzheimer's research programs and have no dementia diagnosis.
Madison, WisconsinAges 45–89 - NCT07180797Enrolling by invitation
Training urologists on a new robot for prostate surgery
This study tests a training program for urologists and urology residents to learn how to use a new Hugo RAS robot for nerve-sparing prostate removal. It aims to see if the program helps them gain the skills they need.
MelleAges 18 years+ - NCT07096232Enrolling by invitation
AI vs doctor for eye surgery and keratoconus diagnosis
This study compares an AI system to a specialist eye doctor to see which is better at diagnosing vision problems like nearsightedness, farsightedness, astigmatism, and keratoconus. Your existing medical records will be used to see how well the AI performs.
Cairo, MaadiAges Any age - NCT07047937Enrolling by invitation
Machine learning to predict early gastric cancer
This study uses machine learning to find patterns in patient data that might help predict early-stage stomach cancer. It could help doctors catch the disease sooner.
Wenzhou, ZhejiangAges Any age - NCT06923319Enrolling by invitation
Learning curve for vaginal birth on a mannequin
This trial studies how quickly doctors learn to use different tools for vaginal delivery by practicing on a mannequin. It may help improve training for residents and specialists.
Chieti, CHAges 24–70 - NCT06893198Enrolling by invitation
Controlling high blood pressure in urban Vietnam
This study tests a program to help people in urban Vietnam lower their high blood pressure. It uses storytelling to share tips and support for managing blood pressure at home.
Hanoi, VietnamAges 18 years+ - NCT06823024Enrolling by invitation
Using speech patterns to predict treatment response in depression, PTSD, or bipolar disorder
This study tests if a computer algorithm can analyze your speech to predict how well you will respond to treatments like TMS or Spravato. It aims to create a simple tool that helps doctors choose the right treatment for you.
Sunnyvale, CaliforniaAges 18–68 - NCT06749145Enrolling by invitation
Using deep learning to find aortic stenosis earlier
This study tests if a deep learning tool can help detect aortic stenosis, a heart valve condition, in older adults during routine primary care visits. If you are 70 or older and have not had a recent echocardiogram, you may be able to join.
New Haven, ConnecticutAges 70 years+ - NCT06749132Enrolling by invitation
AI-powered monitoring for mild aortic valve disease
This study uses an artificial intelligence (AI) program to analyze past heart ultrasound images and predict if your aortic valve condition (mild thickening or narrowing) may get worse over time. The goal is to catch changes early and personalize your follow-up care.
New Haven, ConnecticutAges 65 years+ - NCT06736769Enrolling by invitationPhase 2
Ketamine and learning in eating disorders
This study tests whether a single dose of ketamine can help people with anorexia nervosa learn new ways of thinking about food and body image during recovery. You may be eligible if you are a teenager or young adult currently hospitalized for malnutrition.
San Francisco, CaliforniaAges 16–26 - NCT06682455Enrolling by invitation
Predicting AMD progression with advanced scans and AI
This study is looking at people with intermediate AMD who previously took part in the PINNACLE study. It will use advanced eye scans and machine learning to learn more about how AMD progresses and how to predict it.
ViennaAges Any age - NCT06675409Enrolling by invitation
Virtual patient training for paramedic students
This trial tests whether expert-guided training with virtual patients helps paramedic students learn better compared to self-learning. If you are a 4th-semester paramedic student with no prior experience in these scenarios, you may be eligible.
IstanbulAges 19–21 - NCT06461468Enrolling by invitation
AI study for hypertrophic cardiomyopathy using heart tests
This study uses artificial intelligence to analyze ECGs and echoes from people with hypertrophic cardiomyopathy (HCM) to improve how the disease is detected and managed. If you have HCM with a thickened heart wall and available heart tests, you may help train the AI.
Fairhope, AlabamaAges 18 years+ - NCT06447532Enrolling by invitation
Machine learning to track inflammation in breast cancer
This study uses a computer program to look at blood test results from women treated for breast cancer. The goal is to see if patterns in inflammation markers can help predict outcomes.
Buenos Aires, Buenos AiresAges 18–75 - NCT06444425Enrolling by invitation
AI test for heart function using ultrasound
This trial uses artificial intelligence to analyze heart ultrasound images. It aims to see if AI can detect heart function better than standard methods. You may be eligible if you are a cardiology patient having an ultrasound and can return for extra blood pressure checks.
Yiwu, ZhejiangAges 18 years+ - NCT06030466Enrolling by invitation
Virtual vs. Real Patients for Med Student Training
This trial compares how well medical students learn with virtual standardized patients versus real actors. If you are a medical student at National Taiwan University without prior virtual patient software experience, you may be eligible.
TaipeiAges Any age - NCT06017505Enrolling by invitation
Using eSAGE for early detection of cognitive decline
This study uses a simple computer-based self-assessment (eSAGE) to detect early signs of memory or thinking problems. It may help identify cognitive impairment sooner and track changes over time.
Columbus, OhioAges 50 years+
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Common questions
- Are there clinical trials for learning?
- Yes. Clin2 currently lists 631 recruiting learning 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 learning 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 learning 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.