Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,121 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT05321459Recruiting
Testing outcome prediction in comatose patients after cardiac arrest
This study looks at tests that may help predict outcomes in people who remain in a coma 3 to 7 days after surviving a cardiac arrest. It may help doctors better estimate recovery and guide care decisions.
BobignyAges 18 years+ - NCT05328024Recruiting
Testing who benefits from anti–PD-1 immunotherapy in head cancer
This study looks for signs in your tumor that can predict how well anti–PD-1 immunotherapy will work for certain head and neck cancers. You may benefit by helping doctors match the right treatment to the right patients.
Strasbourg, FranceAges 18 years+ - NCT05332925Recruiting
Tumor samples grown in dishes to predict immunotherapy response
This study takes small biopsy samples of your lung cancer and grows them in a dish to predict how well immunotherapy will work. If you qualify, you’ll receive standard immunotherapy (anti-PD-1/L1, with or without anti-CTLA-4), and the results from the dish-grown tumors will be compared to your real-world response.
Fairway, KansasAges 18–110 - NCT05358067Recruiting
Testing a symptom rating tool after recent trauma
This study looks at how well a clinician’s rating scale (a questionnaire-based score) matches patients’ symptoms after a traumatic event. It may help improve how quickly and accurately symptoms are tracked in the days after trauma.
ArrasAges 18 years+ - NCT05369130Recruiting
Predict pain after major aortic surgery
This study tries to understand and predict persistent pain after elective surgery on the thoraco-abdominal aorta (a major blood vessel in the chest and belly). The goal is to learn what factors may help patients have less long-lasting pain after surgery.
LondonAges 18 years+ - NCT05375370Recruiting
Testing a blood test to predict liver cancer coming back
This study checks whether a blood test (circulating tumor DNA) can help predict if hepatocellular carcinoma (HCC) will return after curative treatment like surgery or ablation. If it works, it may help doctors plan closer follow-up or earlier treatment if recurrence risk is higher.
RouenAges 18 years+ - NCT05384392Recruiting
Blood and brain-marker study after a first psychotic episode
This study looks at whether special body and brain markers can predict how a person’s symptoms change over two years after a first psychotic episode. It may also help doctors understand who responds better to treatment, so future care can be more personalized.
AngersAges 15–30 - NCT05389774Recruiting
Testing an AI tool that predicts lung cancer risk from CT scans
This study tests whether Optellum’s AI prediction tool can better identify which lung nodules found on CT scans are more likely to be cancer. You may be asked to provide specific types of CT images so the tool can be evaluated.
BangorAges 35 years+ - NCT05392413Recruiting
Predicting who benefits from PD-1 antibody for esophageal cancer
This study uses an “immune indicator model” to help predict how well a PD-1 antibody (a cancer-fighting immune drug) works when combined with chemotherapy for stage IV esophageal squamous cell cancer. If you qualify, you receive the treatment and the researchers also look for immune-related signs that may explain who benefits most.
GuangzhouAges 18–75 - NCT05404321Recruiting
Collecting tumor samples to study triple-negative breast cancer treatments
This study collects tumor tissue from people with early-stage triple-negative breast cancer before they start neoadjuvant chemotherapy. The goal is to help researchers test new therapies and look for markers that may predict who benefits.
CaenAges 18 years+ - NCT05405270Recruiting
Testing how well imiquimod works for abnormal cervix cell changes
This study looks for ways to predict who will respond to imiquimod cream for precancerous cervical cell changes (CIN2 or CIN3). Results may help doctors choose the best treatment approach and better plan follow-up.
BredaAges 18 years+ - NCT05408897Recruiting
Blood test to predict risk after surgery for high-risk GIST
This study uses a “liquid biopsy” blood test to look for leftover cancer signals after surgery. It aims to predict how well treatment will work and how likely the cancer is to come back in people with high-risk GIST.
Beijing, Beijing MunicipalityAges Any age - NCT05429983Recruiting
Predicts results from Inspire tongue-stimulation for sleep apnea
This study looks at how breathing mechanics during a sleep-related test (DISE) can help predict how well Inspire tongue (hypoglossal nerve) stimulation will work. It may help your care team choose the best approach and set expectations for improvement.
Baltimore, MarylandAges 18 years+ - NCT05447325Recruiting
Brain scans to study vaping to smoking risk
This study uses brain imaging to better predict who might start smoking cigarettes and who might increase nicotine use among young adult e-cigarette (vaping) users. It may help researchers find early warning signals so support can be targeted sooner.
Athens, GeorgiaAges 18–29 - NCT05448703Recruiting
Predicting radiation lung injury after lung cancer treatment
This study looks at ways to predict who will develop radiation pneumonitis (lung inflammation after radiation) and how outcomes vary. It may help doctors better watch and treat lung side effects after lung cancer radiation.
Wuhan, HubeiAges 18 years+ - NCT05479617Recruiting
Predicting ulcerative colitis flare course using personal data
This study tries to better predict how an ulcerative colitis flare will progress by using a mix of your medical information. If you are eligible, your flare details may help researchers build tools that guide future care.
Hvidovre, DenmarkAges 18 years+ - NCT05479448Recruiting
Tracking what predicts response in new PMR or GCA
This study looks at people newly diagnosed with polymyalgia rheumatica (PMR) or giant cell arteritis (GCA) and uses their health and treatment information to learn what predicts how well treatment works. It may help your care in the future by improving which patients respond best and how.
BaselAges 18 years+ - NCT05491031Recruiting
MRI scan study to predict disability changes in MS
This study uses MRI scans to predict how quickly disability may worsen in people with multiple sclerosis (MS). It may help doctors spot people at higher risk of progression earlier.
PoitiersAges 18 years+ - NCT05505188Recruiting
Predicting long-term pain after head and neck radiotherapy
This study looks for ways to predict and improve pain you may have months after radiotherapy for first head and neck cancer. It may help doctors better anticipate pain and support patients during recovery.
CaenAges 18 years+ - NCT05516628RecruitingPhase 2
Adjuvant atezolizumab plus bevacizumab after liver cancer surgery
This trial studies whether adding atezolizumab and bevacizumab after complete liver cancer surgery can lower the chance the cancer comes back. It also uses “multi-omics” tests (special lab tests on your tissue/blood) to help predict who is more likely to respond or resist treatment.
SingaporeAges 21–90 - NCT05518305Recruiting
Predicting recurrent stroke risk in people with artery narrowing
This study looks at blood markers and brain/artery scan results to predict who with intracranial artery narrowing is more likely to have another stroke. It may help doctors spot higher-risk people earlier and better target prevention.
Los Angeles, CaliforniaAges 30 years+ - NCT05523245Recruiting
AI MRI test to predict treatment response in rectal cancer
This study uses an AI computer program to read special MRI images and predict how well treatment (given before surgery) will work for people with locally advanced rectal cancer. It may help doctors better plan who benefits most from neoadjuvant therapy (treatment before surgery).
Guangzhou, GuangdongAges 18 years+ - NCT05527795Recruiting
Study features that predict benefit from extra immunotherapy in melanoma
This study looks for lab and tumor features that may help predict who benefits from follow-up (adjuvant) immunotherapy after surgery for melanoma. Your past treatment and tumor samples may be used to improve future treatment decisions.
Pierre-BéniteAges 18 years+ - NCT05542056Recruiting
Test urine markers to predict low sodium from water pills
This study looks for a signal in your urine that could help predict who will develop low blood sodium (hyponatremia) after starting a thiazide-type “water pill.” It may help doctors spot higher-risk people early and adjust care sooner.
MóstolesAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,121 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.