Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,127 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT05720663Recruiting
Predicting liver outcomes in fatty liver cirrhosis
This study looks at how to predict future outcomes in adults who have fatty-liver disease (NAFLD) that has progressed to cirrhosis. It may help doctors better estimate risk and plan care, using information from liver tests and scans.
Rochester, MinnesotaAges 18 years+ - NCT05722275Recruiting
Predicting peritoneal spread in advanced stomach cancer
This trial uses CT scan images and a look inside the abdomen (laparoscopy) to predict whether advanced stomach cancer has spread to the lining of the abdomen (the peritoneum). It may help your care team better identify who already has peritoneal spread and who might not.
BeijingAges 18 years+ - NCT05736029Recruiting
Using blood and tumor data to predict cancer treatment response
This study looks at “multiomics” information (many types of biological data, like blood and lab markers) to predict how well cancer treatments may work for you. It may help doctors choose better treatments in the future based on what your body is doing during therapy.
Dallas, TexasAges 18 years+ - NCT05738083Recruiting
Study builds prediction tools after aneurysm bleeding
This study looks at early test results and brain scans to predict outcomes after an aneurysm causes subarachnoid hemorrhage. It mainly collects information to build a risk prediction model, which may help doctors plan care more effectively in the future.
Nanchang, JiangxiAges 18 years+ - NCT05763277Recruiting
Predicting early response to atezolizumab plus bevacizumab
This study tries to predict how well your cancer responds early after starting a treatment called atezolizumab plus bevacizumab. If you qualify, your information may help doctors choose better treatments sooner for people with advanced liver cancer.
SeoulAges 18–80 - NCT05769517Recruiting
Using ultrasound to predict BRCA genes from healthy ovaries
This study looks at whether pictures from a vaginal (transvaginal) ultrasound of a healthy ovary can help predict whether someone carries BRCA1 or BRCA2 gene changes. It may help identify people who could benefit from more genetic testing, without needing new ultrasound images.
RomeAges Any age - NCT05770622RecruitingPhase 4
Vancocin dosing check in young infants with infections
This trial studies a better way to monitor and adjust vancomycin (an antibiotic) dosing in very young infants. It may help your baby get the right dose while reducing the risk of under- or over-dosing.
Melbourne, VictoriaAges birth–3 months - NCT05793034Recruiting
Study factors that predict survival after aggressive meningioma surgery
This study looks at people who had surgery for more aggressive meningiomas (grade 2 or 3) and tries to learn what factors relate to survival. The results may help doctors better predict outcomes for future patients.
RomeAges 18 years+ - NCT05795842Recruiting
Detecting atrial fibrillation after stroke using a wrist monitor
This study checks whether a special wrist device can detect an irregular heartbeat (atrial fibrillation) in people who recently had a stroke with an unclear cause. It may help doctors find the cause earlier and tailor follow-up care.
Atlanta, GeorgiaAges 55 years+ - NCT05800821Recruiting
Predicting brain blood-flow problems after carotid surgery
This study uses deep learning to predict which people are at risk for “cerebral hyperperfusion syndrome” (a dangerous spike in brain blood flow) after carotid revascularization. If you qualify, they’ll use scans/tests to estimate your risk so doctors can watch you more closely if needed.
MinskAges 30–80 - NCT05802069Recruiting
Personalized cancer treatment based on your medical profile
This trial is studying a way to help guide individualized cancer treatment using your existing medical information. If you receive cancer care at the specific study sites, you may be able to enroll.
Milwaukee, WisconsinAges 18 years+ - NCT05806762Recruiting
Wearable patch study to predict sepsis rehospitalization
This study uses a wearable skin patch placed on you during a sepsis hospital stay to help predict whether you might need to be readmitted after discharge. It may help doctors identify who is at higher risk of rehospitalization and plan follow-up care earlier.
San Diego, CaliforniaAges 18 years+ - NCT05808153Recruiting
Brain scans and thinking tests to track Huntington’s progression
This study uses special brain imaging and memory/thinking tests to find early “markers” that can predict how Huntington’s disease will progress over time. You may qualify as someone with early-stage Huntington’s or as a healthy control, if you meet specific safety and scoring requirements.
Créteil, Île-de-France RegionAges 18–65 - NCT05817747Recruiting
Using big data to predict outcomes after spine surgery
This study collects information from people having surgery for problems in the lower (lumbar) or neck (cervical) spine. It tests whether using “big data” from routine care can help predict surgical outcomes and improve future decisions.
Ängelholm, Skåne CountyAges 18 years+ - NCT05825950Recruiting
AI tool for predicting outcomes in bladder cancer
This trial tests an artificial-intelligence (AI) tool that uses your bladder cancer details to help predict outcomes. It may help doctors better choose the next treatment after bladder cancer is found early (non-muscle invasive).
Dallas, TexasAges 18–99 - NCT05839756Recruiting
Predicting throat swelling after jaw surgery removal of a breathing tube
This trial studies how to predict who is most likely to develop a noisy, tight throat (stridor) after doctors remove the breathing tube following a jaw-stabilizing surgery. It may help clinicians spot higher-risk patients earlier so they can take preventive steps.
Al Mansurah, MansouraAges 18 years+ - NCT05856565Recruiting
AI study using skin scar images to predict anti-PD-1 response
This study tests an artificial intelligence (AI) tool that looks at images of skin “peri-scar” areas to predict how well anti-PD-1 immunotherapy will work. It may help doctors better choose treatment for people with hard-to-operate (inoperable) melanoma or certain skin cancers.
Besançon, Bourgogne-Franche-ComtéAges 18 years+ - NCT05865977Recruiting
Test a breathing check to prevent breathing tube failure in preemies
This study checks a specific bedside breathing test (called an SBT) to see if it can better predict when a premature baby is likely to fail extubation (having the breathing tube removed). If the test is accurate, it may help doctors time tube removal more safely and reduce complications.
Chongqing, Chongqing MunicipalityAges 2 days–6 months - NCT05866575Recruiting
Brain-modeling trial to predict depression treatment response
This trial uses computer modeling based on brain measurements to try to predict which depression treatment will work for you. It may help match you with the most effective option faster by understanding your motivation-related brain patterns.
La Tronche, IsèreAges 18 years+ - NCT05876598Recruiting
Predict bloodstream infection risk using a computer model
This study builds and tests a computer (machine-learning) model to predict bloodstream infections based on what happens in the first days of care. It may help doctors start the right antibiotic faster for patients who truly have an infection.
RomeAges 18 years+ - NCT05898269Recruiting
Predicting fluid needs while lying face down in ARDS
This study tests a way to predict whether you will benefit from a fluid bolus (a small amount of IV fluid) while you are lying face down for ARDS. It uses continuous heart monitoring to guide or evaluate fluid decisions and may help clinicians avoid too much or too little fluid.
Clermont-FerrandAges 18 years+ - NCT05906069Recruiting
Internet CBT program study for OCD patients
This trial studies whether an online version of cognitive behavioral therapy (CBT, a structured talk-therapy approach) helps people with obsessive-compulsive disorder (OCD), and tries to predict who will benefit most. It may help by improving treatment planning and matching therapy to the right person.
Braga, GualtarAges 18–65 - NCT05916755Recruiting
Testing tumor clues that predict response to immunotherapy
This study looks for “biomarkers,” or tumor clues, that may help predict who benefits from checkpoint inhibitor immunotherapy in triple-negative breast cancer. It may help doctors choose the right treatment approach in the future, especially when chemotherapy is planned.
BarcelonaAges 18 years+ - NCT05917275RecruitingPhase 4
Testing tests to predict how you’ll respond to blood pressure medicines
This study uses blood and other body measurements to predict how well certain blood pressure medicines will work for you. It may help doctors choose the best treatment sooner, based on your personal “multi-omics” (biomarker) results.
NijmegenAges 18–75
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 1,127 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.