Condition
Prognosis clinical trials and research
As of November 12, 2026, Find a Trial lists 14 Prognosis clinical trials that are recruiting, at sites in 5 countries (most in China (9), France (3), Reunion (1)). There are also 120 NIH-funded research projects on Prognosis, with $68.6 million in listed awards. Every study is explained in plain English. Data from ClinicalTrials.gov and NIH RePORTER, updated November 12, 2026.
- 14Clinical trials
- 120NIH research projects
- 5Countries
Newest Prognosis clinical trials
All recruiting trials (14)
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Cardiac MRI-based prediction tool for outcomes in dilated cardiomyopathy
This project will test whether adding multi-parameter stress perfusion cardiac MRI to routine clinical data can better predict which people with dilated cardiomyopathy will go on to develop heart failure, arrhythmias, hospitalizations, or death.
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Long-term outcomes of primary biliary cholangitis in China
This project will follow about 4,000 people in China with primary biliary cholangitis to see how symptoms, disease stage, and treatments affect long-term survival.
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A kidney cancer prediction model to guide treatment decisions, including for patients with tumor thrombus
This project will test whether a new prediction model can guide treatment choices to improve survival for adults with renal cell carcinoma, including those with venous tumor thrombus.
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Bone grafting at implant removal to help success of putting a new implant in the same spot
This study tests whether doing bone grafting at the same time as removing a failed dental implant helps people who plan to get a new implant in the same location.
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Using cardiac MRI and AI to predict outcomes after STEMI
This project will try to use routine cardiac MRI scans plus AI to see if imaging features can predict long-term outcomes in people who had a STEMI treated with primary PCI.
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Predicting recovery after thrombolysis and thrombectomy using brain scan scores
This project will see if combining standard brain imaging scores can predict 90-day recovery and vessel reopening in adults who had an acute ischemic stroke treated with clot-busting medicine and clot removal.
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Effect of positioning after surgery on chronic subdural hematoma recurrence
This study tests if lying in a specific position after surgery can help prevent chronic subdural hematomas from coming back in patients.
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Assessing treatments for difficult-to-treat Pseudomonas infections
This study is testing different antibiotic treatments for tough Pseudomonas infections to see which ones work best for patients needing intravenous therapy.
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Using sequencing to predict outcomes of pneumonia in ventilated patients
This study is testing if analyzing germs in the lungs of patients on ventilators can help predict how well they will recover from pneumonia.
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Investigating serum FGF19 levels for predicting outcomes in biliary atresia
This study is testing if measuring a specific protein in the blood can help doctors predict how well children with biliary atresia will do after surgery.
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Investigating the link between obstructive sleep apnea and pulmonary hypertension
This study looks at how common sleep apnea is in adults with pulmonary hypertension and how it affects their health.
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Erector spinae plane block for managing pain after breast cancer surgery
This study is testing if a special nerve block combined with a medication can help reduce pain and improve recovery for women after breast cancer surgery.
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Long-term follow-up on the prognostic value of BNP in heart failure patients with mechanical support
This study is trying to see if a blood test called BNP can help predict how well heart failure patients with mechanical support will do over the long term compared to those who have had a heart transplant or are on medication.
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Analyzing blood clots in stroke patients to improve treatment outcomes
This study looks at the blood clots from stroke patients who had a procedure to remove them to see if understanding their makeup can help improve treatment and outcomes.
NIH-funded research (newest 40 of 120)
Early-stage science funded by the US National Institutes of Health. Most of these projects don't enroll patients, but they show what is being worked on.
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Colorectal cancer prognosis through a broad, collaborative study
A large, multi-center study follows people newly diagnosed with colorectal cancer to find biomarkers and patterns that predict outcomes and guide future care.
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AI-powered digital pathology to tailor cancer treatment decisions
A team at Emory is building an AI-powered platform that analyzes cancer slides to help doctors choose the right therapies and avoid unnecessary chemotherapy or radiation for patients.
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Harnessing the body's response to leptospirosis to aid diagnosis and prognosis
This grant aims to develop new ways to detect leptospirosis earlier and predict how severe it might become by studying the body's own response.
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Harnessing the body’s response to Leptospirosis to improve diagnosis and prognosis
A research program at UCLA aims to use how the body responds to leptospirosis to make better diagnoses and predict outcomes for patients.
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Harnessing the body's response to a dangerous infection to help diagnose and predict outcomes
A large, multi-project effort aims to use how the body reacts to leptospirosis to improve diagnosis and prognosis for patients affected by this infection.
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Harnessing the body’s response to leptospirosis for diagnosis and prognosis
A multi-site team is working to develop how the body naturally responds to leptospirosis to improve how we diagnose the infection and predict its course.
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AI-powered tool to better predict and manage acute pulmonary embolism
A new AI system uses imaging and patient data to improve how doctors predict short-term risk and tailor treatment for people with acute pulmonary embolism.
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New Methods to Understand How Genes and Environment Shape Cancer Outcomes
A cancer research project at Yale is developing advanced computer methods to better predict how genes and environmental factors influence cancer prognosis.
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Air pollution and breast cancer outcomes in Black women
This project looks at how outdoor air pollution may affect survival, quality of life, and inflammation for Black women living with breast cancer.
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AI-powered pathology platform to personalize cancer therapy
An AI-based tool analyzes patient tissue images to help doctors decide which cancer patients truly need or can skip certain chemotherapy or radiation treatments.
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Integrating race and ancestry to understand cancer risk and outcomes
A large cancer research grant aims to study how genes linked to race and ancestry influence cancer risk, progression, and patient outcomes.
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Multimodal Tools to Diagnose and Predict Risk in Alcohol- and Metabolic-Related Liver Diseases
A Mayo Clinic-led study will use advanced computer analysis of multi-omics data and tissue images to improve diagnosis and prognosis for ALD, MASLD, and MetALD.
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Secure platform to study HIV prognosis and treatment effectiveness across the U.S., Canada, and Europe
A secure data platform will help researchers learn how people living with HIV fare over time and which ART regimens work best, across North America and Europe.
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Plasma biomarker clues to HIV reservoir activity in people on ART
Researchers will look for blood protein signals that relate to hidden HIV activity in people on antiretroviral therapy.
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Ultrasensitive detection of circulating DNA methylation to guide head and neck cancer prognosis
A new blood-based test will look for tiny DNA methylation signals in people with head and neck cancer to better predict who’s at higher risk of poor outcomes.
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Anti-Xist antibodies in autoimmune diseases: a new diagnostic and prognostic tool
A Stanford-led study will test autoantibodies against the female-specific XIST complex to improve diagnosis and prediction of disease course in lupus, scleroderma, and dermatomyositis.
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Label-Free Optical Redox Imaging to Predict Outcomes in Early-Stage Triple-Negative Breast Cancer
A new imaging approach uses intrinsic signals to spot metabolic differences in untreated early-stage TNBC tumors to help predict how the cancer may behave.
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DNA methylation-based blood biomarkers to predict prognosis and treatment response in glioma patients
A patient-facing summary: researchers will use blood-based DNA methylation markers to help predict how glioma patients might fare and respond to treatments.
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Harnessing the body’s response to leptospirosis for diagnosis and prognosis
A research project at a major university aims to develop blood tests that use how the body responds to leptospirosis to quickly diagnose the infection and predict how severe it will be.
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Precursors of Stroke Incidence and Prognosis
This grant explores how life-long vascular risk factors and stroke-related brain changes influence the risk of cognitive problems, including Alzheimer’s-type dementia, in diverse adults.
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ColoCare: following people with colorectal cancer to find blood and microbiome signs
This project follows people newly diagnosed with colorectal cancer and collects blood, stool, urine, and tumor samples to find markers that help predict outcomes.
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DNA methylation clues to predict and guide ACC treatment
This project looks at DNA methylation patterns in adenoid cystic carcinoma (ACC) to find markers that predict how aggressive the cancer will be and how patients might respond to therapy.
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Chronic Kidney Disease Prognosis Consortium: Advancing Kidney Disease Care Worldwide
A global group of researchers is building better ways to predict how CKD progresses and how it affects health, with the aim of guiding care for adults around the world.
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New multi-modal ultrasound imaging to monitor tissue healing over time
A ultrasound-based method is being developed to predict how well tissues heal and to track healing over time, without dyes or radiation.
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AI-powered pathology tool to predict cancer outcomes and who will benefit from treatment
Using artificial intelligence on routine pathology slides to predict which cancer patients are likely to benefit from additional treatments and which might safely receive less therapy, especially where expensive gene tests aren't available.
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Understanding why patients with advanced cancer feel obliged to continue disease-directed treatment
Many patients with advanced cancer receive harsh treatments at the end of life due to perceived social pressures, even when benefits are unlikely.
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Multimodal AI to predict glaucoma progression and guide care
A big-data AI tool uses eye images, scans, field tests, and health info to help predict who with open-angle glaucoma is at higher risk of vision loss so doctors can act sooner.
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Migraine prognosis in adolescents
This study follows adolescents with migraine to understand why some get better, worse, or stay the same over puberty and what neural, hormonal, and psychological factors influence those changes.
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Personalized AI to predict sudden kidney injury
This project uses personalized machine learning on hospital records to predict which hospitalized patients are likely to develop acute kidney injury so clinicians can act sooner.
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How middle-ear fluid affects children's hearing and development
The team will compare children with middle-ear fluid who have little or no hearing loss to those with larger hearing losses to find which kids need treatment to protect speech, language, and listening skills.
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Blood transcriptomics in ALS to help diagnose, predict course, and guide drug discovery
Researchers will study blood gene expression patterns in people with ALS to find signatures that could help diagnose the disease earlier, predict how it will progress, and point to potential treatments.
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Multimodal AI to screen and predict eye disease progression
A big AI project aims to use eye images and doctor notes to help screen for and predict how eye diseases like age-related macular degeneration, diabetic retinopathy, and glaucoma may progress.
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Body fats and immune signals shaping bladder cancer outlook
This study will look at how body composition and immune/inflammatory states at diagnosis relate to the outlook for people with non-muscle-invasive bladder cancer.
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Chronic mitochondrial division and melanoma: how it drives cancer and how to treat it
A cancer-focused project explores how mitochondrial division affects melanoma and whether targeting this process could improve therapy.
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Blood and airway microbe and gene tests to find and predict early non-small cell lung cancer
This project looks for microbial and host gene signals in blood and airway samples to help spot early non-small cell lung cancer and predict who might have the cancer come back.
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How blood pressure and heart rate recovery after everyday stresses relate to vascular health and early brain aging
This work looks at whether how your blood pressure and heart rate bounce back after everyday stresses can signal higher risk for heart disease, organ damage, memory decline, or early Alzheimer's.
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Blood exosome markers to predict treatment response in head and neck cancer
This project looks at tiny particles in blood called exosomes to help predict how people with head and neck cancer will respond to treatment and what their likely outlook is.
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How where you live affects colorectal cancer outcomes over time
This research looks at how a person’s home environment and neighborhood changes over time relate to colorectal cancer prognosis and survival, especially among Black patients.
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Personalized stroke risk prediction for atrial fibrillation patients using advanced data and models
Aims to create a personalized, easy-to-use tool that predicts stroke risk for people with atrial fibrillation using big health data and transparent machine-learning methods.
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Blood test to track and predict neuroblastoma outcomes
This project uses a blood test that looks for tumor DNA signals to help doctors predict outcomes and monitor children with neuroblastoma.
Related topics
Quick answers
How many Prognosis clinical trials are recruiting right now?
14, as of November 12, 2026. We update this list each time we refresh our data from ClinicalTrials.gov.
Where are these trials running?
In 5 countries. The most sites are in China (9 trials), France (3 trials), Reunion (1 trial), Denmark (1 trial), Colombia (1 trial). Each study page lists its sites and which ones are recruiting.
How do I join one?
Open a study, check the "Is this trial a fit for you?" section, then contact the study team listed on the page. They will ask a few screening questions. Asking is free and does not commit you to anything. Talk it over with your doctor first.
Find the studies that fit you
A list is a starting point. Tell us your situation in your own words and we'll rank the studies that match and explain why. It's free and needs no account.