Clinical trials: Learning Model
Aging, Mortality
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy.
- Conditions
- Aging, Mortality, Cardiovascular Disease Prevention, Metabolic Syndrome
- Trial name
- NCT07808619
- Testing
- AIML scored health screening battery
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.
Chronic Kidney Disease, Type 2 Diabetes Mellitus
An Observational Study, Called FINEXPLORER, to Learn More About How Well Finerenone Works in Adults in Spain With Chronic Kidney Disease (CKD) Linked to Type 2 Diabetes, by Looking at Changes in a CKD Risk Score
This is a prospective observational study in which data from people with chronic kidney disease (CKD) associated with type 2 diabetes (T2D) who will be receiving finerenone are collected and analyzed.
- Trial name
- FINEXPLORER (NCT07554469)
- Testing
- Finerenone (Kerendia, BAY94-8862)
- Where
- Spain
- Volunteers
- 500 people
- Sponsor
- Bayer
Small for Gestational Age Infant, Fetal Growth Restriction
Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.
Routine fetal ultrasound scan during the second trimester of the pregnancy is a low-cost, noninvasive screening modality that has been proven to lower fetal mortality by up to 20%.
- Conditions
- Small for Gestational Age Infant, Fetal Growth Restriction, Oligohydramnios, Polyhydramnios
- Trial name
- NCT05059093
- Testing
- Classification and segmentation deep learning models
- Where
- 6 sites in Morocco
- Volunteers
- 122 people, healthy volunteers welcome
- Sponsor
- Deepecho
Temperature Change, Body, Emergency Department Visit
Performance Study of the Thermodiag Solution for Body Temperature Measurement
The goal of this prospective, comparative, multi-centre interventional clinical investigation, is to evaluate the performance of the Thermodiag® medical device, compared with reference methods, for continuous measurement of core…
- Trial name
- ThermodiagPERF (NCT06703931)
- Testing
- Measures performed on all subjects
- Where
- 4 sites in France
- Volunteers
- 60 people
- Sponsor
- F2D Medical
Breast Cancer, Benign Breast Condition
ATUSA Ultrasound Diagnostic Imaging for Breast Lesions Evaluation (AUDIBLE) - iSono Health
AUDIBLE is a multi-site, clinical study conducted in the United States aimed at gathering data on 3D Automated Breast Ultrasound imaging using the iSono Health ATUSA system.
- Conditions
- Breast Cancer, Benign Breast Condition, Breast Fibroadenoma, Breast Neoplasms
- Trial name
- AUDIBLE (NCT07505797)
- Testing
- ATUSA 3D Automated Breast Ultrasound System
- Where
- 2 sites in United States
- Volunteers
- 800 people
- Sponsor
- iSono Health, Inc.
Non-small Cell Lung Cancer Metastatic
Predictive Multimodal Signatures Associated With Response to Treatment and Prognosis of Patients With Stage IV Non-small Cell Lung Cancer
Predicting response to therapy and disease progression in stage IV NSCLC patients treated with pembrolizumab monotherapy, chemotherapy-pembrolizumab combination therapy or chemotherapy alone in the first-line setting.
- Trial name
- DEEP-Lung-IV (NCT04994795)
- Testing
- Predictive models (data collection)
- Where
- 30 sites in United States, Brazil and 6 more
- Volunteers
- 4,000 people
- Sponsor
- Sophia Genetics SAS
Healthy
Non-invasive Measurement of Glucose with Advanced Spectroscopy Techniques and Machine Learning Models
Primary aim of this pilot study is to provide evidence for a non-invasive, continuous, and transcutaneous measurement method to determine blood glucose levels robustly and accurately.
- Trial name
- NCT06406075
- Testing
- Lab demo 1.0
- Where
- Switzerland
- Volunteers
- 43 people, healthy volunteers welcome
- Sponsor
- Liom Health AG
Diabetic Retinopathy, Diabetic Eye Problems
Detection and Classification of Diabetic Retinopathy From Posterior Pole Images With A Deep Learning Model
The duration of diabetes is directly related to eye complications. Diabetic retinopathy affects 80 percent of those who have had diabetes for 20 years or more.
- Conditions
- Diabetic Retinopathy, Diabetic Eye Problems, Diabetic Macular Edema
- Trial name
- NCT04805541
- Testing
- Color Fundus Photography, Mydriatic Agent, EyeCheckup - AI Based DR Screening
- Where
- Turkey (Türkiye)
- Volunteers
- 900 people
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Adolescent Well-Being, Mental Health Wellness
Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs - Effectiveness Study
The purpose of this study is to test the effectiveness of a new clinical decision support tool, Placement Success Predictor (PSP), in a naturalistic setting.
- Trial name
- NCT06834763
- Testing
- Clinical team access to Placement Success Predictor (PSP) results
- Where
- United States
- Volunteers
- 403 people
- Sponsor
- Outcome Referrals, Inc.
Coronary Artery Disease, Percutaneous Coronary Intervention
Patient Centered Machine Learning Model for Bleeding and Ischemic Risk
Dual antiplatelet therapy (DAPT) is indicated in all patients undergoing coronary stent implantation to prevent ischemic recurrencies despite an increased risk of bleeding.
- Trial name
- xDAPT (NCT06089304)
- Testing
- Percutaneous coronary intervention
- Where
- United States
- Volunteers
- 19,000 people
- Sponsor
- Abbott Medical Devices
Respiratory Syncytial Virus Infections
A Study to Learn About the Effects of Multiple Doses of Sisunatovir on People With Respiratory Syncytial Virus (RSV) Infection
The purpose of the study is to learn about the safety, pharmacokinetics and antiviral activity of the study medicine (called sisunatovir/RV521) for the potential treatment of respiratory syncytial virus (RSV).
- Trial name
- NCT03258502
- Testing
- RV521
- Where
- United Kingdom
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Pfizer
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction (ADOPTS)
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.
- Trial name
- ADOPTS (NCT05641675)
- Testing
- right heart catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction
Cardiac remote monitoring devices have expanded our ability to track physiological changes used in the diagnosis and management of patients with cardiac disease.
- Trial name
- ADOPTS (NCT05622695)
- Testing
- catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
COVID-19, Pneumonia
COVID-19 Mortality Prediction Model
The objective of this study is to develop and evaluate an algorithm which accurately predicts mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.
- Conditions
- COVID-19, Pneumonia, Mechanical Ventilation
- Trial name
- NCT04358510
- Testing
- COViage
- Where
- United States
- Volunteers
- 114 people
- Sponsor
- Dascena
Pulmonary Embolism
External Validation of a Deep Learning Based Model for Pulmonary Embolism Detection on Chest CT Scans
The scope of this study is the external validation of an explainable deep learning-based classifier for the diagnosis and detection of pulmonary embolism in computed tomography pulmonary angiography (CTPA) and contrast enhanced…
- Trial name
- NCT05333042
- Where
- Belgium
- Volunteers
- 5,000 people
- Sponsor
- OncoRadiomics
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Autism Spectrum Disorder, Depression - Major Depressive Disorder
Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD)…
- Conditions
- Autism Spectrum Disorder, Depression - Major Depressive Disorder, Anxiety, Generalized, Bipolar Disorder (BD)
- Trial name
- MINDAIM (NCT06792175)
- Testing
- Solicue Machine Learning Models, Mercuria Machine Learning Models
- Where
- 2 sites in United States
- Volunteers
- 500 people
- Sponsor
- Psyrin Inc.
Sepsis
Discharge Readmission Analysis and Management in Sepsis (DReAMS-2)
This is an adaptive platform. This study is being done to collect information that will help us identify trends in patients with sepsis and other health conditions being readmitted into hospitals within 30 days of being…
- Trial name
- NCT06099756
- Where
- 3 sites in United States
- Volunteers
- 2,000 people
- Sponsor
- Measure Labs, Inc.
COVID-19, Coronavirus
Respiratory Decompensation and Model for the Triage of COVID-19 Patients
The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.
- Conditions
- COVID-19, Coronavirus, Mortality, Mechanical Ventilation
- Trial name
- READY (NCT04390516)
- Testing
- COViage
- Where
- United States
- Volunteers
- 197 people
- Sponsor
- Dascena
Heart Failure
Acorai Machine Learning Generalization (MLG) Study
Acorai is developing a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters in patients with suspected or confirmed heart failure, and/or pulmonary hypertension, who require hemodynamic…
- Trial name
- CAPTURE-HF (NCT05835024)
- Testing
- Acorai Sensor Data Collection (ASDC) system 1.0 - Phase 1, Acorai Sensor Data Collection (ASDC) system 1.0 - Phase 2
- Where
- 18 sites in United States, Belgium and 4 more
- Volunteers
- 1,602 people, healthy volunteers welcome
- Sponsor
- Acorai AB