Clinical trials: Machine Learning, open to volunteers
Acute Kidney Injury, Surgery Complications
Real-Time Acute Kidney Injury Perioperative Prediction Clinical Trial
This investigator-initiated, pragmatic trial evaluates whether displaying a machine learning (ML)- derived perioperative AKI risk score-alone or paired with an interruptive Best/Our Practice Advisory (BPA/OPA)-improves…
- Conditions
- Acute Kidney Injury, Surgery Complications, Anesthesia
- Trial name
- ML-AKI (NCT07604662)
- Testing
- EHR-Embedded AKI Risk Score, EHR-Embedded AKI Risk Score with Best Practice Advisory
- Where
- United States
- Volunteers
- 25,518 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy
Neonatal Neurological Observation With Video AI
NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside…
- Conditions
- Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy, Sedation, Sleep
- Trial name
- NeoNOVA (NCT07628829)
- Testing
- Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring
- Where
- 2 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Artemis AI Labs
Lynch Syndrome, Li Fraumeni Syndrome
Video Capsule Examination in Patients With Lynch Syndrome
Surveillance for colorectal cancer (CRC) in patients predisposed to develop CRC during their lifetime has been impacted by access to colonoscopy suites and endoscopy specialists in the past couple of years.
- Conditions
- Lynch Syndrome, Li Fraumeni Syndrome, PTEN Hamartoma Syndrome, FAP
- Trial name
- PILLCAM (NCT06712095)
- Testing
- Video capsule investigation
- Where
- United Kingdom
- Volunteers
- 25 people, healthy volunteers welcome
- Sponsor
- Royal Marsden NHS Foundation Trust
Osteoarthitis, Osteoporosis
Evaluation of Musculoskeletal Aging and Related Disorders Via Advanced Clinical Imaging
Study Overview This clinical research focuses on the development and validation of a multimodal artificial intelligence (AI) platform designed for the automated diagnosis and precise staging of two major musculoskeletal…
- Trial name
- NCT07474571
- Testing
- No Interventions
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Peking University People's Hospital
Multiple Sclerosis (MS), Relapsing-remitting Multiple Sclerosis (RRMS)
Imaging the Interplay Between Axonal Damage and Repair in Multiple Sclerosis
This project is to: 1. Quantify differences in axonal integrity and organization in aMS versus naPMS patients. 2. Quantify changes in axonal integrity and organization in aMS versus naPMS patients over a two-year period. 3.
- Conditions
- Multiple Sclerosis (MS), Relapsing-remitting Multiple Sclerosis (RRMS), Secondary-progressive Multiple Sclerosis (SPMS), Primary Progressive Multiple Sclerosis (PPMS)
- Trial name
- INsIDER (NCT05177523)
- Testing
- MRI, Neurocognitive examination for healthy subjects, blood sampling
- Where
- Switzerland
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Mild Cognitive Impairment, Alzheimer's Disease
Use of Wearables for Identifying Factors Associated With Mild Cognitive Impairment and Early-Stage Alzheimer's Disease
Cognitive decline affects millions of older adults worldwide and has a profound impact on individuals, families, and healthcare systems.
- Conditions
- Mild Cognitive Impairment, Alzheimer's Disease, Alzheimer's Disease Dementia
- Trial name
- NCT07391436
- Where
- Brazil
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Getúlio Vargas University Hospital
Sleep, Nightshift Work
The Use of Multiple Sensors to Track Sleep in Nightshift Workers
Sleep is often a challenge for nightshift workers because their work and sleep schedules are inverted. Sleep is commonly measured using actigraphy, which is the standard measure of objective sleep in the general population…
- Trial name
- SENSE (NCT06670287)
- Testing
- Single-Sensor Tracking (In-Lab), Multi-Sensor Sleep Tracking (In-Lab), Multi-Sensor Sleep Tracking (At-Home)
- Where
- United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Henry Ford Health System
Sudden Cardiac Arrest
AI-guided Prediction and Treatment of Cardiac Arrest
Sudden cardiac arrest is a major health problem, and most people don't survive. One big reason is that even if resuscitation is successful, people commonly have recurrent cardiac arrests (rearrest).
- Trial name
- NCT07452016
- Testing
- Machine learning-guided cardiac arrest prediction device
- Where
- United States
- Volunteers
- 68 people, healthy volunteers welcome
- Sponsor
- MetroHealth Medical Center
Type 2 Diabetes, Insulin Resistance
Characteristics of Papez Loop Neural Network in T2DM （Type 2 Diabetes Mellitus）
This is a cross-sectional and longitudinal study to investigate the characteristic changes in Papez's circuit neural network activity and connectivity based on multimodal MRI, and through follow-up study of the interaction…
- Conditions
- Type 2 Diabetes, Insulin Resistance, Cognitive Impairment
- Trial name
- T2DM (NCT06912321)
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Nanjing First Hospital, Nanjing Medical University
Machine Learning
MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury
The goal of this clinical trial is to use machine learning (ML) to predict functional recovery by integrating muscle-related factors and other relevant parameters for identification of non-responders to conventional…
- Trial name
- NCT07284771
- Testing
- No Intervention: Observational Cohort
- Volunteers
- 182 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Gestational Diabetes Mellitus (GDM), Glucose Intolerance During Pregnancy
Early Screening for Gestational Diabetes Mellitus in a Low Risk Population
This new feasibility pilot study aims to refine the design and protocols for a larger trial that will investigate the potential benefits of early oral glucose tolerance test (OGTT) screening in a population traditionally defined…
- Trial name
- EaGeR (NCT06704035)
- Testing
- Early OGTT Results Revealed
- Where
- Singapore
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- National University Hospital, Singapore
Adolescent Idiopathic Scoliosis (AIS)
Detection of Scoliosis
This study aims to evaluate whether plantar pressure data collected during standing and walking can be used with machine learning to support early detection of scoliosis in young people.
- Trial name
- NCT07581015
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- University College, London
Metabolic Syndrome, Obesity & Overweight
Breath Mass Spectrometry in Metabolic Syndrome and Metabolically Healthy Obesity
This study aims to develop a non-invasive diagnostic method for metabolic syndrome (MetS) and metabolically healthy obesity (MHO) through analysis of exhaled air.
- Conditions
- Metabolic Syndrome, Obesity & Overweight, Metabolically Healthy Obesity
- Trial name
- NCT07330297
- Testing
- Breath Sampling and Analysis by PTR-MS
- Where
- Russia
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Hepatitis C Virus (HCV), Hepatitis C Virus (HCV) Infection
Assessing Performance of a Hepatitis C Emergency Department (HepC-EnD) Screening Tool: IT Integration Process for Electronic Health Record System
The goal of this observational study is to develop, implement, and evaluate a machine learning algorithm-based Hepatitis C Emergency Department (HepC-EnD) screening tool for use in emergency departments (EDs) to identify patients…
- Conditions
- Hepatitis C Virus (HCV), Hepatitis C Virus (HCV) Infection, HIV (Human Immunodeficiency Virus)
- Trial name
- HepC-EnD (NCT07406490)
- Testing
- Physician-Initiated Screening (Conventional Screening), FOCUS (Universal Screening), HepC-EnD (Targeted Screening)
- Where
- 3 sites in United States
- Volunteers
- 6,466 people, healthy volunteers welcome
- Sponsor
- University of Florida
Alzheimer's Disease (AD), Frontotemporal Dementia (FTD)
Automated Language Analysis in Neurodegenerative Diseases: Application of Artificial Intelligence Models
This multicenter study aims to characterize the language profiles of patients with various neurodegenerative diseases, including Alzheimer's disease (AD), Primary Progressive Aphasia (PPA), behavioral variant Frontotemporal…
- Conditions
- Alzheimer's Disease (AD), Frontotemporal Dementia (FTD), Parkinsons Disease (PD), Lewy Body Dementia
- Trial name
- AILAN (NCT07906769)
- Testing
- Speech and language Test to support clinical diagnosis
- Where
- Italy
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
Sexually Transmitted Infections (STIs), HIV
Development of a Predictive Model for Sexually Transmitted Infections in Individuals Using Pre-Exposure Prophylaxis for HIV in Spain
Objective: To develop and validate a predictive model for acquiring sexually transmitted infections (STIs) in individuals using HIV pre-exposure prophylaxis (PrEP) within the national program providing this strategy.
- Conditions
- Sexually Transmitted Infections (STIs), HIV, PrEP
- Trial name
- STI_PrEPare (NCT06860945)
- Testing
- No Intervention: Observational Cohort
- Where
- 26 sites in Spain
- Volunteers
- 9,000 people, healthy volunteers welcome
- Sponsor
- Hospital Universitario de Valme
Postpartum Depression (PPD), Postpartum Anxiety
AI-Enabled Wearable Monitoring for Detection of Postpartum Depression and Anxiety
The goal of this observational study is to examine whether passively collected wearable data can be used to predict onset and severity of postpartum depression and anxiety symptoms. The main questions it aims to answer are: 1.
- Trial name
- NCT07866053
- Where
- United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University of Hawaii
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.
Cognitive Ability General, Functional Abilities
Automated IADL Sensing to Refine Measurement of Older Adult Daily Activity
The instrumental activities of daily living (IADL) refer to complex daily activities required for adult independence, such as preparing a meal or taking medications.
- Trial name
- NCT07585864
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- University of Pittsburgh
Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke
RCT of HeartBot in Women
The goal of this clinical trial is to find out whether an app-based program called HeartBot II, which uses an artificial intelligence (AI) chatbot, can help improve women's awareness and knowledge of heart attacks in women.
- Conditions
- Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke, Participants Should Have no Terminal Illness or Diagnosed Cognitive Impairment, Including Alzheimer's Disease, Participants Should Not be a Healthcare Professionals or Healthcare Trainees
- Trial name
- HeartBot II (NCT07416734)
- Testing
- HeartBot II Program, Waitlist Control
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco