Clinical trials: Machine Learning, open to volunteers
Epilepsy
Precision Medicine in the Treatment of Epilepsy
Primary objectives: The purpose of this study is to identify single and composite biomarkers (from neuroimaging, electrophysiological, and non-imaging biological measures), clinical measures (from cognitive, psychometric, and…
- Trial name
- BDE (NCT05450822)
- Testing
- Levetiracetam, Levetiracetam Tablets, Lamotrigine tablet
- Where
- Denmark
- Volunteers
- 550 people, healthy volunteers welcome
- Sponsor
- Gitte Moos Knudsen
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
Low Back Pain, Chronic Low-back Pain
Physical Exam, Static & Dynamic Ultrasound Assessment, & Treatment of Thoracolumbar Fascia (TLF) Mediated Low Back Pain
This Study is for our continued study of the Thoracolumbar Fascia (TFL) in patients with and without low back pain by our experienced multidisciplinary team: Vincent Wang PhD, VT Biomedical Engineering \& Mechanics (BEAM).
- Conditions
- Low Back Pain, Chronic Low-back Pain, Acute Low Back Pain
- Trial name
- NCT06818175
- Testing
- Ultrsound Guided Hydrodissection of the Thoracolumbar Fascia, Osteopathic Manipulative Treatment (OMT)
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Edward Via Virginia College of Osteopathic Medicine
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Mental Health, Neurodevelomental Disorders
Mental Health and Innovation for French Higher-education Students
To fully grasp mental health, it is essential to understand and assess it by considering all the factors that affect it: family environment, school environment, emotional relationships, living conditions, social networks, etc.
- Trial name
- SMILE (NCT07800585)
- Where
- France
- Volunteers
- 13,710 people, healthy volunteers welcome
- Sponsor
- O-Kidia
Myasthenia Gravis, Fatigue
Capturing Key MG-symptoms Using Smartphone Recordings.
This study will make use of a cross-sectional design of MG patients and non-MG participants to quantitatively assess key MG symptoms, and to explore the applicability of machine learning algorithms to their measurement.
- Trial name
- CAPTURE - MG (NCT06743490)
- Where
- 2 sites in Netherlands
- Volunteers
- 225 people, healthy volunteers welcome
- Sponsor
- Leiden University Medical Center
Age-related Hearing Loss
Prediction of Age-Related Hearing Loss Based on Comprehensive Risk Factors
This study aims to develop a predictive model for age-related hearing loss (ARHL) based on multi-source risk factors and artificial intelligence techniques.
- Trial name
- NCT07612618
- Testing
- Not applicable- observational study
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Chinese PLA General Hospital
Cancer, Prostate Cancer
Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
This prospective study will test artificial intelligence (AI) and machine learning (ML) decision support tools. This tool is designed to help doctors, physicists and other staff during pre-treatment peer review, a step where…
- Trial name
- NCT07463833
- Testing
- The Artificial Intelligence (AI)/ Machine Learning (ML) contribution to treatment planning
- Where
- United States
- Volunteers
- 207 people, healthy volunteers welcome
- Sponsor
- UNC Lineberger Comprehensive Cancer Center
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
Asthma, COPD
Acoustic Waveform Respiratory Evaluation
The study will evaluate the feasibility of using smartphone speakers and microphones to evaluate the caliber of the airways, detect airway obstruction, aid in airway disease diagnosis, and identify disease exacerbations.
- Conditions
- Asthma, COPD, Cystic Fibrosis, Ciliary Motility Disorders
- Trial name
- AWARE (NCT06512064)
- Testing
- AWARE
- Where
- 2 sites in United States
- Volunteers
- 800 people, healthy volunteers welcome
- Sponsor
- Indiana University
Asthma COPD
Oscillometry and Machine Learning Approaches
Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory…
- Trial name
- NCT07447596
- Testing
- 1
- Where
- Spain
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
PHYSIOLOGICAL PHENOMENA, Homeostasis
Truway Whole-Body Digital Twin and Physiologic Resilience Study (TRU-OMNIBODY)
TRU-OMNIBODY is a prospective observational study designed to develop and independently validate a research-only whole-body digital twin.
- Conditions
- PHYSIOLOGICAL PHENOMENA, Homeostasis, Physical Functional Performance, Cardiorespiratory Fitness
- Trial name
- TRU-OMNIBODY (NCT07805044)
- Testing
- Standardized Physiologic Resilience Challenge, Multimodal Whole-Body Physiologic Monitoring, Research-Only Whole-Body Digital Twin Analysis
- Where
- United States
- Volunteers
- 450 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.
Bipolar Disorder I or II, Healthy (Controls)
Decoding Emotional Dynamics in Bipolar Disorder
The goal of this neuroimaging study is to investigate how emotional states fluctuate in people with bipolar disorder (BD) compared to healthy controls, and to understand the neural mechanisms driving mood instability.
- Trial name
- NCT07221864
- Testing
- Think and Regulate Affective State Task
- Where
- United States
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Laureate Institute for Brain Research, Inc.
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
Long COVID-19 Syndrome, Long COVID Symptoms
Epigenetic Changes in Long COVID Patients
The goal of this observational study is to improve the understanding of the biological mechanisms underlying long COVID and to identify molecular biomarkers that may support its diagnosis, prognosis, and future precision medicine…
- Trial name
- ECLIPSE (NCT07757620)
- Where
- 3 sites in Italy
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
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
Cholestasis in Newborn, Biliary Atresia
The Dirty Nappy Study
This observational study evaluates whether a machine-learning algorithm, a computer program that learns patterns from data, can accurately diagnose cholestasis in newborns.
- Conditions
- Cholestasis in Newborn, Biliary Atresia, Neonatal Cholestasis
- Trial name
- NCT07697872
- Where
- United Kingdom
- Volunteers
- 5,350 people, healthy volunteers welcome
- Sponsor
- Birmingham Women's and Children's NHS Foundation Trust
Athletic Injury, Fatigue Recovery
Multimodal Machine Learning for Predicting Reduced Participation in Elite Youth Football
This study protocol describes a prospective longitudinal observational study designed to evaluate the accuracy of machine learning models in predicting the short-term (24-72 h) risk of reduced participation (training modification…
- Trial name
- PREDICTYOUTH (NCT07870460)
- Where
- Czechia
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Palacky University
Pulmonary Hypertension (Diagnosis)
Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study
The goal of this observational study is to apply Artificial Intelligence (AI) and machine learning technology to the resting 12-lead electrocardiogram (ECG) and assess whether it can assist doctors in the early diagnosis of…
- Trial name
- NCT05942859
- Testing
- Artificial Intelligence and Machine Learning technology
- Where
- United Kingdom
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Royal United Hospitals Bath NHS Foundation Trust