Clinical trials: Machine Learning
Lumbar Disc Herniation, Lumbar Degenerative Disease
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
The study was a clinical retrospective study designed to investigate risk factors for long-term recurrent pain after PLIF in patients with lumbar degenerative disease and to improve patient outcomes
- Conditions
- Lumbar Disc Herniation, Lumbar Degenerative Disease, Sarcopenia
- Trial name
- NCT06622356
- Testing
- MRI with Eovist
- Where
- China
- Volunteers
- 452 people, healthy volunteers welcome
- Sponsor
- Hao Liu
Mild Cognitive Impairment
LifeBio Memory: Development of a Reminiscence Therapy Online Platform With Machine Learning to Increase Engagement
LifeBioMEMORY (LBM) is a reminiscence therapy (RT) mobile application that captures older adults' life stories in their own voices to promote social engagement and psychosocial well-being.
- Trial name
- LifeBio Memory (NCT07685067)
- Testing
- LifeBio Memory (LBM) digital reminiscence intervention
- Volunteers
- 168 people, healthy volunteers welcome
- Sponsor
- George Mason University
Schizophrenia
Transcranial Sonography and Machine Learning for Schizophrenia Identification
Schizophrenia is a serious mental illness. Doctors usually diagnose schizophrenia by talking with patients, reviewing symptoms, and using clinical assessment. In early or less typical cases, diagnosis may be difficult.
- Trial name
- TCS-ML-SZ (NCT07604129)
- Testing
- Transcranial Sonography
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Taizhou Second People's Hospital
Autonomic Dysfunction, Autonomic Imbalance
Non-Invasive Bioelectronic Analytics
Biomarkers can be evaluated to provide information about disease presence or intensity and treatment efficacy. By recording these biomarkers through noninvasive clinical techniques, it is possible to gain information about the…
- Conditions
- Autonomic Dysfunction, Autonomic Imbalance, Autonomic Nervous System Diseases, Vagus Nerve Autonomic Disorder
- Trial name
- NIBA (NCT04100486)
- Testing
- Standing-Squatting-Standing Test, Deep Breathing Test, Cold Pressor Test
- Where
- United States
- Volunteers
- 48 people, healthy volunteers welcome
- Sponsor
- Northwell Health
Sepsis
Early Identification and Prognosis Prediction of Sepsis Through Multiomics
This study aims to integrate multi-omics data and clinical indicators to reveal pathogen-specific molecular patterns in patients with sepsis and establish prognostic prediction models through multiple machine learning algorithms.
- Trial name
- EIPPSM (NCT05305469)
- Where
- China
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Yantai Yuhuangding Hospital
Cervical Myelopathy
Machine Learning Diagnosis and Prediction for Cervical Myelopathy
DESIGN: Ambispective cohort study (retrospective + prospective). AIMS: The overall aim of this research study is to create two predictive machine learning models that are based on radiological, clinical and biochemical variables…
- Trial name
- MCM (NCT05099627)
- Testing
- The questionnaire "Cervical myelopathy treatment outcome questionnaire", The retrospective questionnaire "CSM early diagnosis questionnaire", JOACMEQ questionnaire and mJOA
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Imperial College Healthcare NHS Trust
Prefrontal Hemodynamics, Muscle Strength
Lower Limb Strength and Power as Predictors of Brain Blood Flow During Exercise
This study aims to investigate the predictive value of lower limb muscle strength and explosive power on exercise-induced prefrontal hemodynamic responses.
- Conditions
- Prefrontal Hemodynamics, Muscle Strength, Physical Performance
- Trial name
- LLSPP (NCT07575802)
- Testing
- Standardized Lower-Limb Physical Performance Assessment and Aerobic Exercise Task
- Where
- Russia
- Volunteers
- 256 people, healthy volunteers welcome
- Sponsor
- Lincoln University College
Eczema, Psoriasis
Non-invasive Photoacoustic Imaging of Skin Inflammatory Disorders With Machine Learning-assisted Scoring
Inflammatory skin disorders are usually assessed by disease scoring system such as Scoring AD (SCORAD)/Eczema Area and Severity Index (EASI) and Psoriasis Area and Severity Index (PASI) for atopic eczema and psoriasis…
- Trial name
- NCT04809571
- Testing
- Photoacoustic imaging and Confocal Raman spectroscopy measurement
- Where
- Singapore
- Volunteers
- 550 people, healthy volunteers welcome
- Sponsor
- Institute of Bioengineering and Bioimaging (IBB)
Adenocarcinoma of Lung; Bronchial Neoplasms; Early Detection of Cancer; Machine Learning
Early Detection of Lung Cancer With Machine Learning Based on Routine Clinical Investigations
This observational, cross-sectional study in lung cancer patients and lung cancer-free controls aims to develop a machine learning model for early detection of LC based on routine, widely accessible and minimally invasive…
- Trial name
- NCT05907577
- Testing
- Observational
- Where
- 2 sites in Slovenia
- Volunteers
- 7,500 people, healthy volunteers welcome
- Sponsor
- The University Clinic of Pulmonary and Allergic Diseases Golnik
Movement Disorders, Energy Metabolism
Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water
The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement…
- Trial name
- ValiDLW (NCT05736302)
- Testing
- Doubly-Labeled Water
- Where
- United States
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- University of Wisconsin, Milwaukee
Athletic Injuries
Machine Learning-Guided Training for Elite Athletes (MLGT)
Plaintext The purpose of this study is to evaluate whether a personalized training protocol driven by machine learning can successfully reduce time-loss sports injuries and enhance athletic performance in elite athletes.
- Trial name
- MLGT (NCT07683091)
- Testing
- Adaptive Machine Learning Workload Optimization
- Where
- 2 sites in Ethiopia
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Debre Berhan University