Clinical trials: Predictive Model, open to volunteers
Difficult Airway Intubation
Research on a Machine Learning-Based Predictive Model for Difficult Intubation Using Specific Vocal Characteristics
1. Study Purpose This research aims to develop a novel, non-invasive, and simple method to predict difficult intubation before surgery.
- Trial name
- NCT07278232
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Anesthesia, Local, Anesthesia
Prediction Models for Cardiovascular and Neurocognitive Disease Risk in the General Population
More accurate and earlier identification of people at risk of cardiovascular disease (CVD) and neurodegenerative diseases (memory, cognition, dementia) through the appropriate use of biomarkers could lead to earlier initiation of…
- Trial name
- CME (NCT05951764)
- Testing
- Non-invasive measurement of arterial stiffness by Pulse Wave Velocity (PWV)
- Where
- France
- Volunteers
- 396 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Colorectal Cancer Liver Metastasis
Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer
This is a prospective, multicenter, observational study designed to validate the predictive accuracy of a pre-developed multimodal deep learning model.
- Trial name
- NCT07392567
- Testing
- Multimodal Deep Learning Prediction Model
- Where
- China
- Volunteers
- 160 people
- Sponsor
- Tongji Hospital
Pregnancy
Prenatal Music Exposure to Enhance Postnatal Language Development
The goal of this randomized controlled study is to evaluate the effect of prenatal music exposure on infants through two years of age.
- Trial name
- NCT07699536
- Testing
- High dose music Exposure, Education, Low dose music exposure
- Where
- 2 sites in China, Hong Kong
- Volunteers
- 480 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Mobility Limitations, Disability Physical
The Fit With Us Study
The purpose of this 32-week study is to use an innovative experimental design known as SMART (Sequential Multiple Assignment Randomized Trial), which will allow us to determine the best way to sequence the delivery of…
- Conditions
- Mobility Limitations, Disability Physical, Telehealth, Health Coaching
- Trial name
- FITWITHUS (NCT06207084)
- Testing
- asynchronous content only, Asynchronous content and health coaching and no live training, asynchronous content only and 1 on 1 live training
- Where
- United States
- Volunteers
- 257 people
- Sponsor
- University of Alabama at Birmingham
Sepsis, Burn Injury
Surgical Critical Care Initiative (SC2i) Tissue and Data Acquisition Protocol (TDAP) in Burn Patients Improving the Robustness and Generalizability of Post-burn Sepsis Prediction With the Post-Burn Sepsis Digital Twin. Group 1
This study is following adult patients with serious burn injuries to better understand how their bodies respond to treatment and recovery.
- Conditions
- Sepsis, Burn Injury, Wound Healing, Critical Illness
- Trial name
- NCT07249762
- Testing
- Observational Cohort (No Intervention)
- Where
- 3 sites in United States
- Volunteers
- 40 people
- Sponsor
- Henry M. Jackson Foundation for the Advancement of Military Medicine
Metastasis, Predictive Cancer Model
Predicting Tumor Metastasis by Employing a Target Organ/Primary Lesion Fusion Radiomics Model
A pre-metastatic target organ/primary lesion fusion radiomics model was developed based on the "soil-seed" theory to predict comman tumor metastasis in retrospective settings.
- Trial name
- NCT06202404
- Where
- 2 sites in China
- Volunteers
- 166 people
- Sponsor
- Fudan University
Subacromial Pain Syndrome, Rotator Cuff Related Shoulder Pain
Predictive Model for PENS Response in Subacromial Pain Syndrome
Subacromial pain syndrome (SPS) is one of the most common causes of shoulder pain, leading to significant disability and socioeconomic burden.
- Trial name
- NCT07063641
- Testing
- Percutaneous Electrical Nerve Stimulation (PENS)
- Volunteers
- 269 people
- Sponsor
- Néstor Requejo Salinas
Gastric (Stomach) Cancer
Development of a Predictive Model for Gastric Cancer Peritoneal Metastasis and Cachexia Using BUB1 and Radiopathomics Data With Deep Learning
This clinical trial aims to develop a predictive model for gastric cancer (GC) peritoneal metastasis and cachexia by integrating BUB1 gene data with radiological and pathological data using advanced deep learning techniques.
- Trial name
- BUDDLE (NCT06858644)
- Testing
- BUB1-Integrated Deep Learning Model for Gastric Cancer Metastasis and Cachexia Prediction
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Cirrhosis
The Influence of Nutritional Factors on the Prognosis of Liver Cirrhosis Patients and the Exploration of Predictive Models
Cirrhosis is a progressive developing liver disease transforming normal hepatocytes into scar tissue with loss of function.The prevalence of cirrhosis has approximately tripled over the past two decades.
- Trial name
- NCT06328517
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Juan Kang
Glioblastoma
Artificial Intelligence-Guided Radiotherapy Planning for Glioblastoma
The ARTPLAN-GLIO study aims to evaluate the feasibility and effectiveness of integrating artificial intelligence in personalized radiotherapy planning for glioblastomas.
- Trial name
- ARTPLAN-GLIO (NCT06657027)
- Volunteers
- 40 people
- Sponsor
- Hospital del Rio Hortega
Cranioplasty, Postoperative Complications
Risk Factors for Complications After Cranioplasty
Cranial defects often result from brain injuries, hemorrhages, strokes, or brain tumors. These conditions can increase pressure inside the skull, and if left untreated, may lead to dangerous complications like brain herniation.
- Conditions
- Cranioplasty, Postoperative Complications, Risk Assessment
- Trial name
- NCT06740773
- Where
- 3 sites in China
- Volunteers
- 1,000 people
- Sponsor
- Qilu Hospital of Shandong University
Alzheimer Dementia (AD), Mild Cognitive Impairment (MCI)
Making Antibody Treatments More Effective in Early Alzheimer's Disease Using 3Tesla Magnetica Resonance
Alzheimer's disease causes progressive memory and cognitive decline, driven in part by the buildup of a protein called β-amyloid in the brain.
- Trial name
- NCT07456462
- Testing
- MRI assessment and blood sample collection
- Where
- Italy
- Volunteers
- 50 people
- Sponsor
- IRCCS San Raffaele
Fibromyalgia
Predictive Models on Psychosocial Profile, Fatigue and Sleep Quality
The primary goal of this research project is to develop different prediction models in fibromyalgia disease through the application of machine learning techniques and to assess the explainability of the results.
- Trial name
- NCT07424534
- Where
- Spain
- Volunteers
- 150 people
- Sponsor
- University of Castilla-La Mancha
Prostate Cancer
The Development and Validation of MRI-AI-based Predictive Models for csPCa
This study retrospectively included patients who underwent prostate magnetic resonance imaging (MRI) and subsequent ultrasound-guided prostate biopsy at Peking University First Hospital from January 2019 to December 2023, and…
- Trial name
- NCT06842264
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Peking University First Hospital
Cognitive Dysfunction
The Application of an AI-driven Multimodal Predictive Model for Cognitive Impairment in Patients With Type 2 Diabetes Mellitus
The objective of this observational study is to evaluate the accuracy and feasibility of an artificial intelligence-based multimodal cognitive screening system in early identification of diabetes-related mild cognitive impairment…
- Trial name
- NCT07128186
- Testing
- follow-up observation
- Where
- 21 sites in China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Tongji Hospital
Rheumatoid Arthritis (RA)
Medical Device for Sustained Remission in Rheumatoid Arthritis Treated With Biological Therapy
This study aims to evaluate a new tool designed to help doctors decide whether it is safe to reduce medication in patients with rheumatoid arthritis (RA) who are in remission.
- Trial name
- REMRABIT-Plus (NCT07678112)
- Testing
- Predictive Model-Guided Decision Strategy
- Where
- 9 sites in Spain
- Volunteers
- 184 people
- Sponsor
- Francisco J. Blanco
Breast Cancer, Perimenopause
AMH Dynamic Changes to Predict Ovarian Reserve in Perimenopausal Breast Cancer
This study is a prospective observational cohort study aimed at developing a clinical model based on dynamic changes in anti-Müllerian hormone (AMH) to predict ovarian reserve in perimenopausal women with hormone…
- Conditions
- Breast Cancer, Perimenopause, Ovarian Reserve
- Trial name
- NCT07497191
- Volunteers
- 300 people
- Sponsor
- Shengjing Hospital
Uterine Neoplasms
Analysis and Optimization of Predictive and Therapeutic Models in Uterine Neoplasms
Evaluation of clinical, therapeutic and prognostic relevance of new experimental results as well as optimization of therapeutic models and development of a new algorithm for therapeutic plan and therapy in patients with uterine…
- Trial name
- NCT03624712
- Testing
- uterine neoplasms
- Where
- Germany
- Volunteers
- 580 people
- Sponsor
- University Hospital Tuebingen
HIPEC
Thermodynamic Model of Hyperthermia in Humans Undergoing HIPEC
Hyperthermic Intraperitoneal Chemotherapy (HIPEC) is a well-established alternative for patients with peritoneal surface malignancies.
- Trial name
- HIPEC (NCT05426928)
- Testing
- Additional temperature monitoring/recording
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- Henry Ford Health System