Clinical trials: Prediction Model, open to volunteers
Early Gastric Cancer
Explainable Machine Learning for Predicting Early Gastric Cancer
Abstract Background: Early detection of gastric cancer is crucial for improving patient survival rates. Currently, the primary method for diagnosing early-stage gastric cancer is endoscopy, which has various limitations.
- Trial name
- NCT07047937
- Where
- China
- Volunteers
- 10 people
- Sponsor
- Wenzhou Central Hospital
Pulmonary Nodules, Lung Neoplasms
Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT
Pulmonary ground-glass nodules (GGNs) are commonly found on chest CT scans. Some stay stable for years, while others slowly or rapidly turn into lung cancer.
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Adenocarcinoma of Lung
- Trial name
- GGN-Trajectory (NCT07647692)
- Testing
- Serial Thin-Slice Chest CT
- Where
- China
- Volunteers
- 4,750 people
- Sponsor
- Peking University People's Hospital
Hepatocellular Carcinoma, Atezolizumab-bevacizumab
Ate-Bev Early Response Prediction Model in Advanced HCC
The prognosis of hepatocellular carcinoma is poor compared to other carcinomas. Many drugs have recently been developed, and recently, atezolizumab-bevacizumab treatment was superior to sorafenib, the conventional treatment for…
- Conditions
- Hepatocellular Carcinoma, Atezolizumab-bevacizumab, Response Evaluation
- Trial name
- NCT05763277
- Testing
- Early response evaluation
- Where
- South Korea
- Volunteers
- 170 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
Breast Cancer
Standard Follow-up Program (SFP) for Breast Cancer Patients
Motive: In order to improve the treatment technique, a comprehensive follow-up program is needed to obtain all relevant patient, treatment and toxicity data from breast cancer patients.
- Trial name
- SFPMAMMA (NCT06429995)
- Testing
- Radiotherapy
- Where
- Netherlands
- Volunteers
- 10,000 people
- Sponsor
- University Medical Center Groningen
Coronary Artery Disease (CAD) (E.G., Angina, Myocardial Infarction, and Atherosclerotic Heart Disease (ASHD))
Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease(CMI-RiskCAD)
The primary design of this study is an ambispective cohort study. We plan to integrate coronary imaging features (including parameters derived from Coronary Computed Tomography Angiography(CCTA) and coronary angiography(CAG))…
- Trial name
- CMI-RiskCAD (NCT07353762)
- Where
- China
- Volunteers
- 10,960 people
- Sponsor
- Beijing Anzhen Hospital
Octogenarian Patients With Non-metastatic Resectable Colorectal Cancer
SGA-OCRC: Prediction of 90-Day Major Adverse Postoperative Outcomes in Octogenarians With Resectable Colorectal Cancer
Octogenarian patients with colorectal cancer are a growing population with substantial heterogeneity in frailty, functional reserve, nutritional status, and comorbidity.
- Trial name
- NCT07903129
- Volunteers
- 1,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Triple -Negative Breast Cancertriple, Meta-Learning
Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study
Based on the UPGRADE-TNBC study, a high-quality TNBC sample repository was established. By integrating multi-source data-including clinical information, radiomics, pathological images, and molecular sequencing-and innovatively…
- Conditions
- Triple -Negative Breast Cancertriple, Meta-Learning, Predictive Models, Multimodal
- Trial name
- NCT07773818
- Testing
- Collect data
- Where
- China
- Volunteers
- 32 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Lung Cancer
Standard Follow-up Program (SFP) for Lung Cancer Patients Treated With Radiotherapy or Chemoradiation
Motive: In order to improve the treatment technique, a comprehensive follow-up program is needed to obtain all relevant patient, treatment and toxicity data from lung cancer patients.
- Trial name
- NCT02421718
- Testing
- Radiotherapy
- Where
- Netherlands
- Volunteers
- 10,000 people
- Sponsor
- University Medical Center Groningen
Pulmonary Embolism (Diagnosis), Pulmonary Embolism Acute
Repeated Examinations for Typing Pulmonary Embolism
PURPOSE The two related purposes of the RE-TyPE study are: 1. To improve understanding of the early clinical course of intermediate-high risk pulmonary embolism and its association with outcome and 2.
- Conditions
- Pulmonary Embolism (Diagnosis), Pulmonary Embolism Acute, Pulmonary Embolism With Acute Cor Pulmonale, Pulmonary Embolism With Right Ventricle Enlargement
- Trial name
- RE-TyPE (NCT07491094)
- Where
- 3 sites in Sweden
- Volunteers
- 400 people
- Sponsor
- Sahlgrenska University Hospital
Chronic Disease, Risk Assessment
Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data.
- Trial name
- NCT07541547
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Health Research Institutes, Taiwan
Occupational Disidentification
Undergraduate Nursing Intern Cohort Study
This prospective observational cohort study aims to examine changes in occupational disidentification among undergraduate nursing interns during clinical internship and to identify factors associated with high-risk trajectories.
- Trial name
- NCT07682493
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Nanjing Medical University
Postoperative Cognitive Dysfunction (POCD), Cardiac Diseases Requiring Surgery
Prediction Model for Postoperative Cognitive Dysfunction in Elderly Cardiac Patients: A Special Disease Cohort Study
This is a prospective cohort study aiming to construct a prediction model for postoperative cognitive dysfunction (POCD) in elderly cardiac patients. We plan to enroll elderly patients aged ≥65 years undergoing cardiac surgery.
- Trial name
- NCT07483047
- Where
- China
- Volunteers
- 634 people
- Sponsor
- Shanghai Geriatric Medical Center
ST Elevation (STEMI) Myocardial Infarction
Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction
Objective: This study aims to develop and test a novel artificial intelligence-based prediction model. This model will integrate cardiac magnetic resonance imaging and clinical data to predict the long-term risk of major adverse…
- Trial name
- NCT07277400
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Qian geng
Stroke Acute, Encephalitis
Inflammatory and Metabolic Prognostic Assessment in Critically Ill Neurological Patients
The study aims to develop and validate a prognostic prediction model for adverse outcomes in neurocritical patients receiving enteral nutrition based on key inflammatory and metabolic markers.
- Conditions
- Stroke Acute, Encephalitis, Non-traumatic Brain Injury
- Trial name
- IMPACT-NEURO (NCT06849011)
- Where
- 19 sites in China
- Volunteers
- 1,185 people
- Sponsor
- Yan Zhang
Aplastic Anemia, Pregnancy
A Prediction Model in Pregnant Women With Aplastic Anemia
Aplastic anemia (AA) is a rare haematologic disorder characterized by bone marrow failure and pancytopenia. Its occurrence during pregnancy is exceedingly rare but poses significant risks, including maternal hemorrhage…
- Conditions
- Aplastic Anemia, Pregnancy, Prediction Model
- Trial name
- NCT07101770
- Testing
- A combined retrospective and prospective observational follow-up
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Peking University People's Hospital
Headache, Comorbidities
Headache Registration and Followup Initiated by Tongji Hospital, HUST
Headache is one of the most common chief complaints in clinical practice, with a high global prevalence rate. It may originate from a primary headache disorder or manifest as a clinical symptom of various diseases due to the…
- Trial name
- HEALTH (NCT07269561)
- Where
- China
- Volunteers
- 50,000 people
- Sponsor
- Tongji Hospital
Lung Cancer (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
Risk-Based Lung Cancer Detection in COPD Patients
The goal of the interventional study is to evaluate whether risk-based stratification using the PLCOm2012 model and a machine learning (ML) model can identify patients with chronic obstructive pulmonary disease (COPD) who are at…
- Trial name
- ELUCID (NCT07848815)
- Testing
- Risk-based prediction models
- Where
- Denmark
- Volunteers
- 1,000 people
- Sponsor
- Vejle Hospital
Knee Osteoarthritis, Total Knee Arthroplasty
Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN
This multicenter prospective observational study aims to evaluate whether preoperative clinical variables and wearable sensor-derived gait features can predict postoperative improvement after total knee arthroplasty (TKA).
- Trial name
- NCT07367789
- Testing
- Instrumented Insole Gait Assessment
- Where
- South Korea
- Volunteers
- 200 people
- Sponsor
- Yonsei University
Crohn Disease (CD), Postoperative Recurrence and Metastasis
Prediction of Postoperative Recurrence in Crohn's Disease
This multicenter prospective observational cohort study aims to develop and validate a multimodal prediction model for postoperative recurrence in patients with Crohn's disease.
- Trial name
- NCT07824791
- Testing
- Intestinal Resection, Biospecimen Collection
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)
Prospective Validation of DL Model for Postoperative MACCE Prediction
This study aims to prospectively validate a deep learning model developed using retrospective data to predict major adverse cardiac and cerebrovascular events (MACCE) occurring within 30 days after non-cardiac surgery.
- Trial name
- NCT07054502
- Where
- South Korea
- Volunteers
- 7,000 people
- Sponsor
- Seoul National University Hospital