Clinical trials: Predictive Model
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
Post Herpetic Neuralgia
Predictive Models for the Treatment of Recurrent Herpes Zoster Neuralgia Following Spinal Cord Electrical Stimulation.
Shingles is a neuropathic disease caused by varicella-herpes virus(VZV) invading nerves and accompanying pain.Currently, the treatment of postherpetic neuralgia (PHN) includes medication and minimally invasive interventional…
- Trial name
- NCT06410222
- Testing
- Recurrence after undergo spinal cord stimulation
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Feng Gao
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
Electroencephalography, Anesthesia
Predictive Model in EEG for Induction and Emergence in Pediatric With Propofol
Anesthesia is essential to control pain and produce unconsciousness during surgery and other procedures during childhood. The anesthetic deepness is measured indirectly through changes in blood pressure and heart rate or can be…
- Conditions
- Electroencephalography, Anesthesia, Children, Only
- Trial name
- EEGPED (NCT03705338)
- Testing
- Electroencephalography, Propofol
- Where
- Chile
- Volunteers
- 1 people, healthy volunteers welcome
- Sponsor
- Victor Contreras, MSN
Type 1 Diabetes Mellitus
Closed-loop Response to Unannounced Mixed and Carbohydrates-rich Breakfasts
The development of advanced hybrid closed-loop (a-HCL) systems represents a significant step toward in improving glucose control and reducing user-dependent variability, especially In pediatric patients.
- Trial name
- CRUMB (NCT07455643)
- Testing
- Unannounced meal
- Where
- Italy
- Volunteers
- 20 people
- Sponsor
- University of Catania
Blood Pressure Immeasurable
Development of a Prediction Model for Intraoperative Blood Pressure Variability
Objective: The aim of this study was to use machine learning to predict and interpret intraoperative high blood pressure variability（IHBPV）. Design: Retrospective cohort study. Setting: Beijing Tsinghua Chang Gung Hospital .
- Trial name
- NCT05698433
- Testing
- No intervention
- Where
- China
- Volunteers
- 47,520 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Anxiety/Depression and Asthma
The Impact of Anxiety/Depression on the Efficacy of Asthma Control Drugs and the Construction of a Predictive Model for the Risk of Acute Asthma Attacks
The goal of this clinical trial is to explore the impact of anxiety/depression on the efficacy of asthma controller medications and to develop a risk prediction model for asthma acute exacerbations in patients with asthma.
- Trial name
- NCT07679321
- Testing
- No intervention measures
- Where
- China
- Volunteers
- 256 people
- Sponsor
- Xiangya Hospital of Central South University
Type 1 Diabetes
MMPPC Outpatient Clinical Protocol 2016
This study trials a prototype artificial pancreas system that consists of a Roche insulin pump, a Dexcom continuous glucose monitor (CGM), and an experiential MMPPC (multiple model probabilistic predictive control) algorithm…
- Trial name
- MMPPC (NCT02769884)
- Testing
- MMPPC algorithm artificial pancreas
- Volunteers
- 10 people
- Sponsor
- Rensselaer Polytechnic Institute
Stillbirth, Placental Insufficiency
Placental Risk Assessment to CusTomize Individualized Pregnancy Care and Evaluation
This is a prospective observational study with the goal of developing and assessing a predictive model of placental insufficiency.
- Trial name
- PRACTICE (NCT07144839)
- Testing
- Data Collection Throughout Pregnancy and Delivery
- Where
- United States
- Volunteers
- 640 people
- Sponsor
- Oregon Health and Science University
Pulmonary Tuberculosis, Tuberculosis (TB)
Artificial Intelligence-driven Tuberculosis Landscape Analysis & Stratification Research
The goal of this observational study is to establish and validate a comprehensive AI-driven clinical decision support system (AI-CDSS) in whole-chain management for pulmonary tuberculosis (TB) patients.
- Conditions
- Pulmonary Tuberculosis, Tuberculosis (TB), Tuberculosis Active
- Trial name
- TB-ATLAS (NCT07611695)
- Where
- 2 sites in China
- Volunteers
- 31,600 people
- Sponsor
- Huashan Hospital
Renal Transplanted Recipients, Kidney Function
Renal Function Prediction in Living Donor Transplant Using Baseline Data
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients.
- Trial name
- NCT06728995
- Where
- South Korea
- Volunteers
- 3,500 people
- Sponsor
- Seoul National University Hospital
Paraganglioma, Pheochromocytoma
Development of a Predictive Model for the Risk of Metastatic Disease in PPGLs, a Retrospective Cohort Study
Phaeochromocytomas and paragangliomas (PPGLs) are tumours of the adrenal medulla and extra-adrenal sympathetic nervous system, some which can become metastatic. It is a very rare disease and the tumours are often detected late.
- Conditions
- Paraganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
- Trial name
- PPGL-Pred (NCT04788927)
- Where
- 2 sites in Denmark
- Volunteers
- 400 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Osteosarcoma
Predictive Models of Treatment Responses and Survival Outcomes in Patients With Osteosarcoma
The aim of this study was to developed and validated models to predict therapeutic responses and patients' survivals in patients with osteosarcoma and compared these models with currently available models.
- Trial name
- NCT05194605
- Testing
- Prediction model
- Where
- China
- Volunteers
- 800 people
- Sponsor
- West China Hospital
Gangrenous Cholecystitis
Construction of a Predictive Model of Gangrenous Cholecystitis Based on Machine Learning
Gangrenous cholecystitis is the most common complication of acute cholecystitis. There is no research using machine learning models to construct predictive diagnostic models for gangrenous cholecystitis.
- Trial name
- NCT06399081
- Testing
- Observational
- Where
- China
- Volunteers
- 1,006 people
- Sponsor
- Dalian Medical University
Cirrhosis, Biliary Atresia
Predictive Models of Hepatic Decompensation and Survival Outcomes in Pediatric Patients With Cirrhosis
The aim of this study was to developed and validated models to predict hepatic decompensation and survivals in pediatric patients with cirrhosis and compared these models with currently available models.
- Conditions
- Cirrhosis, Biliary Atresia, Choledochal Cyst, Primary Sclerosing Cholangitis
- Trial name
- NCT05181332
- Testing
- Prediction model
- Where
- China
- Volunteers
- 400 people
- Sponsor
- West China Hospital
Invasive Breast Cancer
Sentinel Lymph Node Biopsy in Clinically Node-negative Early Breast Cancer Patients After Neoadjuvant Chemotherapy
This is a prospective, single-center, non-randomized, non-controlled observational study.
- Trial name
- NCT03381092
- Where
- China
- Volunteers
- 348 people
- Sponsor
- Peking University
Patients With Acute Myeloid Leukemia, Patients Receiving Induction/Consolidation Chemotherapy
Genetic Predictive Model Based on Single Nucleotide Polymorphisms in the DNA Repair Pathway and Drug Metabolis/Transport Pharmacogenetics in the Prediction of Response and Treatment Outcomes in Acute Myeloid Leukemia
The main component in the treatment of acute myeloid leukemia (AML) is consist of anthracycline (such as daunorubicin or idarubicin) and cytarabine.
- Trial name
- NCT01106144
- Where
- South Korea
- Volunteers
- 500 people
- Sponsor
- Samsung Medical Center
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Kidney Transplantation, Delirium - Postoperative
A Predictive Model for Postoperative Delirium in Kidney Transplant Patients
This study aims to develop and prospectively validate a machine learning-based prediction model for postoperative delirium in kidney transplant recipients, using perioperative clinical data.
- Conditions
- Kidney Transplantation, Delirium - Postoperative, Cognitive
- Trial name
- NCT07078578
- Volunteers
- 4,800 people
- Sponsor
- Hua Zheng
Juvenile Idiopathic Arthritis (JIA)
Development of a Multidimensional Prediction Model for the Course and Outcome of Early-Onset Juvenile Idiopathic Arthritis (JIA)
This is a prospective-retrospective, translational, no profit, multicentric, observational study. A cohort of at least 100 early-onset JIA patients attending the Unit of Rheumatology and Autoinflammatory Diseases, Department of…
- Trial name
- NCT07882667
- Where
- 2 sites in Italy
- Volunteers
- 130 people
- Sponsor
- Istituto Giannina Gaslini