Clinical trials: Prediction Model
Growth Hormone Deficiency, Idiopathic Short Stature
Constructing an Insulin-Like Growth Factor-based Prediction Model
Serum insulin-like growth factor-I (IGF-I) measurements have been shown to correlate well with growth hormone action and effect, and recent data show that serum IGF-I may be related to safety and efficacy of growth hormone (GH)…
- Conditions
- Growth Hormone Deficiency, Idiopathic Short Stature, Small for Gestational Age
- Trial name
- NCT00263445
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University of California, Los Angeles
Ankle Brachial Index
Ankle-Brachial Index to Predicte All-Cause and Cardiovascular Mortality in Framingham Risk Score Patients
Framingham Risk Score (FRS) included age, gender, body mass index (BMI), cigarette smoking, blood pressure, total cholesterol (TC), LDL-cholesterol (LDL-C) and diabetes mellitus (DM).
- Trial name
- NCT04811547
- Volunteers
- 3,687 people
- Sponsor
- Shanghai 10th People's Hospital
Breast Cancer, Chemotherapy Effect
The Prediction Model of NAC Response for Breast Cancer Based on The Parametric Dynamics Features.
The main purpose of this study is to develop a computer-aided prediction model for NAC treatment response. Based on the heterogeneity of internal parametric tumor composition commonly observed, this study will utilize the…
- Conditions
- Breast Cancer, Chemotherapy Effect, Diffusion Weighted MRI, PET Imaging
- Trial name
- NCT06370234
- Testing
- Whole body 18F-FDG Positron Emission Tomography
- Volunteers
- 60 people
- Sponsor
- National Taiwan University Hospital
Prostate Cancer
Decision Support Tools for Men With Prostate Cancer- Clinical & Lifestyle Model
A UCSF PI-initiated study with a primary goal to improve decision quality, anxiety, and uncertainty, thereby increasing appropriate uptake of active surveillance and reducing over-treatment of low-risk prostate cancer.
- Trial name
- NCT02451345
- Testing
- Personalized risk model+website+coaching intervention
- Where
- 2 sites in United States
- Volunteers
- 58 people
- Sponsor
- University of California, San Francisco
Cancer
Tumor Immunity and Cancer Recurrence Prediction Model
The purpose of this observational study is to understand the predictive effect of the laboratory-developed TIMES scoring system on the recurrence status of cancer patients who have undergone surgical tumor resection.
- Trial name
- NCT06855290
- Volunteers
- 300 people
- Sponsor
- Anhui Provincial Hospital
Colorectal Cancer, Liver Metastases
The Prediction Model of Avastin Plus Chemotherapy in Unresectable Ras Mutant CRLM Patients
establishment and validation of the prediction model of avastin plus chemotherapy as first line treatment in simultaneous ras mutant unresectable CRLM patients
- Trial name
- NCT04525313
- Volunteers
- 116 people
- Sponsor
- Fudan University
Breast Cancer
Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Machine Learning Models.
This retrospective observational study aims to develop and validate a clinicopathology-based machine learning model to predict pathological complete response (pCR) following neoadjuvant chemotherapy in patients with breast…
- Trial name
- NCT07426653
- Volunteers
- 298 people
- Sponsor
- Florence Nightingale Hospital, Istanbul
Pressure Injury, Critically Ill Patients
Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients
In the previous investigation, investigators found that when the risk factors of stress injury in critical patients changed, clinical nurses lacked the awareness of evaluating the risk of stress injury, and lacked the risk…
- Conditions
- Pressure Injury, Critically Ill Patients, Risk Factors, Machine Learning Algorithms
- Trial name
- NCT05564975
- Volunteers
- 350 people
- Sponsor
- Yang Chaonan
Emergency Gastrointestinal Surgery, Mortality Within 30 Days
Construction and Validation of a Prediction Model for All - Cause Mortality Within 30 Days After Surgery in Critically Ill Patients Undergoing Emergency Gastrointestinal Surgery
Gastrointestinal surgeries are crucial for treating digestive tract diseases. However, they often lead to high postoperative infection rates due to long durations, bacterial translocation, weakened immunity, and reduced…
- Trial name
- EGS-30MP (NCT06787157)
- Testing
- Prediction Model Construction
- Volunteers
- 900 people
- Sponsor
- Quan Wang
Anesthesia
Evaluation of the Concentration-prediction for Oxygen and Volatile Anesthetic Agents in the 'Draeger Perseus A500' Anesthesia Machine
The anesthesia machine "Draeger Perseus A 500" has an integrated software which calculates the predicted course of the concentration of oxygen and the volatile anesthetics sevoflurane and desflurane for the next 20 minutes.
- Trial name
- NCT03465319
- Where
- Germany
- Volunteers
- 20 people
- Sponsor
- University of Erlangen-Nürnberg Medical School
Neuroendocrine Tumors, NET
A Transfer Learning Radiomics Model for Predicting Response to Initial Transarterial Embolization in Patients with Gastroenteropancreatic Neuroendocrine Tumor Liver Metastases
To develop and validate a CT-based transfer learning radiomics model for predicting response to initial TAE in GEP-NETLM patients and compare its performance with traditional radiomics and clinical models.
- Trial name
- NCT06853457
- Volunteers
- 257 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Diabete Type 2
BGEM Use as Blood Glucose Prediction Model in T2DM Population of Indonesia
Using signals from consumer-grade PPG sensors on wrist wearables, smart rings or hearables, BGEM® AI model computes the relevant digital biomarkers correlated with the change of blood glucose level to predict a blood glucose…
- Trial name
- NCT06642467
- Testing
- BGEM
- Where
- Indonesia
- Volunteers
- 885 people
- Sponsor
- Krida Wacana Christian University
Infertility, Female, First Trimester Spontaneous Abortion
Determination of Circulating Placental Biomarkers Levels to Predict the Pregnancy Outcome of First Trimester After IVF.
This study will assess the predictive potential of circulating placental biomarkers for spontaneous miscarriage within the following month in an IVF setting.
- Trial name
- NCT04387994
- Testing
- Blood samples collection
- Where
- Portugal
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Instituto Valenciano de Infertilidade de Lisboa
Venous Thrombosis, Critical Illness
Risk Prediction of Venous Thromboembolism in Critically Ill
Introduction: Venous thromboembolism (VTE), including both deep vein thrombosis and pulmonary embolism, is a frequent cause of morbidity and mortality.
- Trial name
- NCT03773939
- Where
- Netherlands
- Volunteers
- 5,400 people
- Sponsor
- University Medical Center Groningen
Atrial Fibrillation, Arrhythmias, Cardiac
Predicting Risk of Atrial Fibrillation and Association With Other Diseases
Atrial fibrillation (AF) is a major public health issue: it is increasingly common, incurs substantial healthcare expenditure, and is associated with a range of adverse outcomes.
- Conditions
- Atrial Fibrillation, Arrhythmias, Cardiac, Heart Diseases, Cardiovascular Diseases
- Trial name
- FIND-AF (NCT05837364)
- Testing
- Development of an algorithm
- Where
- United Kingdom
- Volunteers
- 2,159,663 people
- Sponsor
- University of Leeds
Lung Cancer, Solid Pulmonary Nodules
Constructing a Predictive Model for Differentiating Between Benign and Malignant Solid Pulmonary Nodules Based on Clinical and Imaging Features.
Study Objective: To comprehensively analyze the preoperative clinical and imaging characteristics of solid pulmonary nodules, investigate the risk factors associated with malignant solid pulmonary nodules, and provide a reference…
- Conditions
- Lung Cancer, Solid Pulmonary Nodules, Pulmonary Nodules
- Trial name
- NCT06685458
- Testing
- Preoperative Clinical and Imaging Feature Evaluation for Predictive Modeling
- Volunteers
- 320 people
- Sponsor
- The Third Affiliated Hospital of Kunming Medical College.
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction
Cardiac remote monitoring devices have expanded our ability to track physiological changes used in the diagnosis and management of patients with cardiac disease.
- Trial name
- ADOPTS (NCT05622695)
- Testing
- catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
Aneurysm, Dissecting, Acute Kidney Injury
Prediction of Acute Kidney Injury After Operation of Acute Type A Aortic Dissection Based on Multimodal Model
Acute kidney injury is one of the most common postoperative complications of acute type A aortic dissection, which is closely related to early postoperative death.
- Trial name
- NCT05017896
- Testing
- Normal CT Renal Perfusion imaging indexes, Low CT Renal Perfusion imaging indexes
- Volunteers
- 242 people
- Sponsor
- Qilu Hospital of Shandong University
Aging, Mortality
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy.
- Conditions
- Aging, Mortality, Cardiovascular Disease Prevention, Metabolic Syndrome
- Trial name
- NCT07808619
- Testing
- AIML scored health screening battery
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.
Age-related Macular Degeneration (ARMD)
Prediction Model of Treatment Efficacy for Age-related Macular Degeneration Based on Multi-source Imaging Modalities
Age-related macular degeneration (AMD) is one of the main causes of blindness in the elderly population. Intraocular injection of anti-VEGF drugs for neovascular AMD (nAMD) is the main treatment method at present.
- Trial name
- NCT06583109
- Volunteers
- 2,600 people
- Sponsor
- Beijing Hospital