Clinical trials: Predictive Model
Pancreatic Adenocarcinoma, Predictive Cancer Model
Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
The goal of this prospective observational cohort study is to validate a previously developed pancreatic cancer risk prediction algorith (the PRISM model) using electronic health records from the general population.
- Trial name
- NCT05973331
- Testing
- Pancreatic Cancer Risk Model (PRISM)
- Where
- United States
- Volunteers
- 6,134,060 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
Predictive Cancer Model
Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
The goal of this prospective observational cohort study is to validate previously developed Hepatocellular Carcinoma (HCC) risk prediction algorithms, the Liver Risk Computation (LIRIC) models, which are based on electronic…
- Trial name
- NCT06140823
- Testing
- Liver Risk Computation Model (LIRIC), Liver Risk Computation Model (LIRIC)_cirrhosis, Liver Risk Computation Model (LIRIC)_no_cirrhosis
- Where
- United States
- Volunteers
- 6,000,000 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Cognitive Impairment, Predictive Model
Risk Prediction and Its Intelligent Assessment for Cognitive Impairment Among Community-dwelling Older Adults
Cognitive impairment is one of the core early signs of dementia, and it is also a key stage for community-based dementia prevention.
- Conditions
- Cognitive Impairment, Predictive Model, Aging, Cohort
- Trial name
- NCT05385874
- Where
- China
- Volunteers
- 13,228 people, healthy volunteers welcome
- Sponsor
- Peking University Sixth Hospital
Identify More Accurate Predictive Models of Transplant Risk to Monitor and Evaluate New and Existing Patient Factors
Hepatic Transplantation Registry
The objective is to provide a mechanism to store information regarding the demographic characteristics; pre-, intra-, and post-transplant laboratories; treatment strategies; complications; and outcomes in patients undergoing…
- Trial name
- NCT05944042
- Testing
- Observational Transplant Analysis
- Where
- United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Methodist Health System
Predictive Cancer Model
Innovative Approach to Detect Recurrent Colorectal Lesions With Surveillance Via Mutation Analysis & Clinical Phenotype
It is known that the development of colorectal adenoma is dependent on the appearance of somatic mutations in protooncogenes and tumor suppressor genes.
- Trial name
- MTG (NCT05929365)
- Testing
- colonoscopy
- Where
- Czechia
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Military University Hospital, Prague
Labor, Induced, Labor, Obstetric
Prediction of Spontaneous Onset of Labor at Term
The study intends to develop a predictive model of spontaneous onset of labor between 39 and 41 weeks of pregnancy in women carrying singletons and without indication of delivery before this date.
- Conditions
- Labor, Induced, Labor, Obstetric, Labor Onset, Predictive Model
- Trial name
- PREDICT (NCT05109247)
- Where
- 3 sites in Switzerland
- Volunteers
- 429 people, healthy volunteers welcome
- Sponsor
- University Hospital, Geneva
Colorectal Cancer, Inflammatory Bowel Diseases
Predictive Time-to-Event Model for Major Medical Complications After Colectomy
Purpose: The purpose of this study is to create prediction models for when major complications occur after elective colectomy surgery. Justification: After surgery, patients can have multiple complications.
- Conditions
- Colorectal Cancer, Inflammatory Bowel Diseases, Diverticulitis, Colectomy
- Trial name
- NCT05150548
- Testing
- No Intervention
- Where
- Canada
- Volunteers
- 130,000 people, healthy volunteers welcome
- Sponsor
- University of British Columbia
Colonoscopy, Bowel Preparation
The Effect of a Predictive Model of Bowel Preparation Based on Procedure-related Factors
The rate of adequate bowel preparation is one of important quality indicators of colonoscopy. Inadequate bowel preparation negatively affects the outcomes of colonoscopy.
- Conditions
- Colonoscopy, Bowel Preparation, Predictive Model
- Trial name
- NCT04434625
- Testing
- Polyethylene glycol
- Where
- 5 sites in China
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Air Force Military Medical University, China