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
Genetic Disease, Pediatrics
Clinical Decision Support to Identify Pediatric Patients With Undiagnosed Genetic Disease
This study will evaluate the effectiveness of SIGHT as a clinical support system to prompt provider/patient discussion and shared decision making regarding the need for genetic testing in the form of a chromosomal microarray.
- Conditions
- Genetic Disease, Pediatrics, Predictive Model, Clinical Decision Support
- Trial name
- SIGHT (NCT06744543)
- Testing
- SIGHT Prompted Provider Message
- Where
- United States
- Volunteers
- 1,000 people
- Sponsor
- Vanderbilt University Medical Center
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
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
Alpha-1-antitrypsin Deficiency, Emphysema
Development of a Prediction Score for the Occurrence of Death or Lung Transplantation in Patients With Emphysema Secondary to Alpha-1-anti-tripsin Deficiency
Emphysema linked to alpha-1-antitrypsin deficiency (DAAT): towards a better prediction of risks Emphysema caused by alpha-1-antitrypsin deficiency (DAAT) is a rare genetic disorder that can lead to serious complications, such as…
- Conditions
- Alpha-1-antitrypsin Deficiency, Emphysema, Artificial Intelligence (AI), Predictive Learning Models
- Trial name
- FLARE (NCT07715617)
- Where
- 4 sites in France
- Volunteers
- 230 people
- Sponsor
- University Hospital, Bordeaux
Funcional Status, Return to Work
Machine Learning Model for Predicting Recovery After Critical Illness
This study aims to develop and test an artificial intelligence (AI) model to predict long-term functional status and return to work after critical illness.
- Conditions
- Funcional Status, Return to Work, Predictive Learning Models
- Trial name
- NCT07616388
- Testing
- No interventions were performed.
- Where
- Brazil
- Volunteers
- 2,016 people
- Sponsor
- Hospital de Clinicas de Porto Alegre
Artificial Intelligence (AI), Machine Learning
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery.
- Conditions
- Artificial Intelligence (AI), Machine Learning, Joint Replacement, Predictive Model
- Trial name
- FISIO_IA (NCT07333560)
- Testing
- Predictive Model for Early Mobility Recovery and Length of Stay
- Where
- 2 sites in Italy
- Volunteers
- 943 people
- Sponsor
- Istituto Ortopedico Rizzoli
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
Headache, Pituitary Adenoma
Prediction Model for Postoperative Headache After Transsphenoidal Pituitary Surgery
Primary Objective: This observational study aims to construct a predictive model for short-term headache following endonasal pituitary adenoma surgery and to identify risk factors associated with postoperative headache after…
- Conditions
- Headache, Pituitary Adenoma, Endonasal Surgery, Predictive Model
- Trial name
- NCT07446036
- Testing
- Transsphenoidal Pituitary Surgery
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Beijing Tiantan Hospital
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
Predictive Cancer Model, Pathologic Complete Response
Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer
The goal of this observational study is to establish a dynamic multi-omics integration model for predicting pathological complete response (pCR) after neoadjuvant treatment in locally advanced (T3-4NxM0) rectal cancer, providing…
- Trial name
- NCT06364371
- Testing
- Medical examination
- Where
- China
- Volunteers
- 106 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Predictive Cancer Model, Hepatic Metastasis
A Clinical Prospective Study to Validate a Risk Scoring Model for the HMGC After Curative Surgery
A previous study of investigators established a risk scoring model for occurrence of postoperative hepatic metastases in patients who underwent curative gastrectomy directly without neoadjuvant therapy.
- Conditions
- Predictive Cancer Model, Hepatic Metastasis, Gastric Cancer
- Trial name
- NCT06023966
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Predictive Cancer Model, Gastric Cancer
A Prospective Clinical Study to Validate a Preoperative Risk Scoring Model for LNM in GC Patients
In our prior research, a risk scoring model for the occurrence of lymph node metastasis in patients who underwent radical gastrectomy for gastric cancer was established.
- Conditions
- Predictive Cancer Model, Gastric Cancer, Lymph Node Metastasis
- Trial name
- NCT06339307
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Soft-tissue Sarcoma, Predictive Cancer Model
The Value of a Risk Prediction Tool (PERSARC) for Effective Treatment Decisions of Soft-tissue Sarcomas Patients
The goal of this clinical trial is to assess the (cost-)effectiveness of a personalised risk assessment tool (PERSARC) to increase patients' knowledge about risks and benefits of treatment options and to reduce decisional…
- Trial name
- VALUE_PERSARC (NCT05741944)
- Testing
- Care with the use of PERSARC, standard care
- Where
- 7 sites in Netherlands
- Volunteers
- 120 people
- Sponsor
- Leiden University Medical Center
Predictive Model
A Prediction Model of Postoperative Anxiety Symptom in Elderly Patients Undergoing Major Noncardiac Surgery
A multicentre, prospective observational study to develop and validate a predictive model for postoperative anxiety symptoms in elderly Chinese patients undergoing non-cardiac major surgery.
- Trial name
- NCT06641986
- Where
- China
- Volunteers
- 5,551 people
- Sponsor
- Chinese PLA General Hospital
Predictive Model
Development and Validation of a Prediction Model for Depression and Anxiety in Perioperative Elderly Adults
Anxiety and depression in later life are highly prevalent, often appear as comorbid disorders, and have many adverse consequences for both the individual and society.
- Trial name
- NCT05600504
- Testing
- no intervention
- Where
- China
- Volunteers
- 6,386 people
- Sponsor
- Chinese PLA General Hospital
Predictive Cancer Model
Prognostic Evaluation Prediction Model Survival Spinal Epidural Metastases
Patients with symptomatic spinal metatstasis will be prosepectively included in a database after theu signes informed consent. Minimally six months after inclusion the survival status is analyzed.
- Trial name
- NCT06411015
- Where
- Netherlands
- Volunteers
- 428 people
- Sponsor
- Radboud University Medical Center
Pancreatic Cancer, Circulating Tumor Cell
Liquid Biopsy (ctDNA) Guided Treatment in Localized Pancreatic Cancer: Neoadjuvant CTX vs. Upfront Surgery
This study evaluates the clinical prognostic impact (on DFS and OS) of liquid biopsy guided treatment vs. standard of care (physicians choice) in localized pancreatic cancer (despite because of CA 19-9 levels and computed…
- Conditions
- Pancreatic Cancer, Circulating Tumor Cell, Predictive Cancer Model
- Trial name
- LIQUIPANC (NCT06391892)
- Testing
- Neoadjuvant chemotherapy instead of upfront surgery, Upfront surgery
- Where
- Austria
- Volunteers
- 100 people
- Sponsor
- Elisabethinen Hospital
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