Clinical trials: Artificial Pancreas
Pancreatic Neoplasms, Type 3c Diabetes
Glucose Control Through a Bihormonal Artificial Pancreas in Patients After Total Pancreatectomy
In recent years total pancreatectomy is increasingly performed in selected patients due to the increasing use of preoperative chemotherapy, making more patients operable.
- Conditions
- Pancreatic Neoplasms, Type 3c Diabetes, Total Pancreatectomy
- Trial name
- PANORAMA (NCT06346366)
- Testing
- Bihormonal artificial pancreas (BIHAP) / closed loop
- Where
- Netherlands
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Pancreatic Disease, Cardiovascular Diseases
Tight Glycemic Control by Artificial Pancreas
Hyperglycaemia has been repeatedly associated with risk of mortality and morbidity in the intensive care unit (ICU). The evidence currently available is in favour of a 'normal ≤ 6.1 mmol/l' level for blood glucose control in ICUs…
- Trial name
- KMS (NCT00735228)
- Testing
- Artificial pancreas
- Where
- Japan
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Kochi University
Pancreatic Cancer
A Multi-center Study on the Efficacy and Safety of AI-assisted Navigation System for Biliopancreatic EUS
Pancreatic cancer is one of the most lethal cancers. Survival rates vary largely depending on the stage at which it is diagnosed. EUS is considered one of the most sensitive modalities for pancreatic cancer detection.
- Trial name
- NCT04892329
- Testing
- Artificial intelligence assistant system
- Where
- 2 sites in China
- Volunteers
- 285 people, healthy volunteers welcome
- Sponsor
- Renmin Hospital of Wuhan University
Type 1 Diabetes (T1D), Healthy Subjects
Effect of Artificial Sweetener (AFS) on Glucose Metabolism in Patients With Type 1 Diabetes (T1D)
The goal of this randomized crossover study is to test the prediction that consuming carbohydrates will affect insulin release differently depending on whether Non-Nutritive Sweeteners (NNSs) are consumed simultaneously.
- Trial name
- AFS_T1D (NCT06315725)
- Testing
- Sweet taste perception with/without sweet taste blockade
- Where
- Canada
- Volunteers
- 3 people, healthy volunteers welcome
- Sponsor
- McGill University Health Centre/Research Institute of the McGill University Health Centre
Hepatic Disease, Biliary Disease
Development and Prospective Validation of an AI-Based Diagnostic Model for Hepato-Pancreato-Biliary Diseases
The rapid advancement of artificial intelligence (AI) has expanded its applications in healthcare, particularly in diagnostic assistance, intelligent triage, and patient interaction.
- Conditions
- Hepatic Disease, Biliary Disease, Pancreas Disease, Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07716670
- Testing
- AI Integration type 1, AI Integration type 2
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Pancreatic Cancer, Pancreatic Cyst
Improving Pancreatic Cancer Care by the Use of Computational Science and Technology
The goal of the IMPACT project is to set up a data sharing infrastructure between expert centers for pancreatic surgery that enables training, testing and validation of computer science tools to improve quality of care for…
- Conditions
- Pancreatic Cancer, Pancreatic Cyst, Pancreatic Adenocarcinoma, Pancreatic Diseases
- Trial name
- IMPACT (NCT06055010)
- Testing
- No interventions
- Where
- Netherlands
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- UMC Utrecht
Type 1 Diabetes Mellitus
Study Assessing an Insulin Pump-controlling Algorithm to Minimize Hypo and Hyper in Type 1 During CRC Setting
Feasibility study assessing the ability of an insulin pump-controlling algorithm to minimize hypoglycemia and hyperglycemia in patients with type 1 diabetes in a clinical research setting.
- Trial name
- NCT01638299
- Testing
- Hypo-Hyper Minimizer (HHM) System
- Where
- 2 sites in United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Animas Corporation
Type 1 Diabetes Mellitus
Feasibility Study Assessing The Ability Of An Insulin Pump-Controlling Algorithm To Minimize Hypoglycemia And Hyperglycemia In Patients With Type 1 Diabetes In A Clinical Research Setting
The purpose of this study is to evaluate the performance of an insulin pump controlling algorithm while the subject is under close medical supervision in the Clinical Research Center (CRC) setting.
- Trial name
- NCT01401751
- Testing
- Hypoglycemia-Hyperglycemia Minimizer System
- Where
- United States
- Volunteers
- 13 people, healthy volunteers welcome
- Sponsor
- Animas Corporation
Pancreatic Cancer, Pancreatic Ductal Adenocarcinoma
AI-powered Early Detection for Pancreatic Cancer Via Non-contrast CT in Opportunistic Screening Cohort
Pancreatic ductal adenocarcinoma (PDAC) remains a therapeutic challenge with 5-year survival rates of 13%, primarily attributable to advanced-stage diagnosis (AJCC Stage III/IV in >80% of cases).
- Conditions
- Pancreatic Cancer, Pancreatic Ductal Adenocarcinoma, Pancreatic Intraepithelial Neoplasias, Intraductal Papillary Mucinous Neoplasm
- Trial name
- AI-PANC (NCT06638866)
- Testing
- PDAC, Pancreatic precursor lesions
- Where
- 3 sites in China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Changhai Hospital
Type 1 Diabetes
Closed-Loop Glucagon Administration For Hypoglycemia Treatment
This study will test the hypothesis that a wearable automated bionic pancreas system that automatically delivers glucagon only can prevent or treat hypoglycemia vs. usual care for people with type 1 diabetes > 21 years old.
- Trial name
- NCT02181127
- Testing
- Glucagon-only Bionic Pancreas
- Where
- United States
- Volunteers
- 31 people, healthy volunteers welcome
- Sponsor
- Massachusetts General Hospital
Pancreatic Cancer
Research of the Application of Pancreatic Cancer Screening Artificial Intelligence Model "PANDAPro"
The purpose of this study is to build upon the previously developed deep learning-based non-contrast CT pancreatic cancer screening model, PANDA.
- Trial name
- NCT06643715
- Testing
- PANDA Pro
- Where
- China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
Type 1 Diabetes
Closed-loop Glucose Control for Automated Management of Type 1 Diabetes
We hypothesize that our integrated closed-loop glucose-control system can provide effective, tight, and safe blood glucose (BG) control in type 1 diabetes, thereby establishing the feasibility of closed-loop BG control.
- Trial name
- NCT00811317
- Testing
- Closed-loop
- Where
- United States
- Volunteers
- 11 people, healthy volunteers welcome
- Sponsor
- Boston University Charles River Campus
Breast Cancer, Colon Cancer
EXoPERT EMERALD Clinical Study
The purpose of this study is to establish a multi-center clinical repository of blood samples to support the development and evaluation of an artificial intelligence-based in vitro diagnostic software.
- Conditions
- Breast Cancer, Colon Cancer, Pancreatic Cancer, Ovarian Cancer
- Trial name
- NCT07186296
- Testing
- EXoPred
- Where
- 9 sites in United States
- Volunteers
- 1,400 people, healthy volunteers welcome
- Sponsor
- EXoPERT
Hypoglycemia
Post Bariatric Closed Loop Glucagon Trial
This study is to test our automated hypoglycemia prevention and treatment device (glucagon-only bionic pancreas) in subjects that have undergone post-bariatric surgery that are experiencing symptoms of hypoglycemia.
- Trial name
- NCT02966275
- Testing
- Glucagon-only bionic pancreas - glucagon
- Where
- United States
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Massachusetts General Hospital
Type 1 Diabetes, Type 1 Diabetes Mellitus
Evaluating Glucose Control Using a Next-Generation AID Algorithm in Individuals With T1D
Feasibility study to evaluate the safety and feasibility of Omnipod automated insulin delivery algorithms in individuals with type 1 diabetes.
- Conditions
- Type 1 Diabetes, Type 1 Diabetes Mellitus, Diabetes (DM)
- Trial name
- EVOLUTIONT1D (NCT07593625)
- Testing
- Omnipod M System, Omnipod S
- Where
- New Zealand
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Insulet Corporation
Type 1 Diabetes Mellitus With Artificial Pancreas Device
OCT and OCT-A Deep Learning in Diabetic Patients Wiht Artificial Pancreas Device
This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in diabetic patients undergoing artificial pancreas device, using optical coherence tomography angiography.
- Trial name
- NCT05809843
- Testing
- hybrid artificial pancreas systems (CSII)
- Where
- Italy
- Volunteers
- 11 people, healthy volunteers welcome
- Sponsor
- Federico II University
Pancreatic Cancer
Research of the Application of Artificial Intelligence Model "PANDA"
The research objective of this project is to conduct a large-scale and prospective real-world validation of the Pancreatic Cancer Screening Model PANDA, which was developed based on deep learning and plain CT scans in previous…
- Trial name
- NCT06528223
- Testing
- biopsy or operation
- Where
- 2 sites in China
- Volunteers
- 200,000 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
Type 1 Diabetes
Exercise Detection Study
The risk of hypoglycemia in individuals with type 1 diabetes increases considerably during exercise. As a result, many patients with type 1 diabetes experience fear of and reluctance to pursue physical activity, in order to avoid…
- Trial name
- NCT02688218
- Testing
- Aerobic Exercise, Resistance Exercise
- Where
- United States
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Oregon Health and Science University
Type 1 Diabetes Mellitus
Feasibility Study of PID Versus MPC and HMS
The goal of this proposed study is to explore the feasibility of using a PID (Proportional-Integral-Derivative) controller versus an MPC (Model Predictive Control) controller algorithm in an artificial pancreas system, all other…
- Trial name
- NCT01987206
- Testing
- MPC control algorithm, PID control algorithm
- Where
- United States
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Sansum Diabetes Research Institute
Type 1 Diabetes Mellitus
Real-time Adaptation to Changes in Insulin Sensitivity
The purpose of this research study is to test an automated blood glucose control system that includes a new component designed to adapt to stress.
- Trial name
- NCT01261052
- Testing
- The Fading Memory Proportional Derivative/Adaptive Proportional Derivative Algorithm, The Adaptive Proportional Derivative Algorithm
- Where
- United States
- Volunteers
- 14 people, healthy volunteers welcome
- Sponsor
- Legacy Health System