A5049823946- Diabetes Management and Research
- Pancreatic function and diabetes
- Diabetes and associated disorders
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Heart Failure Treatment and Management
- Interpreting and Communication in Healthcare
- Transplantation: Methods and Outcomes
- Pharmaceutical Practices and Patient Outcomes
- Renal Transplantation Outcomes and Treatments
- Cell Adhesion Molecules Research
- Cardiac Imaging and Diagnostics
- Mobile Health and mHealth Applications
- Cancer Cells and Metastasis
- Medication Adherence and Compliance
- Diabetes Management and Education
- Metabolism, Diabetes, and Cancer
- Cancer Research and Treatments
- Pericarditis and Cardiac Tamponade
- Health Literacy and Information Accessibility
- Effects of Vibration on Health
- COVID-19 diagnosis using AI
- Vehicle Dynamics and Control Systems
- Organ and Tissue Transplantation Research
- Machine Learning in Healthcare
Columbia University Irving Medical Center
2024-2025
Universidad Antonio Nariño
2015-2024
NewYork–Presbyterian Hospital
2024
Columbia University
2024
Brigham and Women's Hospital
2024
Cornell University
2021-2023
Weill Cornell Medicine
2021-2023
Brown University
2019-2021
Providence College
2019
Hospital Universitario San Ignacio
2018
To address the role of β(1) integrins in pancreatic cancer progression, we stably knocked down integrin subunit expression human FG-RFP cells using lentiviral-based RNA interference. We then examined effects knockdown on cell adhesion, migration and proliferation tumor microenvironment-specific extracellular matrix proteins vitro progression vivo a clinically relevant fluorescent orthotopic mouse model cancer. Knockdown inhibited types I IV collagen, fibronectin laminin vitro. In vivo,...
Postprandial (PP) control remains a challenge for closed-loop (CL) systems. Few studies with inconsistent results have systematically investigated the PP period.To compare new CL algorithm current pump therapy (open loop [OL]) in glucose type 1 diabetes (T1D) subjects.A crossover randomized study was performed two centers. Twenty T1D subjects (F/M 13/7, age 40.7 ± 10.4 years, disease duration 22.6 9.9 and A1c 7.8% 0.7%) underwent an 8-h mixed meal test on four occasions. In (CL1/CL2), after...
Recent publications frequently introduce new indexes to measure glycemic variability (GV), quality of control, or risk; however, there is a lack evidence supporting the use one particular parameter, especially in clinical practice.A cohort type 2 diabetes mellitus (T2DM) patients ambulatory care were followed using continuous glucose monitoring sensors (CGM). Mean (MG), standard deviation, coefficient variation (CV), interquartile range, CONGA1, 2, and 4, MAGE, M value, J index, high blood...
Background: International consensus on the use of continuous glucose monitoring (CGM) recommends coefficient variation (CV) as metric choice to express glycemic variability (GV) with a cutoff 36% define unstable diabetes. Even though, CV is associated hypoglycemia in type 2 diabetes patients, evidence one particular measure GV 1 (T1DM) patients predictor limited. Methods: A cohort T1DM ambulatory was evaluated using CGM. Number and incidence rate events <54 <70 mg/dL were calculated....
No studies have assessed the efficacy of telemedicine using a platform for recording and adjusting insulin doses in patients with diabetes mellitus type 2 (DM2) transitioning from inpatient to outpatient care. This study aimed assess, population DM2, discharged tertiary referral hospital, whether treatment based on use an mHealth application was associated better glycemic control at 3-month follow-up, than standard care.This open, randomized, controlled clinical trial included adult DM2 who...
Degludec (IDeg) is an ultralong-acting insulin, with stable pharmacodynamic profile which leads to lower fluctuations in glucose levels. The effect of IDeg has not been specifically assessed patients unstable diabetes, defined as increased glycemic variability (GV).A prospective before-after pilot study was conducted, including managed at Hospital Universitario San Ignacio Bogotá, Colombia. impact the switch from a Glargine or Detemir insulin basal regimen for 12 weeks on GV measured by...
Background: Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there lack of systematic, chronological, and synthesizing studies show background knowledge generation in this field. This study implements bibliometric analysis recognize main documents, type publications, categories, countries, keywords, organizations, authors related topic. Methods: Web Science core collection...
This article proposes a new adaptive control algorithm for active suspension systems of passenger cars. It combines proportional–integral–derivative controller deflection together with sliding mode reference conditioning outer loop that uses the vertical acceleration car body as complementary source control. The proposed approach is software-based and allows setting up limit values to critical variables, such acceleration, which can be directly tuned by system designer range from original...
Introduction: Continuous glucose monitoring (CGM) is a better tool to detect hyper and hypoglycemia than capillary point of care in insulin-treated patients during hospitalization. We evaluated the incidence with type 2 diabetes (T2D) treated basal bolus insulin regimen using CGM factors associated hypoglycemia. Methods: Post hoc analysis prospective cohort study. Hypoglycemia was documented terms rate percentage time <54 mg/dL (3.0 mmol/L) <70 (3.9 mmol/L). Factors included glycemic...
Introduction: Clinical interventional studies in diabetes mellitus usually exclude patients undergoing peritoneal dialysis (PD). This study evaluates the impact of an educational program and a basal-bolus insulin regimen on blood glucose level control risk hypoglycemia this population. Methods: A before-and-after was conducted type 1 2 DM PD at Renal Therapy Services (RTS) clinic network, Bogota, Colombia. An intervention instituted consisting three-month detemir (Levemir, NovoNordisk)...
Background: The use of machine learning and deep techniques in the research on diabetes has garnered attention recent times. Nonetheless, few studies offer a thorough picture knowledge generation landscape this field. To address this, bibliometric analysis scientific articles published from 2000 to 2022 was conducted discover global trends networks emphasize most prominent countries, institutions, journals, articles, key topics domain. Methods: Scopus database used identify retrieve...
This paper presents a novel control strategy for fully automated insulin delivery (fAID) systems aiming to treat people with type 1 diabetes, considering parametric uncertainties in the glucose-insulin model, sensor noise and delay, saturation of action related inability increase glucose from infusion. A constrained robust regulator linear discrete-time Markov jump systems, incorporating Kalman filter, referred as Markovian controller, was designed validated in-silico fAID system. demanding...
Insulin stacking is one of the major concerns in intensive insulin therapy for type 1 diabetes. Despite development several control strategies constraining insulin-on-board (IOB), benefits and drawbacks this constraint under hypo- hyperglycemia sensitivity scenarios have not been deeply analyzed model-based controllers. Here, a safety layer based on IOB estimation coupled with an impulsive offset-free zone model predictive to tackle problem. First, resulting glycemic behavior applying...