Publications by authors named "Pablo S Rivadeneira"
Article Synopsis
- Flash glucose monitoring systems like the FreeStyle Libre (FSL) are popular for tracking glucose levels in diabetes, and a new modified system (c-rtCGM) allows for remote monitoring and trend analysis.
- This study aimed to compare the accuracy and agreement of the FSL sensor with the c-rtCGM by analyzing data from diabetic rats and assessing their connectivity every 5 minutes.
- Results showed that the c-rtCGM had a Median absolute relative difference (Median ARD) of 6.58% compared to the FSL, improving to 2.41% with more frequent calibration, while also demonstrating 95% connectivity for data reception.
Article Synopsis
- The study compares the accuracy of the FreeStyle Libre sensor with a converted real-time continuous glucose monitoring device (c-rtCGM) using data from 21 participants with type 1 diabetes over four weeks.
- Two measurement approaches were examined: one with a single initial calibration (uncalibrated) and the other with daily calibrations (calibrated).
- Results showed that daily calibrations significantly improved accuracy, with a mean absolute relative difference (MARD) of 12.06%, while uncalibrated readings had a higher MARD of 17.49% and were less reliable, particularly in low glucose levels or fast changes.
Article Synopsis
- - The control strategies for artificial pancreas systems aim to calculate appropriate insulin doses for type 1 diabetes patients to manage blood glucose levels and prevent both high (hyperglycemia) and low (hypoglycemia) blood sugar episodes.
- - These strategies include a safety constraint known as insulin on board (IOB) estimation to minimize risks of hypoglycemia due to excessive insulin doses, which varies from patient to patient.
- - A new impulsive model predictive controller was developed, incorporating an adaptive safety layer that considers individual glycemia levels and physiological changes, achieving a 92% time in normoglycemia and eliminating hypoglycemia without significantly increasing hyperglycemia risk.
Article Synopsis
- * This paper evaluates six embedded platforms and three optimization solver algorithms to assess their effectiveness for T1D treatment, using a methodology that simulates virtual adult subjects.
- * The results indicate that Quadprog aligns closely with MATLAB's output for T1D control strategies, while the Raspberry Pi 3 and Tinker Board S are identified as suitable embedded systems for portable use in artificial pancreas applications.
Article Synopsis
- - Oncolytic virus therapy is a cancer treatment that uses viruses to specifically infect and destroy tumor cells, and there's a need to enhance our understanding and efficacy of this approach for better patient outcomes.
- - Recent mathematical modeling focused on optimizing treatment protocols for breast cancer using genetically engineered adenoviruses highlights the complexity of determining the right number, schedule, and dosage of viral injections needed for effective tumor reduction.
- - Applying control theory to oncolytic virus therapy suggests that at least three viral injections are necessary for significant tumor control, and an innovative feedback control system can personalize and optimize dosing to improve treatment results compared to previous methods.
Article Synopsis
- The paper addresses the challenges in drug administration for biomedical applications, focusing on the need for effective control strategies to manage plant-model mismatches caused by physiological changes in patients.
- It proposes a novel offset-free model predictive control (MPC) strategy specifically designed for impulsive control systems, which aims to eliminate tracking errors during treatment.
- The strategy involves a new impulsive disturbance model and observer design, demonstrating its effectiveness through a detailed analysis and application to a dynamical model for type 1 diabetic patients.
Article Synopsis
- This study addresses the longstanding challenge of quickly reducing high blood sugar levels in type-1 diabetes without causing dangerously low levels (hypoglycemia).
- It introduces a new control algorithm that ensures hypoglycemia is avoided while adjusting blood sugar in real-time, utilizing a validated feedback mechanism.
- Simulations on a diverse group of virtual patients show promising results, paving the way for future clinical trials to test this hypo-free strategy in real-life scenarios.
Article Synopsis
- - This review highlights how mathematical tools can enhance our understanding of HIV dynamics, particularly in diagnosing immunological failures shortly after treatment begins.
- - Results from a clinical trial indicate that models predicting immunological failure align with patient monitoring after six months of therapy.
- - The review discusses two innovative methods for developing personalized anti-HIV treatments that optimize immune recovery and minimize side effects, making drug dosages more interpretable for clinicians and patients.
Article Synopsis
- - The study proposes a new method to design HIV therapies that minimize side effects using a mathematical model that tracks the impact on healthy and infected T-cells as well as viral load.
- - It develops a control system that optimizes drug dosages based on continuous monitoring of blood results, aiming to balance effective treatment and reduced collateral damage.
- - The findings suggest that while initial and final doses can be higher, adjusting the dosing strategy over time creates a stable health outcome, though it may lead to higher viral loads than recommended at the end of the treatment.