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您的检索式：作者名="Peter R.Cook"
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| 1 | Stratification of Patients with Diabetes Using Continuous Glucose Monitoring Profiles and Machine Learning显示文摘Background.Continuous glucose monitoring(CGM)offers an opportunity for patients with diabetes to modify their lifestyle tobetter manage their condition and for clinicians to provide personalized healthcare and lifestyle advice.However,analytic toolsare needed to standardize and analyze the rich data that emerge from CGM devices.This would allow glucotypes of patients tobe identified to aid clinical decision-making.Methods.In this paper,we develop an analysis pipeline for CGM data and applyit to 148 diabetic patients with a total of 8632 days of follow up.The pipeline projects CGM data to a lower-dimensional spaceof features representing centrality,spread,size,and duration of glycemic excursions and the circadian cycle.We then useprincipal components analysis and k-means to cluster patients’records into one of four glucotypes and analyze clustermembership using multinomial logistic regression.Results.Glucotypes differ in the degree of control,amount of time spent inrange,and on the presence and timing of hyper-and hypoglycemia.Patients on the program had statistically significantimprovements in their glucose levels.Conclusions.This pipeline provides a fast automatic function to label raw CGM datawithout manual input. | Yinan Mao Kyle Xin Quan Tan Augustin Seng Peter Wong Sue-Anne Toh Alex R.Cook | 2022 | Health Data Science2022，，1： | 0 |
| 2 | Predicting flows through microfluidic circuits with fluid walls显示文摘The aqueous phase in traditional microfluidics is usually confined by solid walls;flows through such systems are often predicted accurately.As solid walls limit access,open systems are being developed in which the aqueous phase is partly bounded by fluid walls(interfaces with air or immiscible liquids).Such fluid walls morph during flow due to pressure gradients,so predicting flow fields remains challenging.We recently developed a version of open microfluidics suitable for live-cell biology in which the aqueous phase is confined by an interface with an immiscible and bioinert fluorocarbon(FC40).Here,we find that common medium additives(fetal bovine serum,serum replacement)induce elastic no-slip boundaries at this interface and develop a semi-analytical model to predict flow fields.We experimentally validate the model’s accuracy for single conduits and fractal vascular trees and demonstrate how flow fields and shear stresses can be controlled to suit individual applications in cell biology. | Cyril Deroy Nicholas Stovall-Kurtz Federico Nebuloni Cristian Soitu Peter R.Cook Edmond J.Walsh | 2021 | Microsystems & Nanoengineering2021，7，6： | 0 |
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