Modeling biology spanning different scales: an open challenge
F Castiglione, F Pappalardo, C Bianca… - BioMed research …, 2014 - Wiley Online Library
It is coming nowadays more clear that in order to obtain a unified description of the different
mechanisms governing the behavior and causality relations among the various parts of a …
mechanisms governing the behavior and causality relations among the various parts of a …
Diabetes-related neurological implications and pharmacogenomics
CA Rojas-Carranza, RH Bustos-Cruz… - Current …, 2018 - ingentaconnect.com
Diabetes mellitus (DM) is the most commonly occurring cause of neuropathy around the
world and is beginning to grow in countries where there is a risk of obesity. DM Type …
world and is beginning to grow in countries where there is a risk of obesity. DM Type …
Mesenchymal stem cells ameliorate β cell dysfunction of human type 2 diabetic islets by reversing β cell dedifferentiation
L Wang, T Liu, R Liang, G Wang, Y Liu, J Zou, N Liu… - …, 2020 - thelancet.com
Background A physiological hallmark of patients with type 2 diabetes mellitus (T2DM) is β
cell dysfunction. Despite adequate treatment, it is an irreversible process that follows …
cell dysfunction. Despite adequate treatment, it is an irreversible process that follows …
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records
Background Insulin resistance is an early-stage deterioration of Type 2 diabetes.
Identification and quantification of insulin resistance requires specific blood tests; however …
Identification and quantification of insulin resistance requires specific blood tests; however …
Emulating complex simulations by machine learning methods
P Stolfi, F Castiglione - BMC bioinformatics, 2021 - Springer
Background The aim of the present paper is to construct an emulator of a complex biological
system simulator using a machine learning approach. More specifically, the simulator is a …
system simulator using a machine learning approach. More specifically, the simulator is a …
Personalizing physical exercise in a computational model of fuel homeostasis
The beneficial effects of physical activity for the prevention and management of several
chronic diseases are widely recognized. Mathematical modeling of the effects of physical …
chronic diseases are widely recognized. Mathematical modeling of the effects of physical …
A closed-loop multi-level model of glucose homeostasis
Background The pathophysiologic processes underlying the regulation of glucose
homeostasis are considerably complex at both cellular and systemic level. A comprehensive …
homeostasis are considerably complex at both cellular and systemic level. A comprehensive …
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
Background The aim of a recent research project was the investigation of the mechanisms
involved in the onset of type 2 diabetes in the absence of familiarity. This has led to the …
involved in the onset of type 2 diabetes in the absence of familiarity. This has led to the …
[HTML][HTML] Effects of walking on low-grade inflammation and their implications for Type 2 Diabetes
M Morettini, F Storm, M Sacchetti, A Cappozzo… - Preventive medicine …, 2015 - Elsevier
Objective Inflammatory cytokines released by hypertrophic adipocytes contribute to low-
grade inflammation, a characteristic of Type 2 Diabetes. Skeletal muscle contraction during …
grade inflammation, a characteristic of Type 2 Diabetes. Skeletal muscle contraction during …
Computational anatomy based on whole body imaging
H Kobatake, Y Masutani - Springer, 2017 - Springer
The origin of research on computational anatomy can be traced back approximately a
century. The famous book On Shape and Growth by D'Arcy Wentworth Thompson was …
century. The famous book On Shape and Growth by D'Arcy Wentworth Thompson was …