Immune digital twins for complex human pathologies: applications, limitations, and challenges.

Digital twins represent a key technology for precision health. Medical digital twins consist of computational models that represent the health state of individual patients over time, enabling optimal therapeutics and forecasting patient prognosis. Many health conditions involve the immune system, so it is crucial to include its key features when designing medical digital twins.

Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility.

During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related issues assembled to discuss the topics. These discussions exposed the reproducibility crisis that leads to inability to reuse and integrate models.

Identifying important parameters in the inflammatory process with a mathematical model of immune cell influx and macrophage polarization.

In an inflammatory setting, macrophages can be polarized to an inflammatory M1 phenotype or to an anti-inflammatory M2 phenotype, as well as existing on a spectrum between these two extremes. Dysfunction of this phenotypic switch can result in a population imbalance that leads to chronic wounds or disease due to unresolved inflammation. Therapeutic interventions that target macrophages have therefore been proposed and implemented in diseases that feature chronic inflammation such as diabetes mellitus and atherosclerosis.

Correction to: A mathematical model of the effects of resistance exercise-induced muscle hypertrophy on body composition.

There is a typo in the original equation describing lean mass, and it has also been pointed out to the authors that the model is not strictly energy balanced.

A mathematical model of the effects of resistance exercise-induced muscle hypertrophy on body composition.

Purpose: Current diet and exercise methods used to maintain or improve body composition often have poor long-term outcomes. We hypothesize that resistance exercise (RE) should aid in the maintenance of a healthy body composition by preserving lean mass (LM) and metabolic rate.

Method: We extended a previously developed energy balance model of human metabolism to include muscle hypertrophy in response to RE.

Integrating Undergraduate Patient Partners into Diabetes self-management education: Evaluating a free clinic pilot program for the Underserved.

Background: Diabetes self-management education (DSME) improves glycemic control and health outcomes in patients with diabetes.

Objective: A process evaluation of a two-year pilot intervention examined the feasibility and acceptability of undergraduate volunteers as Patient Partners to foster DSME participation among the underserved.Design setting, and participants.