The field of machine learning is comprised of techniques, which have proven powerful
approaches to knowledge discovery and construction of 'digital twins' in the highly …

The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …

Cardiac electrophysiology models are among the most mature and well‐studied
mathematical models of biological systems. This maturity is bringing new challenges as …

Motivation Kinetic models contain unknown parameters that are estimated by optimizing the
fit to experimental data. This task can be computationally challenging due to the presence of …

Motivation: Many problems of interest in dynamic modeling and control of biological systems
can be posed as non-linear optimization problems subject to algebraic and dynamic …

Background The past decades of research have seen an increase in statistical tools to
explore the complex dynamics of mental health from patient data, yet the application of these …

Mechanistic mathematical modeling of biochemical reaction networks using ordinary
differential equation (ODE) models has improved our understanding of small-and medium …

Background Kinetic models of biochemical systems usually consist of ordinary differential
equations that have many unknown parameters. Some of these parameters are often …