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

Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations
to take decisions. The field of cardiac simulation has begun to explore and adopt UQ …

It is widely acknowledged that the construction of large-scale dynamic models in systems
biology requires complex modelling problems to be broken up into more manageable …

There is an inherent tension in Quantitative Systems Pharmacology (QSP) between the
need to incorporate mathematical descriptions of complex physiology and drug targets with …

Advanced computational techniques and mathematical modeling have become more and
more important to the study of cardiac electrophysiology. In this review, we provide a brief …

Models of electrical activation and recovery in cardiac cells and tissue have become
valuable research tools, and are beginning to be used in safety-critical applications …

Ion channel behavior can depend strongly on temperature, with faster kinetics at
physiological temperatures leading to considerable changes in currents relative to room …

Modern biology and biomedicine are undergoing a big data explosion, needing advanced
computational algorithms to extract mechanistic insights on the physiological state of living …

Like all physical systems, biological systems are constrained by the laws of physics.
However, mathematical models of biochemistry frequently neglect the conservation of …

The paper suggests the use of diagnostic features in the form of decomposition coefficients
of electrocardiograms statistical estimates in the normal range and in different types of …