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Tissue drives lesion: computational evidence of interspecies variability in cardiac radiofrequency ablation
(HE 10TH INTERNATIONAL CONFERENCE ON FUNCTIONAL IMAGING AND MODELING OF THE HEART, 2019)
Radiofrequency catheter ablation (RFCA) is widely used for the treatment of various types of cardiac arrhythmias. Typically, the efficacy and the safety of the ablation protocols used in the clinics are derived from tests ...
SDE-driven modeling of phenotypically heterogeneous tumors: The influence of cancer cell stemness
(Discrete and Continuous Dynamical Systems - Series B, 2019)
We deduce cell population models describing the evolution of a tumor (possibly interacting with its environment of healthy cells) with the aid of differential equations. Thereby, different subpopulations of cancer cells ...
Glioma invasion and its interplay with the nervous tissue: a multiscale model
(2019)
A multiscale mathematical model for glioma cell migration and proliferation is proposed, taking into account a possible therapeutic approach. Starting with the description of processes taking place on the subcellular level, ...
Machine learning framework for assessment of microbial factory performance
(Plos ONE, 2019-01-01)
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess ...
Conductance-Based Refractory Density Approach for a Population of Bursting Neurons
(Bulletin of Mathematical Biology, 2019)
The conductance-based refractory density (CBRD) approach is a parsimonious mathematical-computational framework for modeling interact- ing populations of regular spiking neurons, which, however, has not been yet extended ...
Coupled thermo-electro-mechanical models for thermal ablation of biological tissues and heat relaxation time effects
(Physics in Medicine & Biology, 2019)
Thermal ablation is a widely applied electrosurgical process in medical treatment of soft
biological tissues. Numerical modeling and simulations play an important role in prediction
of temperature distribution and ...
Spectral properties of hyperbolic nano-networks with tunable aggregation of simplexes
(Physical Review E, 2019)
Cooperative self-assembly is a ubiquitous phenomenon found in natural systems which is used for designing nanostructured materials with new functional features. Its origin and mechanisms, leading to improved functionality ...
Valley-dependent Lorentz force and Aharonov-Bohm phase in strained graphene p-n junction
(PHYSICAL REVIEW B, 2019)
Veselago lens focusing in graphene p-n junction is promising for realizations of new generation electron optics devices. However, the effect of the strain-induced Aharonov-Bohm interference in a p-n junction has not been ...
Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
(ACS Synthetic Biology, 2019-01-01)
The Design–Build–Test–Learn (DBTL) cycle, facilitated by exponentially improving capabilities in synthetic biology, is an increasingly adopted metabolic engineering framework that represents a more systematic and efficient ...
Modeling microstructure evolution in shape memory alloy rods via Legendre wavelets collocation method
(JOURNAL OF MATERIALS SCIENCE, 2019)
Microstructures play an important role in the research on shape memory alloys (SMA). By using mathematical modeling tools to study microstructures, it is possible to predict the behaviors of these materials under applied ...