The availability of multi-omics data sets and genome-scale metabolic models for various
organisms provide a platform for modeling and analyzing genotype-to-phenotype …

Precision medicine is an emerging paradigm that aims at maximizing the benefits and
minimizing the adverse effects of drugs. Realistic mechanistic models are needed to …

Drug-induced perturbations of the endogenous metabolic network are a potential root cause
of cellular toxicity. A mechanistic understanding of such unwanted side effects during drug …

Metabolic modeling enables the study of human metabolism in healthy and in diseased
conditions, eg, the prediction of new drug targets and biomarkers for metabolic diseases. To …

Abstract Type 1 diabetes (T1D) mellitus is a systemic disease triggered by a local
autoimmune inflammatory reaction in insulin-producing cells that induce organ-wide, long …

The increasing antimicrobial resistance has seriously threatened human health worldwide
over the last three decades. This severe medical crisis and the dwindling antibiotic discovery …

The scope of physiologically based pharmacokinetic (PBPK) modeling can be expanded by
assimilation of the mechanistic models of intracellular processes from systems biology field …

The current diagnosis of diabetic retinopathy is based on fundus images and clinical
experience. However, considering the ineffectiveness and non-portability of medical …

For more than a decade, the model-based approach to signal processing based on state
space models (SSMs) and factor graphs is being pursued at the Signal and Information …

Mitochondria are central to the physiology and survival of nearly all eukaryotic cells and
house diverse metabolic processes including oxidative phosphorylation, reactive oxygen …