Despite increasingly detailed knowledge of the biochemical processes involved in the
determination of meat quality traits, robust models, using biochemical characteristics of the …

Several studies in recent times have linked gut microbiome (GM) diversity to the
pathogenesis of cancer and its role in disease progression through immune response …

In silico cancer models have demonstrated great potential as a tool to improve drug design,
optimise the delivery of drugs to target sites in the host tissue and, hence, improve …

To date, battery research largely follows an “Edisonian” approach based on experimental
trial-and-error in contrast to a systematic strategy of design-of-experiments. Battery …

Motivation Agent-based modeling is an indispensable tool for studying complex biological
systems. However, existing simulation platforms do not always take full advantage of …

Modelling can provide intellectual frameworks that are necessary to translate data into
knowledge. Mathematical modelling has played an important role in many applications …

Implementing a proper learning model during the post COVID-19 pandemic is fundamental
for learning quality enhancement, specifically for students' conceptual mastery. The research …

Multiscale computational modeling aims to connect the complex networks of effects at
different length and/or time scales. For example, these networks often include intracellular …

Transcription factors are important cellular components of the process of gene expression
control. Transcription factor binding sites are locations where transcription factors …

Metabolism is considered to be the core of all cellular activity. Thus, extensive studies of
metabolic processes are ongoing in various fields of biology, including cancer research …