This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...

Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all ...

Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Systems biology is an integrative approach that examines biological systems as interconnected networks of genes, proteins, and metabolites, aiming to understand their dynamic behavior rather than ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

If the last two decades were defined by digital infrastructure, cloud computing, and data centres, the next may be defined by ...

Biological systems are inherently complex. Identifying patterns in biological systems is a daunting, time consuming endeavor. Biomedical engineers at Duke University have created a novel artificial ...

Ever better experimental techniques allow us to perform experiments under tightly controlled conditions and can deliver gigantic amounts of data reflecting the complexity of biology. This has vastly ...