Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

Individualizing patient treatment is a core objective of the medical field. Reaching this
objective has been elusive owing to the complex set of factors contributing to both disease …

Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and
dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from …

The human immune system is composed of a distributed network of cells circulating
throughout the body, which must dynamically form physical associations and communicate …

Personalized medicine requires the integration and processing of vast amounts of data.
Here, we propose a solution to this challenge that is based on constructing Digital Twins …

Single-cell gene expression (transcriptomics) data are becoming robust and abundant, and
are increasingly used to track organisms along their life-course. This allows investigation …

The development of new drugs is multidisciplinary and systematic work. High-throughput
techniques based on “-omics” have driven the discovery of biomarkers in diseases and …

Parvoviruses are a diverse family of small, non-enveloped DNA viruses that infect a wide
variety of species, tissues and cell types. For over half a century, their intriguing biology and …

Background The concept of digital twins has great potential for transforming the existing
health care system by making it more personalized. As a convergence of health care …

The use of digital twins (DTs) has proliferated across various fields and industries, with a
recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds …