The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …

Drug repurposing is a convenient alternative when the need for new drugs in an unexpected
medical scenario is urgent, as is the case of emerging pathogens. In recent years …

This article reviews the current knowledge and recent advancements in computational
modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms …

Background Autoimmune diseases are heterogeneous pathologies with difficult diagnosis
and few therapeutic options. In the last decade, several omics studies have provided …

Advances in research have boosted therapy development for congenital disorders of
glycosylation (CDG), a group of rare genetic disorders affecting protein and lipid …

More than 7,000 rare diseases (RDs) exist worldwide, affecting approximately 350 million
people, out of which only 5% have treatment. The development of novel genome …

Here we present a web interface that implements a comprehensive mechanistic model of the
SARS-CoV-2 disease map. In this framework, the detailed activity of the human signaling …

The sustained generation of genomic data in the last decade has increased the knowledge
on the causal mutations of a large number of diseases, especially for highly penetrant …

Rare diseases (RDs), affecting 300 million people globally, present a daunting public health
challenge characterized by complexity, limited treatment options, and diagnostic hurdles …