Over the last decade, increasing interest has been attracted towards the application of
artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

In cancer, one of the main barriers to effective chemotherapy is inefficient drug delivery. The
delivery of drugs to solid tumors involves various biochemical, biophysical, and mechanical …

Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

In general perturbation methods starts with a known exact solution of a problem and add
“small” variation terms in order to approach to a solution for a related problem without known …

Many drugs with very different affinity to a large number of receptors are described. Thus, in
this work, we selected drug− target pairs (DTPs/nDTPs) of drugs with high affinity/nonaffinity …

Background The bacteraemia prediction is relevant because sepsis is one of the most
important causes of morbidity and mortality. Bacteraemia prognosis primarily depends on a …

Flavonoids are phenolic compounds, secondary metabolites of plants that cause several
benefits to our health, including helping the treatment against cancer. These …

The interest on computational techniques for the discovery of neuroprotective drugs has
increased due to recent fail of important clinical trials. In fact, there is a huge amount of data …