Ever present hurdles for the discovery of new drugs for cancer therapy have necessitated
the development of the alternative strategy of drug repurposing, the development of old …

Gastrointestinal (GI) cancers comprise a significant number of cancer cases worldwide and
contribute to a high percentage of cancer-related deaths. To improve survival rates of GI …

Although drug combinations in cancer treatment appear to be a promising therapeutic
strategy with respect to monotherapy, it is arduous to discover new synergistic drug …

The past decade has seen an explosion in the collection of genotype data in domains as
diverse as medicine, ecology, livestock and plant breeding. Along with this comes the …

Simple Summary The heterogeneity of complicated diseases like cancer negatively affects
patients' responses to treatment. Finding homogeneous subgroups of patients within the …

Background Risk-adjustment (RA) models are used to account for severity of illness in
comparing patient outcomes across hospitals. Researchers specify covariates as main …

Different diseases can be treated with various therapeutic agents. Drug discovery aims to
find potential molecules for existing and emerging diseases. However, factors, such as …

Synergistic drug combination is a promising solution to cancer treatment. Since the
combinatorial space of drug combinations is too vast to be traversed through experiments …

With more and more data being generated in the life sciences the application of
computational algorithms and Artificial Intelligence (AI) for drug discovery in general, and …

In 2013, Valeant Pharmaceuticals, a specialty pharmaceutical company, received the
intellectual property rights to a lead poisoning treatment known as Calcium EDTA as part of …