Petar Todorov

TL;DR: In this article, a machine learning framework was proposed to identify potential associations between the pathology of AD severity and gene-based molecular mechanisms to enable drug repurposing in clinical trials of novel therapeutics for Alzheimer's disease.

TL;DR: The proposed INDRA-IPM contextualizes models with expression data and exports them to standard formats, which combines natural language processing with automated model assembly and visualization for pathway map modeling and visualization.

TL;DR: While the overall number and types of mutations did not differ significantly, the overall frequency changes in DLBCL driver genes were identified, and these findings hold significance for a number of emerging targeted therapies aligned to genetic targets and biomarkers inDLBCL.

TL;DR: Merino et al. as discussed by the authors presented a multivariate genome-wide association analysis of overall variation in dietary intake to account for the correlation between dietary carbohydrate, fat and protein in 282,271 participants of European ancestry from the UK Biobank and Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.

TL;DR: An approach to generate a multidimensional biomarker panel for mechanistic de-risking and prediction of kidney toxicity in in vitro for new therapeutic candidates and chemical entities is reported.