A computer model of human cardiomyocyte was produced and validated on independent datasets, overcoming shortcomings of its predecessors, also yielding broadly relevant insights and results on major ionic currents.

Combination of deep learning models trained on tissue-specific genomic data and fine-mapping approaches supports efforts to identify causal variants and mechanisms at GWAS loci.

Integrated experimental-computational approaches were implemented to reveal the dynamic conformational landscape of a biologically relevant protein methyltransferase SETD8 for functional annotation.

Mirroring human patients with ARID1B mutations, Arid1b haploinsufficient mice exhibited numerous neuropsychiatric defects and revealed IGF1 deficiency related growth impairment that could be ameliorated with growth hormone supplementation.

Brain lactate and pH changes, identified as common features in diverse neuropsychiatric animal models, may represent transdiagnostic endophenotypes associated with cognitive impairment.

Dual resin casting of multiple lumenized systems followed by microCT allows visualization, digitalization, and quantification of architectural parameters defining the vascular and biliary systems in liver revealing new phenotypes.

A chemical biology approach has identified the kinase DYRK1A as a new regulator of the inflammatory response.

A novel methodology, using diversity search AI algorithms, for exploring the space of possible behaviors of gene regulatory networks, from the perspective of generic problem-solving agents navigating their environment.

A multi-cohort analysis of 2,500 gut microbiomes and five major diseases discovers that disease-microbiome associations display specific age-centric trends, with diseases characterized by age-centric trends of species gain/loss.

The combination of phenotypic measures of antigenic drift and genotypic measures of functional constraint improves the accuracy of long-term seasonal influenza A/H3N2 forecasts.