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.

A coarse-grained model of microbial growth coupling fluxes of carbon and energy shows that resource allocation is a major explanatory factor of the observed variability of growth rates and growth yields across different bacterial strains.

A developed and validated nomogram better predicts the risk of hypertension based on a 10-year retrospective cohort study in China.

A new agent-based model enables predicting how coral species richness and functional diversity affect the functioning and resilience of coral reef ecosystems.

A smartphone app incorporating clinical prediction models using patient-specific and location-specific data sources in a modular approach could predict viral-only etiology of diarrhea in children under five in Bangladesh and Mali.

Metabolomic analyses have developed and validated serum androstenedione as a reliable and effective diagnostic and predictive biomarker for primary angle closure glaucoma in clinical routines.

A mathematical model of bias in marker-gene and metagenomic sequencing measurements explains systematic errors in defined mixtures of microbial species, and enables quantitative and reproducible investigation of biological communities.

Multimodal spectroscopy (smFRET, EPR, SAXS, and SANS) and integrative structural modeling reveal large-scale domain rearrangements in human guanylate binding protein 1 (hGBP1) that are driving forces for the formation of oligomers that enable its biological function in innate immune defense.

The axial organization and dynamics of the HOPS complex at membrane surface are resolved by graphene-induced energy transfer with subnanometer resolution.

A mechanistic mathematical model informed by standard‐of‐care imaging and pathology predicts tumor responses to immunotherapy a priori on a per-patient basis.