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The NeuroML model description language, with its extensive software ecosystem, supports researchers in the development of FAIR, data-driven, biologically detailed models of neural systems.

Super-resolution microscopy sets a new strategy to comprehend the membrane organization of γ-secretase at single complex resolution identifying nanodomain associations and its diffusion in situ in the living membrane.

A type 2 diabetes polygenic risk score and family history of diabetes are strongly and independently associated with multiple gestational diabetes-related traits in women of South Asian descent.

The multimodal linked independent component analysis promotes a more integrative understanding of transdiagnostic mechanisms of psychopathology.

An integrated stem cell-based disease modeling and computational approach demonstrates how proximal airway epithelium is critical for SARS-CoV-2 infectivity and distal alveolar cells are critical for simulating the host responses.

In silico modeling identify allosteric CXCR4 modulators that block receptor nanoclustering and chemoattractant sensing without affecting other CXCL12-mediated functions, and reduce tumorigenesis and metastasis in a zebrafish model.

Two zebrafish Keap1-paralogs are equally adept at electrophile-sensing but manifest divergent and co-regulatory electrophile-signaling behaviors.

Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.

Children with ASD showed a significant divergence in gaze patterns compared to typically developing children, intensifying over early childhood, with implications for developmental and adaptive functioning.

Targeted manipulations on organotypic cultures show that the retina switches between at least four different metabolic pathways, each with different yields and kinetics, to dynamically adapt to momentaneous energy needs.