The RIPOSTE framework has been developed to support early and regular discussions between scientists and statisticians in order to improve the design, conduct and analysis of laboratory studies.

A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.

Recent advances in Bayesian optimal experimental design have made it possible to improve the efficiency and informativeness of experiments using machine learning, and shed new light on considerations that affect machine learning assisted experimental designs and computational models in general.

Silencing L2 neurons that project to C6 after a T9 contusion, effectively removing spared axons, results in improved paw placement timing and order, and normalizes speed-dependent changes in swing and stance representing a significant neuroanatomical-functional paradox for spinal cord injury.

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.

Driving theta–gamma activity in the human cortex with non-invasive brain stimulation enhances motor skill acquisition in healthy adults, revealing a potential neuroplastic mechanism that might be harnessed for therapeutic intervention.

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

After playing violent video games for 7 hr over the course of 2 weeks, human male participants show neither signs of decreased empathy for the pain of another person nor of decreased responsivity to violent images.

The combination of computational modeling and protein design can reveal key determinants of antibody–antigen binding and optimize small sets of antigen variants for efficient experimental localization of epitopes.

The first successful de novo design of a homo-trimeric protein that binds a C3 symmetric small molecule larger than a metal ion is an advance for computational protein design.