Quantitative models and data-driven approaches developed for the COVID-19 pandemic and predicting SARS-Cov-2 comorbidities for high-risk populations including hypertension show that the future of large-scale biomedical science will be significantly underscored by data-driven decision-making and AI knowledge-based development and validation.

Using multiple analysts to independently analyze the same dataset has the potential to explore and strengthen the robustness of results and conclusions in basic and applied research.

A longitudinal study of open access levels at 1,207 research institutions worldwide reveals high performing institutions in Latin America, Africa and Asia.

Using different sets of input sequences to evolutionary reconstruction algorithms results in the exploration of many possible models, the intergration over which produces significantly more accurate models.

An ellipse of insignificant analysis is a robust method for ascertaining the strength of even large dichotomous outcome trials in biomedical science, and is a novel means to detect potentially dubious results and research fraud.

Cells control signal circulation to set the frequency of information transmitted over tissue scales.

Mathematical methods based on geometry that directly embody the developmental concepts of competency, commitment, and determination provide succinct descriptions of morphogenesis and allow quantitative predictions from fits to sparse genetic data in Caenorhabditis elegans.

Selection bias, also known as collider bias, likely explains the apparent protective effect of G6PD deficiency against cerebral falciparum malaria.

Phototaxis and courtship behavioral preferences reflect strong correlation with differences in olfactory and visual nervous system investment across five monophyletic Drosophila species, and could help explain their speciation events.

The Reproducibility Project: Cancer Biology will generate a high-quality dataset to explore questions about the reproducibility of research, and will make all data, analysis and other research materials openly available to the research community.