Browse our latest Medicine articles

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.

Aging is associated with mitochondrial and cytosolic iron accumulation in the brain, which is through increased local expression of hepcidin, and subsequent iron accumulation due to decreased iron export through ferroportin-1.

Detailed studies of excitation contraction coupling allowed determination of quantitative relationships between resting potential, generation of action potentials, conduction of action potentials, and generation of Ca²⁺ transients in individual mouse skeletal muscle fibers.

As well as preventing bone loss, bisphosphonate drugs may boost early immune responses in the lung by acting directly on alveolar macrophages that form one of the first lines of defence against infection.

A two-sample Mendelian randomization study suggested a potential causal relationship between HMGCR inhibition and the reduced risk of COVID-19 hospitalization.

Measuring surface proteins on extracellular vesicles enables quantitative comparison of different isolation methods and optimization of size exclusion chromatography.

The application of topological network analysis on multicenter high-frequency intra-operative physiology data discovers a precise range of blood pressure during surgery predicting poor recovery in spinal cord injury patients.

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

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 transcriptome-based pipeline (scAAVengr) quantifies and ranks competing adeno-associated viral vectors in primate retina, and mouse brain, heart, and liver, simultaneously and across all cell types, in the same animal, with single-cell resolution.