Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

Neural networks can emulate normal and abnormal human ventricular action potentials accurately and potentially much faster than regular simulations paving the way for more efficient quantitative systems pharmacology studies.

Experiments and modeling suggest that a mechanism involving positive and negative feedback can explain the relationship between the neural activity of socially interacting bats.

Biochemical studies in combination with computational modeling and molecular dynamics simulations reveal that the lipid bilayer promotes intramembrane proteolysis by stabilizing the enzyme-substrate complex and the protease active site.

Pharmacometric evaluation of viral clearance rates based on frequent oropharyngeal sampling is a highly efficient and well-tolerated method of assessing and comparing SARS-CoV-2 antiviral therapeutics in vivo.

Two different analysis approaches for measuring neural synchronization to natural music revealed strongest synchronization to musical spectral flux as opposed to the more commonly used amplitude envelope.

The asymptomatic colonization and importation of methicillin-resistant Staphylococcus aureus (MRSA) in hospital settings can be inferred from observed cases using combined model-inference methods and used to inform improved interventions.

Kinesin-4 KIF21B promotes rapid reorientation of the microtubule network during formation of immunological synapse in T cells by acting as a pausing and catastrophe-inducing factor that keeps microtubules short.

An inference paradigm for extracting neuronal correlations from two-photon imaging data, without requiring intermediate spike deconvolution, provides significant performance gains over existing methods as demonstrated by theoretical analysis, simulation studies, and real-data applications.

Modeling glioblastoma using expression of relevant human oncogenes in syngeneic zebrafish offers a powerful platform for current and future biological discovery, diagnostics, and therapeutic testing in an intact tumor microenvironment.