It is possible to accurately recommend antimicrobial drugs from mass spectra using neural networks and large datasets, paving the way for more efficient clinical diagnostics.

The Botryllus schlosseri genome yields insights into the evolution of hematopoiesis.

All parts of the USA are similarly adapted to temperature seasonality, although mortality seasonality, and how it has changed since the 1980s, depend on age and sex.

Endo-siRNAs slow down the rate of aging and enable the maintenance of a responsive heat shock response in aging germline-less Caenorhabditis elegans.

A novel deep-learning framework shows how to interpret and decode raw neural recordings, avoiding the need for strong prior hypotheses, revealing a novel representation of head direction.

The new method and reported findings address a growing interest in neuroscience for research tools that can reliably decompose brain activity at the mesoscopic scale into interpretable components.

The Timothy syndrome mutation in Ca_v1.2 gives rise to defects in neuronal differentiation by preventing a developmental switch in channel splicing and elevating calcium signaling in differentiating cells.

A method to profile hair pigmentation patterns establishes a new approach for psychobiological studies and links metabolic changes to greying in humans.

A combination of signal processing and machine learning form a new approach to classify oscillatory coupling in single cycles without averaging over time and to capture cycle-by-cycle changes in coupling.

Persistent, non-random sensorimotor connectivity reveals the capacity of intrinsic spinal networks to purposefully replay and modify learned patterns of neural transmission during unconsciousness.