Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Is there really such a thing as human nature? The answer lies between two old extremes, and getting it right shapes how we face AI, authoritarianism, and climate.

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

This is achieved via Bayesian Design of Experiments, which helps to efficiently navigate parameter search spaces. It balances exploitation of parameter space regions known to lead to good outcomes and ...

Abstract: Hybrid deteriorating systems, which are made up of both linear and nonlinear degradation parts, are often encountered in engineering practice, such as gyroscopes which are frequently ...

As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more flexible, data-driven approaches that integrate prior knowledge, reduce sample ...

Abstract: Remaining useful life prediction for degrading systems plays a key role in prevalent prognostics and health management discipline. Compared with the offline remaining useful life prediction ...

Dormancy is a widespread bet-hedging strategy across taxa, enabling organisms to survive natural and anthropogenic disturbances. It fundamentally alters eco-evolutionary processes, including ...

Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...