Planned early-term birth based on risk stratification for preeclampsia reduced the incidence of the complication at term ...

Submission marks a key regulatory milestone toward bringing SEER-calibrated, imaging-based risk assessment to U.S. screening ...

By managing assets holistically, TPA shifts the investment focus from compliance with targets to optimization of outcomes.

Synthetic IDs that behave like long-horizon exposures and account takeover attacks driven by automation are two of the most ...

Independent models that flagged 94% of homes destroyed in January's fires as facing 'severe' or 'extreme' risks were just ...

The Management of the Securities and Exchange Commission (SEC) has announced January 2026 as the commencement date for ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a safeguard and a growth catalyst.

LLM-based agentic AI introduces a variety of new systemic risks only partially addressed by the EU AI Act. Gerhard Schimpf ...

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Geopolitics and trade policy are no longer background noise. Tariffs, industrial policy, and currency pressures are reshaping ...

As the world faces a surge of new synthetic chemicals and increasingly complex toxicity patterns, traditional animal testing ...