This precision medicine approach, driven by granular, real-world evidence, is critical for reshaping clinical guidelines and ...

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...

Abstract: Causal learning from observational data is an important scientific endeavor, but the statistical and computational challenges posed by the high-dimensionality of many modern datasets are ...

This meta-analysis from two nationwide cohorts indicates that SSRI and SNRI augmentation therapies for people with ...

This study explores the use of polarized second-harmonic generation (pSHG) to investigate myosin conformation in the relaxed state, differentiating between the actin-available, disordered (ON) state ...

Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

Abstract: The security tracking control problem is addressed for nonlinear discrete-time networked control systems (NCSs) subject to energy-constrained denial-of-service (EC-DoS) attacks. A ...

Software-driven abstraction of quantum complexity away from the end users lets anyone, irrespective of their quantum expertise, leverage quantum computing for the problems that matter most to them.