Generative AI can augment chemometrics by automating curation, connecting analytical outputs to textual knowledge, and ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

Yanran Li's AI-driven Marketing Mix Modeling (MMM) framework revolutionizes enterprise resource allocation by integrating ...

Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...

Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...

Dozens of Santa Maria elementary school students are putting their literacy knowledge to the test in the annual Santa ...

Acromegaly requires multimodal management. While surgery is first-line, many patients have persistent/recurrent disease. Gamma knife radiosurgery (GKRS) offers precise radiation, but data on its use ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

Understanding the Quantum Computing Threat to Bitcoin The rapid advancement of quantum computing is reshaping the landscape of digital security.

In this conference report from ABRF 2026, the authors reflect on the meeting's insights into core facility research and ...