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

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, ...

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 ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

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

While extracellular DNA persistence substantially influences soil microbiome investigations, its degradation kinetics remain poorly quantified. Here, we developed a primer-labeled DNA approach coupled ...

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

Data from more than 15,000 ancient people reveal natural selection of hundreds of genes linked to immunity, skin tone, ...

Background Cancer survivors often face the risk of developing heart failure (HF) as a result of their previous cancer therapy ...

Inflammation research sits at the intersection of immunology, systems biology, and molecular medicine, focusing on the cellular and molecular mechanisms ...