The accumulation of multiple antibiotics in the environment poses severe threats to ecosystems and human health, demanding rapid, sensitive, and portable detection methods. This study introduces a lanthanide-gold nanocluster (AuNCs)-based microfluidi...
Surface-enhanced Raman spectroscopy (SERS) is regarded as a powerful tool for rapid drug identification in the liquid phase. However, the implementation of SERS for drug detection in the liquid phase remains constrained by two critical limitations: i...
BACKGROUND: Gut microbiota (GM) predict responses to immune checkpoint inhibitors (ICIs) in patients with advanced lung cancer. However, its role in patients with locally advanced lung cancer undergoing chemoradiotherapy (CRT) combined with consolida...
Transcranial Electrical Stimulation (tES) is a non-invasive neuromodulation technique that generates artifacts in simultaneous EEG recordings, hindering brain activity analysis. This study analyzes Machine Learning (ML) methods for tES noise artifact...
In drug discovery, metabolite identification data are used to identify metabolic soft spots in research molecules to facilitate reduced metabolism in subsequently designed compounds. In addition, knowledge about exact metabolite structures enables th...
N -methyladenosine (m A), the most prevalent internal modification in eukaryotic RNAs, has emerged as a focal point of intensive research in recent years owing to its pivotal regulatory roles in carcinogenesis, progression, and metastasis. However, c...
Journal of chemical information and modeling
Oct 14, 2025
Pose prediction of ligands to proteins remains a central challenge of structure-based drug design. Although data leakage and generalizability concerns remain, data-driven methods for pose prediction (i.e., based on deep learning and diffusion) now ro...
Wearable electronic devices have brought many opportunities and hold great promise for applications in foot health monitoring. However, effective foot monitoring often requires more objective and cost-effective solutions. Here, we present a wearable ...
Small extracellular vesicles (sEVs) are nanoscale vesicles carrying biomolecules reflective of their cellular origin, making them attractive biomarkers for cancer diagnosis. In this study, we present a high-throughput strategy integrating amphiphile-...
Proceedings of the National Academy of Sciences of the United States of America
Oct 14, 2025
The digital revolution has ushered in many societal and economic benefits. Yet access to digital technologies such as mobile phones and internet remains highly unequal, especially by gender in the context of low- and middle-income countries (LMICs). ...
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