Artificial Intelligence Medical Compendium

Ion channels remain notoriously recalcitrant drug targets despite their extensive pathophysiological significance. Acid-sensing ion channels (ASICs) are proton-gated cation channels that cause neuronal death when excessively activated, such as during... read more 

Physical entropy sources are essential for hardware security and probabilistic information processing, yet most memristor-based random-number generators rely on stochastic switching outputs without identifying a designable materials-level parameter t... read more 

Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide due to its late-stage diagnosis and progressive metastatic behavior. In this research, surface-enhanced Raman spectroscopy (SERS) coupled with artificial intellige... read more 

Metabolic reprogramming is a core feature of tumor cells in adapting to microenvironmental stress and acquiring malignant phenotypes. It not only supports rapid proliferation but also mediates immune escape by reshaping the immune microenvironment. I... read more 

Over the past decade, protein design has drawn considerable attention and emerged as a promising tool for sustainable and efficient biocatalytic processes, driven by breakthroughs in DNA sequencing, gene synthesis, bioinformatics, and artificial inte... read more 

A colorimetric/chemiluminescent vertical flow immunoassay (VFI) for Brucellosis was developed using glutathione-protected cobalt-gold nanoclusters conjugated with staphylococcal protein A (GSH@Co-AuNCs-SPA) as multifunctional catalytic immunoprobes. ... read more 

As an emerging environmental pollutant, the potential toxic effects of microplastics have become a topic of global concern. To address the issues with traditional detection methods- such as cumbersome operations, time-consuming processes, and relianc... read more 

Within the first few years of life, children go from nonverbal infants to fluent users of hundreds of words. This feat unfolds as children are immersed in a sea of words in conversations, stories, and other language contexts. In principle, word conte... read more 

OBJECTIVE: We evaluated the Spatial AI model on the Fortell AI hearing aids to see if it improves speech intelligibility in single-azimuth multitalker babble relative to a commercially available control hearing aid employing neural-network-based nois... read more 

BACKGROUND: The quality of Australia's coded clinical data is essential for its reliability in myriad applications throughout the healthcare system, signalling the need for clinical coding auditing. Internal clinical coding auditors audit hospitals' ... read more