Artificial Intelligence Medical Compendium

PURPOSE OF REVIEW: Low-cost particulate matter (PM) sensors make it possible to measure air pollution in homes, workplaces, and communities that are poorly represented by regulatory networks. Their readings, however, are sensitive to humidity, aeroso... read more 

EEG microstates are brief and discrete topographic patterns of electrical brain activity. Microstates last for 60-120 milliseconds, are thought to represent transient, quasi-stable neural networks, and traditionally four distinct classes (A-D) are di... read more 

Morphometric traits provide valuable insights into poultry breed characterization, yet their predictive utility across developmental stages remains unexplored. This study aimed to categorise three poultry strains (PB1, PB2, and Punjab Brown) using mo... read more 

Protein conformational dynamics often govern protein-protein interaction mechanisms and function, as flexibility enables adaptation to different environments. Yet, the extent to which current physics‑based and emerging AI‑driven methods can predict f... read more 

BACKGROUND AND AIMS: Generative artificial intelligence chatbots are increasingly used for health information, but their reliability, readability, and safety in osteoporosis counseling remain uncertain. This study compared four widely available chatb... read more 

MOTIVATION: A central challenge in protein-ligand modelling is to predict not only the presence of an interaction, but also the correct ligand identity, binding-site location, and biologically relevant bound conformation. While recent deep learning a... read more 

INTRODUCTION: Premature birth is associated with an increased risk of cognitive and motor developmental problems. Early prediction of these outcomes is crucial for timely intervention and adequate follow-up. This study aimed to predict cognitive and ... read more 

BACKGROUND: Current TB diagnostics fail to detect subclinical and paucibacillary cases, hindering End TB Strategy goals. We validated a novel serum four-biomarker biosignature and developed a colloidal gold strip for accurate subclinical and active T... 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 

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