Artificial Intelligence Medical Compendium

Scientific foundation models hold great promise for advancing nuclear and particle physics by improving analysis precision and accelerating discovery. Yet, progress in this field is often limited by the lack of openly available large-scale datasets, ... read more 

OBJECTIVE: Alzheimer's disease (AD) is strongly associated with aging, yet the interactions remain unclear. This study modeled replicative senescence in patient-derived fibroblasts to compare gene expression between AD dementia and controls across se... read more 

Urban-suburban disparities in ozone (O3) pollution have received growing attention due to their implications for environmental equity and public health. However, the underlying drivers of these disparities remain poorly understood, especially the con... read more 

OBJECTIVES: Transfers between wheelchairs and beds pose injury risks to users and caregivers, with conventional devices often inefficient and unsafe. The Powered Personal Transfer System-a no-lift solution integrating an electric powered wheelchair a... read more 

Despite the profound prevalence and fracture risk of osteoporosis, access to the gold standard DXA scans remains limited, especially in rural communities. Rho is an artificial intelligence software that can identify individuals at risk of low BMD and... read more 

This paper presents a dataset on digital citizenship among Indonesian prospective teachers enrolled in civic education programs. The dataset comprises responses from 2008 informants representing 41 public and private universities across >22 provinces... read more 

BACKGROUND: Stroke poses a significant health burden among hypertensive patients, where traditional risk models often lack precision. Machine learning (ML) has shown promise in enhancing prediction accuracy by integrating diverse data sources. METHOD... read more 

This review systematically examines the principal physicochemical parameters that govern the formation, stability, and properties of Pickering emulsions stabilized by lignin nanoparticles (LNPs). We consider the role of particle size, charge and conc... read more 

Accurate forecasting of product prices is vital for enterprises to anticipate market trends and adjust sales strategies proactively. Given the volatility of supply and demand, product prices often exhibit complex spatiotemporal coupling characteristi... read more 

Current technologies make it difficult to achieve high-throughput screening and standardized evaluation of umami peptides. Besides, the conformational mechanisms involved in activation of umami receptor are not fully elucidated, which greatly limits ... read more