Artificial Intelligence Medical Compendium

Youth irritability, characterized as proneness to anger/frustration, is associated with negative mental health outcomes. This study identified irritability trajectories across the transition to early adolescence and applied machine learning to identi... read more 

Metabolomics has transformed plant biology by delivering high-resolution insights into the biochemical networks that govern growth, adaptation, and environmental responsiveness. The plant metabolome, encompassing both primary and specialised metaboli... read more 

Electrode-electrolyte interphases (EEIs) govern battery performance, yet the interplay between their chemical composition and spatial organization remains challenging to resolve. Time-of-flight secondary ion mass spectrometry (TOF-SIMS) provides rich... read more 

Multimodal neuromonitoring has emerged as a cornerstone of modern neurocritical care for traumatic brain injury (TBI). Traditional monitoring approaches based on intracranial pressure (ICP) and clinical examination alone have proven insufficient to c... read more 

Global aquaculture faces an escalating disease and antimicrobial resistance (AMR) crisis, exacerbated by climate-driven physiochemical shifts and intensive farming practices. The integration of artificial intelligence (AI) and structural biology, spe... read more 

BACKGROUND AND OBJECTIVES: Upper extremity soft tissue sarcomas (UE STS) present unique management challenges; existing prognostic nomograms were developed from mixed anatomic cohorts. This study develops anatomically specific machine learning (ML) m... read more 

Hepatocytes perform essential physiological functions in the human body. Gaining more profound insight into the liver structure, diseases, and physiology by using in vitro models can help to propose more relevant clinical applications. Conventional i... read more 

Measuring the dynamics of surface organometallic species, let alone connecting these to catalysis, is highly challenging. We have applied surface-sensitive proton fast-magic-angle spinning double-quantum sideband NMR methods to probe the dynamics of ... read more 

The lack of robust early-stage molecular biomarkers severely limits the timely diagnosis of non-small cell lung cancer (NSCLC). To address this analytical challenge, we developed an integrated workflow combining serum N-glycan profiling with machine ... read more 

BACKGROUND: Obesity's global rise has outpaced the effectiveness of "one-size-fits-all" prevention and treatment strategies. The promise of precision medicine lies in addressing the etiological and biological diversity of obesity and transforming it ... read more