Artificial Intelligence Medical Compendium

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 

Adolescents in low- and middle-income countries continue to face substantial barriers in accessing effective HIV education, despite global efforts in prevention. This study evaluated the effectiveness of a culturally adapted HIV educational video dev... read more 

Anti-counterfeiting technologies are increasingly challenged by advances in imaging and machine learning, exposing the fundamental limitations of conventional static optical security systems. Here, a time-resolved physically unclonable function (TR-P... read more 

INTRODUCTION: IKZF2 (Helios) maintains the suppressive function of regulatory T cells (Tregs) and is an emerging immuno-oncology target. Its degradation destabilizes Tregs, strengthens antitumor immunity, and may remodel the tumor microenvironment (T... read more 

OBJECTIVE: High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning ... read more 

Bile duct hyperplasia in rodents, caused by chemical cytotoxicity, bile flow interference, or aging, is traditionally assessed through time-consuming microscopic examination by pathologists. We developed a deep learning-based, artificial intelligence... read more