Artificial Intelligence Medical Compendium

The purpose of the study was to assign rowers to different rowing events based on their demographics and rowing kinematics using machine learning models. A total of 55 elite athletes from the Chinese National Rowing Team participated, each instructed... read more 

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) to guide timely treatments. Traditional culture-based AST methods are slow, while existing whole-gen... read more 

BACKGROUND: Sepsis is a life-threatening condition that is one of the major causes of death worldwide. Early detection of sepsis is required for fast initialization of an appropriate therapy. Complete blood count data containing information about whi... read more 

BACKGROUND: Interest in technologies for quantitative assessment of Parkinson's disease (PD) is growing, particularly those enabling voice and speech analysis. However, clinical validation varies widely, much algorithm data remain unpublished, and re... read more 

BACKGROUND: Classic serotonergic psychedelics are 5-HT2A partial agonists that induce non-ordinary states of consciousness. Many have demonstrated anti-addictive properties; however, their impact on smoking behaviors remains under-researched. This re... read more 

The mechanical properties of nitrate ester plasticized polyether (NEPE) propellant are critical in determining the safety and performance of solid rocket engines. However, understanding the failure mechanisms at atomic to micron scales remains a pers... read more 

In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific... read more 

Acetaminophen ranks among the most widely used pharmaceutical and personal care products today. Following consumption, the drug and its metabolites are excreted into sewage systems, wastewater treatment plants, and various aquatic environments, leadi... read more 

OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With the advancement of technology, artificial intelligence applications are increasingly being used in ... read more 

The GH11 xylanase XynCDBFV, derived from Neocallimastix patriciarum, is widely used in various industries. However, its relatively low thermostability limits its potential. In this study, two computational approaches-Rosetta Cartesian_ddG and the dee... read more