Artificial Intelligence Medical Compendium

Time series forecasting is widely applied across various domains. Transformer-based models have shown considerable potential in modeling interactions across time and variables. However, we observe that the cross-variable correlations in multivariate ... read more 

Fritillaria spp. refers to the dried bulbs of multiple Fritillaria species (Liliaceae family), a well-known medicinal and edible homologous plant widely used in traditional herbal medicine and dietary supplements. Different Fritillaria spp. exhibit d... read more 

This study addresses the underexplored potential of terahertz (THz) spectroscopy for geographical origin authentication of Pueraria lobata. We developed a novel non-destructive approach integrating THz spectroscopy with a CNN-Transformer hybrid netwo... read more 

The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunctional strategy by concurrently binding with protein catalytic pocket and its associated RNA template, effectively disrupting protein's function. Conventi... read more 

The early detections of internal bruises in blueberries caused by external impacts after harvest play a crucial role in enhancing their economics. The aim of this study was to identify early bruise blueberries at different impact energies based on Pa... read more 

Co-creation has emerged as a transformative approach to meaningful collaboration among students, teachers, and other key stakeholders. Although co-creation aims to integrate all stakeholders' diverse perspectives and foster engagement, motivation, an... read more 

BACKGROUND: Depression is a complex disorder that cannot be fully screened by textual features alone, as audio features capture additional psychomotor and affective changes. This study integrates textual and audio features for depression screening an... read more 

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BACKGROUND: Psychological distress among youth is a growing global health concern and a leading non-communicable disease burden. Early and accurate prediction is vital for effective intervention. This study applied machine learning (ML) techniques to... read more 

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