Artificial Intelligence Medical Compendium

The algal-bacterial granular sludge (ABGS) process is a promising solution for sustainable wastewater treatment, owing to its synergistic contaminant removal, carbon sequestration potential, and reduced energy demand. This review critically synthesiz... read more 

Aberrant expression of circular RNAs (circRNAs) is closely associated with various diseases, underscoring the importance of accurate association prediction for advancing diagnostics and therapeutics. Given that biological experiments are often costly... read more 

Unsupervised person re-identification (re-ID) aims to match individuals across camera views without manual annotations, making it a challenging yet promising task. Although recent methods have made notable progress by leveraging pseudo-labels, two ke... read more 

Hematoxylin and eosin (H&E) staining has long been a cornerstone of histopathology, typically applied to formalin-fixed, paraffin-embedded (FFPE) tissue sections to ensure stable and consistent sample preparation. However, the chemical staining proce... read more 

This work discusses the consensus tracking for stochastic multi-agent systems with a leader-follower structure. An observer-based distributed control approach is put forward, leveraging control Lyapunov functions and quadratic programming framework. ... read more 

Contemporary recommender systems face two critical challenges in click-through rate (CTR) prediction. First, traditional methods are confined to learning from closed training datasets, lacking access to broader world knowledge. Second, existing appro... read more 

Few-shot image classification is a challenging task that focuses on recognizing novel classes with only a few labelled images. While prompt-based learning has achieved remarkable success in natural language understanding with the advent of foundation... read more 

Long sequence prediction is a key challenge in time series forecasting. While Mamba-based models have shown strong performance due to their sequence selection capabilities, they still struggle with insufficient focus on critical time steps and incomp... read more 

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and severe outbreaks due to its favorable climate factors, socio-environmental conditions, and increasing human mobility. Accurate forecasting of dengue cas... read more 

Artificial intelligence diagnostic tools show promise for improving histotype classification in epithelial ovarian cancer but face challenges due to slide variability across institutions. To address this domain shift, the adversarial Fourier-based do... read more