Artificial Intelligence Medical Compendium

Large-scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews ... read more 

Critical care medicine is undergoing a major transformation driven by rapid technological innovation, digital integration, and telemedicine. This article examines how modern intensive care units (ICUs) are evolving into data-rich, precision environme... read more 

Enzymes are biological catalysts that speed up chemical reactions in an eco-friendly way. Precise enzyme design is hindered by vast sequence space and intricate sequence-structure-function interdependencies. To address these challenges, we developed ... read more 

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Array-based sensing platforms have witnessed significant progress in recent years, demonstrating considerable potential for high-throughput and multiplexed analytes detection; however, their clinical translation remains hindered by inadequate sensiti... read more 

BACKGROUND: The epidemiological characteristics of acute myeloid leukemia (AML) in China, including long-term trends and reliable diagnostic biomarkers, remain insufficiently explored. This study aims to bridge these gaps by combining global burden o... read more 

As the prevalence of technology and data use increases in sports, new opportunities exist to support practitioners by informing practice design. In turn, analytical techniques which leverage this data can be used to further bring life to frameworks o... read more 

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Automated atomic column detection and identification constitutes an active open front in advanced scanning transmission electron microscopy techniques. In this work we use clustering algorithms in combination with dimensionality reduction techniques ... read more 

Spiking neural networks (SNNs) offer a promising avenue to implement deep neural networks in a more energy-efficient way. However, the network architectures of existing SNNs for language tasks are still simplistic and relatively shallow, and deep arc... read more