Artificial Intelligence Medical Compendium

Tissue-engineered spinal tracts (TE-STs), a subclass of micro-tissue-engineered neural networks, are designed to replace long-range axonal pathways but are limited by the slow intrinsic growth of many neuronal subtypes, particularly spinal motor neur... read more 

RNA therapeutics are increasingly moving from empirical screening towards rational, computation-guided design. Recent advances in RNA language models, generative models and structure-aware learning have improved sequence representation, candidate gen... read more 

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Periodontal nerves, comprising sensory, sympathetic, and parasympathetic fibers, are essential components of the periodontium. Beyond their classic sensory and proprioceptive functions, these neural networks actively modulate periodontal immune respo... read more 

MOTIVATION: Gene function prediction is pivotal in genomic and metagenomic data analysis. Current annotation tools typically rely on the most similar sequence from the query database and struggle to robustly set meaningful hit thresholds, causing a m... read more 

INTRODUCTION: Artificial intelligence is being deployed across the pharmaceutical value chain, yet returns have been inconsistent. One of the explanations for this inconsistency is the organizational focus on models rather than the data foundations n... read more 

Multi-omics integration can improve cancer subtyping, but modality informativeness and noise vary across cancer types and patients. Most graph methods for multi-omics data learn modality contributions within the downstream classification objective, l... read more 

Artificial intelligence (AI) is increasingly influencing dental diagnosis and clinical decision-making, yet many AI systems continue to represent disease and treatment outcomes through discrete categories. Although binary classification has contribut... read more 

BACKGROUND: Early identification of myasthenia gravis (MG) severe exacerbations that require intensive care unit (ICU) admission remains challenging due disease highly heterogeneous. Existing models seldom incorporate phenotype stratification, limiti... read more 

BackgroundArtificial intelligence (AI) is rapidly transforming healthcare delivery across multiple disciplines. Allied health professions-including diagnostic medical sonography (DMS), health informatics (HI), medical billing and coding (MBC), midwif... read more