Artificial Intelligence Medical Compendium

Mycophenolic acid (MPA), a prevalent mycotoxin, presents significant analytical challenges in complex silage matrices due to limited selectivity and pronounced electrochemical baseline drift. To address this, we developed an intelligent molecularly i... read more 

INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generation and administrative efficiencies. However, concerns regarding content validity, ethical implicati... read more 

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive motor neuron loss. IsomiRs are microRNA (miRNA) isoforms that arise from alternative processing or editing events during miRNA biogenesi... read more 

The current research provides the numerical investigation of the epidemic typhoid model by using the stochastic artificial intelligence-based recurrent neural network. The typhoid system has five different categories: the susceptible, the carrier, th... read more 

BACKGROUND: Vertebral fractures (VFs) are among the most common osteoporotic fractures, yet they are frequently underdiagnosed and left untreated. The use of an artificial intelligence (AI) tool may support improved detection rates. This study aimed ... read more 

Psoriatic arthritis (PsA) is a chronic inflammatory disease characterised by unpredictable flare-ups that are difficult to forecast, particularly in patients without an acute phase response. In this paper, we propose and apply an explainable, multimo... read more 

Circulating tumor cells are key drivers of cancer metastasis and represent powerful biomarkers for real-time monitoring of disease progression through liquid biopsy approaches. This review examines the intricate metabolic and epigenetic reprogramming... read more 

BACKGROUND AND OBJECTIVE: Drug-target affinity (DTA) prediction is a pivotal task in computational drug discovery, enabling the estimation of binding affinities between small molecules and their target proteins. This process is essential for reducing... read more 

BACKGROUND: Pre-registration nursing students need to be appropriately prepared for a healthcare environment that is increasingly utilising artificial intelligence. Currently, there are no guidelines available for embedding critical artificial intell... read more 

This study presents an AI-enhanced framework to address key challenges in the quantitative metallographic analysis of pure iron systems. Manual grain size characterization suffers from limited efficiency and reproducibility, while existing computatio... read more