Artificial Intelligence Medical Compendium

This narrative, perspective-style review proposes a structured framework for how artificial intelligence (AI) may reshape key steps of the echocardiography workflow. We argue that AI's main contribution is not only to automate existing tasks but to e... read more 

BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safet... read more 

Accurately predicting recombinant protein expression in Escherichia coli remains a long-standing challenge due to the multifactorial nature of gene regulation and translation. Existing computational approaches typically emphasize either codon usage o... read more 

The orbitofrontal cortex (OFC) is a hub for value-guided decision-making, linked reciprocally with both cortical and subcortical regions. While projections from sensory areas to the OFC - and vice versa - are known to support goal-directed learning, ... read more 

Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic agents toward diseased regions, thereby enhancing local drug accumulation while minimising systemic s... read more 

Biomass pyrolysis is a promising thermochemical pathway for producing renewable fuels and chemicals, yet its optimization remains challenging due to the complex interactions among feedstock properties, operating conditions, and reactor configurations... read more 

BACKGROUND: Curative-intent radiotherapy (RT) or chemoradiotherapy (CRT) for head and neck squamous cell carcinoma (HNSCC) frequently leads to mucositis, dysphagia, and odynophagia, resulting in nutritional compromise, weight loss, and the need for f... read more 

BACKGROUND: Artificial intelligence (AI) has emerged as one of the most transformative tools for developing clinical decision-support systems in veterinary medicine. Despite its growing use, its full potential remains underutilized in equine medicine... read more 

Predicting drug-target interactions is essential for virtual drug screening. While many models predict the binding affinity between small molecules and proteins, they often overemphasize molecular features while overlooking important protein characte... read more 

Pharmacogenomics investigates how genetic variation influences individual responses to drug therapy and aims to optimize treatment outcomes through personalized approaches. Bioinformatics plays a foundational role in this field, enabling the processi... read more