Artificial Intelligence Medical Compendium

Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, yet lacks targeted therapeutic strategies. This study aimed to explore the role of cellular senescence in driving EOCRC's malignancy and developed a se... read more 

BACKGROUND: Generative AI (GenAI) tools, particularly Large Language Models (LLMs), are increasingly used across clinical contexts; including to support patient information needs. As these technologies become more prevalent, understanding their utili... read more 

Maintaining the survival and quality of Litopenaeus vannamei (L. vannamei) in household settings proves particularly challenging. This study aimed to explore a critical temperature and minimal-water preservation method with supporting equipment, and ... read more 

Lycopene, a high-value carotenoid widely used as a natural colorant and antioxidant in the agri-food industry, is currently produced in microbial cell factories. We first summarize recent advances in microbial cell factory-based lycopene production. ... read more 

Wheat rusts caused by biotrophic fungi of the genus Puccinia continuously threaten global wheat production and food security. The rapid evolution of virulent races, and the limitations of chemical fungicides, including environmental contamination, hu... read more 

MRI of the heart and abdominal organs provides unparalleled soft tissue contrast and quantitative biomarkers, yet remains highly susceptible to physiological motion. Contractions of the myocardium, respiratory excursions, peristalsis, vascular pulsat... read more 

BACKGROUND: Prostate cancer remains a leading cause of cancer mortality, yet current risk stratification systems inadequately integrate multidimensional tumor characteristics. This study aims to develop a deep learning-based multimodal prognostic mod... read more 

Flexible sensors encounter significant challenges in subzero temperatures, including mechanical fragility, signal instability, and environmental sustainability issues. To overcome these limitations, a novel eco-friendly hydrogel sensor has been devel... read more 

BACKGROUND: Radiology faces an unprecedented workload crisis, creating demand for AI solutions to enhance efficiency and quality. Vision-language models (VLMs) represent a paradigm shift from narrow AI tools to integrated systems for image interpreta... read more 

INTRODUCTION: Accurately identifying unfavorable outcomes is crucial for the clinical management of minor stroke. Conventional imaging prediction models, such as radiomics, rely on region-of-interest analyses that extract statistics parameter within ... read more