Artificial Intelligence Medical Compendium

Long non-coding RNAs (lncRNAs) play key regulatory roles in biological activities, making it crucial to accurately predict lncRNA-disease relationships for understanding disease pathophysiology and developing effective prevention and treatment strate... read more 

Artificial intelligence (AI) and machine learning (ML) are rapidly transforming surgery, moving beyond traditional risk prediction to real-time clinical support and intraoperative assistance. However, successful integration requires clinicians to und... read more 

Over 95% of head and neck cancers are squamous cell carcinoma (HNSCC). HNSCC is mostly diagnosed late, causing a poor prognosis despite the application of invasive treatment protocols. Tumor-educated platelets (TEPs) have been shown to hold promise a... read more 

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression. Proactively identifying individuals at high FRI risk enables timely and tailored interventions, reducing unnecessary health care resource utilization... read more 

PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections that need management either in outpatient setting or as inpatient. The present review of the literature will present recent developments in the diagnos... read more 

PURPOSE OF REVIEW: This review provides a comprehensive examination of the current inequities and ethical challenges in kidney transplantation and highlights some of the most urgent issues related to organ allocation and emerging technologies. RECENT... read more 

Planktonic archaea are widely distributed in marine ecosystems and play essential roles in global biogeochemical cycles. However, their biogeographic variation across water mass-related environmental gradients and their potential responses to climate... read more 

INTRODUCTION: Pressure injuries (PIs) are one of the most common hospital-acquired complications in patients admitted to an intensive care unit (ICU). Existing PI surveillance systems are known to have multiple limitations, including poor data qualit... read more 

Accurate model building in intermediate-resolution cryo-EM maps normally requires flexible fitting of reliable initial structures. However, while deep learning-based methods such as AlphaFold2 can predict highly accurate structures, the predicted str... read more 

Organ transplantation is a life-saving medical intervention to reverse end-stage organ failure. Despite its life-saving potential, organ transplantation faces inefficiencies like organ shortages, long wait times, and rejection risks due to manual, cl... read more