Artificial Intelligence Medical Compendium

INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemb... read more 

Branched-chain (BCAA) and aromatic amino acids (AAA) are precursors of volatile compounds with pleasant flavors in cheese. In this study, BCAA and AAA were added to cheese which matured at 30 °C for 7 days to assess their effects on accelerating chee... read more 

Autonomous intelligent agents must bridge computational challenges at disparate levels of abstraction, from the low-level spaces of sensory input and motor commands to the high-level domain of abstract reasoning and planning. A key question in design... read more 

The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain elusive. This study integrated single-cell RNA sequencing (scRNA-seq) data, spatial transcriptomics (ST) data, and bulk transcriptomic data. Analyses re... read more 

Angiotensin-converting enzyme (ACE) is mainly categorized into ACE-1 and ACE-2, both of which play significant roles in human physiological balance and metabolism. Compared to synthetic drugs, food-derived natural peptides offer unique advantages reg... read more 

Pharmaceuticals serve as a double-edged sword: while essential for health care, they are also ubiquitous pollutants that threaten ecosystem. The vast scale of global surface waters makes comprehensive pharmaceutical monitoring impractical, resulting ... read more 

Large language models (LLMs), despite their remarkable successes, remain significantly expensive to implement. Among various strategies, key-value cache (KV cache) stands out as a crucial technique for expediting the inference of LLMs, yet it comes w... read more 

BACKGROUND: Coronary computed tomography angiography (CCTA) is vital for diagnosing ischemic heart disease, yet its accuracy is unreliable due to varying reader expertise. Artificial Intelligence (AI)-driven automated stenosis assessment offers promi... read more 

Nuclei segmentation and classification play a crucial role in the quantitative analysis of computational pathology (CPath). However, the challenge of creating a large volume of labeled pathology nuclei images due to annotation costs has significantly... read more 

This article delves into the application of a neural network (NN) to solve the time fractional diffusion-wave equation (TFDWE), wherein the fractional term is expressed in the Caputo sense of order α with 1 < α < 2. A numerical scheme of order O(t3-α... read more