Latest AI and machine learning research in prevention for healthcare professionals.
BACKGROUND: This review critically evaluates the applications of artificial intelligence in nutrigenomics, focusing on its role in interpreting functional food-gene interactions, supporting personalized nutrition strategies, and enabling evidence-based dietary interventions for improved health outcomes. METHODS: A systematic literature search was conducted using PubMed, Scopus, Web of Science, and...
Atherosclerosis (AS), a chronic inflammatory process driven largely by macrophage-mediated plaque formation, remains poorly understood in mitochondrial-macrophage crosstalk. While CYBA polymorphisms correlate with cardiovascular risk, the functional role of CYBA in connecting mitochondrial dysfunction to macrophage phenotypic alteration and functional modulation remains largely unknown. In this st...
BACKGROUND: Immune cell infiltration in the renal interstitium contributes to the progression of diabetic nephropathy (DN), yet the precise mechanisms...
UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pathophysiological mechanisms, which could crosslink...
BACKGROUND: This systematic review and Bayesian meta-analysis examined determinants of exercise effects on subjective sleep quality. METHODS: We searc...
Understanding how close an individual is to muscular failure during exercise can be used to personalize resistance training dynamically. We propose a ...
BACKGROUND AND OBJECTIVE: Effective diabetes management requires continuous regulation of blood glucose in response to complex factors such as diet, a...
BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contr...
Traditional protein analysis methods rely on invasive sample collection and professional operators, which is not conducive to in situ monitoring. Desp...
INTRODUCTION/AIMS: Accurate detection of pathophysiology from tissue images is critical for appropriate diagnoses and treatments of muscular dystrophi...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
BACKGROUND: Assistive robotics for helping older people live well and stay independent has, to date, failed to fulfill its promise: there are few assi...
The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than gen...
PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...
This research examines an artificial intelligence-driven personalized intervention system that integrates physical exercise and mindfulness practices ...
Physical exercise is known to delay the cognitive decline in the elderly. However, the effect of low-impact balance exercises such as yoga or Tai chi ...
Squatting, a closed-kinetic chain exercise, requires the complex coordination of multiple muscles. However, the differences in muscle coordination pat...
Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia...
PURPOSE OF REVIEW: Most youth with type 1 diabetes (T1D) do not meet the guidelines for physical activity engagement, thereby diminishing potential be...