Latest AI and machine learning research in cultural competence for healthcare professionals.
Rice is a fundamental dietary staple that embodies cultural identity, culinary diversity, food security and economic stability, providing a significant portion of daily caloric intake for considerable portion of world populace. However, vulnerability of rice crops to various leaf diseases poses a considerable concern to its productivity and quality, which in turnemphasizes the need for an effectiv...
BACKGROUND: Celiac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary restriction. The gut microbiome is thought to contribute to the development and progression of celiac disease. However, findings across previous studies are fragmented, making it difficult to understand exactly how the gut microbiome is involved. METHODS: We integrate over 900 samples from global d...
BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...
Political and economic challenges, amplified by social media algorithms, are increasingly polarising how people receive and evaluate information. This...
The impending patent cliff projected between 2028-2030 poses significant commercial and strategic challenges for innovative pharmaceutical and biotech...
BACKGROUND: Health professions education faces increasing challenges from rising health care complexity, pedagogical shifts, and constrained curricula...
TOPIC: This review evaluated the performance of artificial intelligence (AI) models for predicting outcomes after vitreoretinal surgery compared with ...
Bias in clinical research affects not only the internal validity of studies but also the equitable distribution of health benefits derived from studie...
Stable isotope labeling is widely used to study metabolic fluxes. Mass spectrometry is the primary tool for measuring isotope ratios in biomolecules, ...
BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...
OBJECTIVE: To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning m...
Families who speak a language other than English (LOE) are a growing population in the United States. Children of these families are at risk of dispar...
BACKGROUND: There are no Indian studies estimating Cognitive Reserve (CR) across rural and urban aging populations. METHODS: We estimated CR from two ...
PURPOSE: Pharmacoepidemiology and population health studies using electronic health care records (EHRs) must define study variables through available ...
BACKGROUND: The growing number of hypoglycaemia risk prediction models for Type 2 diabetes mellitus (T2DM) underscores the need for systematic evaluat...
OBJECTIVE: To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically...
Empirical evidence has demonstrated the power of AI to influence human decisions and the risk of humans acquiring AI biases. Therefore, there is a cle...
BACKGROUND: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. I...
Antibody folding and aggregation are major challenges in the development of relevant reagents and therapeutics. Antibodies face a biophysical trade-of...
PURPOSE OF REVIEW: Large language models (LLMs) are increasingly integrated into digital mental health tools, yet their role in substance use disorder...