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Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

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DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy

The widespread adoption of facial recognition (FR) models raises serious concerns about their pote...

Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts

This paper presents a pipeline for mitigating gender bias in large language models (LLMs) used in ...

Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation

The use of AI in healthcare has the potential to improve patient care, optimize clinical workflows...

EpiCoder: Encompassing Diversity and Complexity in Code Generation

Existing methods for code generation use code snippets as seed data, restricting the complexity an...

Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing

The generalization problem is broadly recognized as a critical challenge in detecting deepfakes. M...

ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI

Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardia...

Large Language Model-assisted text mining reveals bacterial pathogen diversity

Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...

Intrinsic plasticity underlies malleability of neural network heterogeneity

Diversity exists throughout biology, playing an important role in maintaining robustness and stabili...

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis

Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...

Where is the melody? Spontaneous attention orchestrates melody formation during polyphonic music listening

Humans seamlessly process multi-voice music into a coherent perceptual whole. Yet the neural strateg...

Interpreting Sleep Activity Through Neural Contrastive Learning

Memories are spontaneously replayed during sleep, a process thought to support memory consolidation....

MSF-CPMP: A Novel Multi-Source Feature Fusion Model for Cyclic Peptide Membrane Permeability Prediction

Cyclic peptides are becoming attractive molecules for drug discovery because of their properties wit...

Dietary Protein Source Shapes Gut Microbial Structure and Predicted Function: A Meta-Analysis with Machine Learning

Dietary proteins are major modulators of gut microbial ecology, yet the microbial signatures and fun...

The Use of Artificial Intelligence In Magnetic Resonance Imaging of Epilepsy: A Systematic Review and Meta-Analysis

The application of artificial intelligence (AI)/machine learning (ML) to MRI can be a powerful tool ...

Bridging Evolution and Design: Mapping the Diversity of LOV Photosensors

Light-sensitive proteins allow organisms to perceive and respond to their environment, and have dive...

PATTY corrects open chromatin bias for improved bulk and single-cell CUT&Tag profiling

Precise profiling of epigenomes is essential for better understanding chromatin biology and gene reg...

Mapping Risk and Conservation Potential Across the Indo-Pacific with Reefshark Genomescapes

Overfishing has severely depleted marine populations worldwide, including within protected areas. Il...

The Rational Irrational: Better Learners Show Stronger Frequency Heuristics

Does favoring less valuable options that deliver more frequent rewards reflect flawed decision-makin...

Brain-like variability in convolutional neural networks reveals evidence-, uncertainty- and bias-driven decision-making

Even when stimuli and tasks are held constant, brain activity fluctuates markedly across trials, yet...

Improved interpretability in LFADS models using a learned, context-dependent per-trial bias

The computation-through-dynamics perspective argues that biological neural circuits process informat...

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