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Decoding (digital) histopathology: The building blocks for computational researchers.

Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis. Nevertheless, combining the insights from both disciplines remains challenging, particularly due to differences in technical background and language between pathologists and engineers. It is acknowledged that literature translati...

Strategic AI-human collaboration for biology assessment design: a practical workflow.

Biology instructors increasingly use generative artificial intelligence (AI) tools to create assessment rubrics but lack systematic workflows for ensuring scientific accuracy in AI-generated criteria. This article presents a five-phase workflow for strategic AI-human collaboration tested across undergraduate biology courses, including lab reports, genetics problem sets, and discussion assessments....

Big data and artificial intelligence in animal nutrition: a new era of precision feeding.

The convergence of Big Data and Artificial Intelligence (AI) is redefining animal nutrition by enabling precision feeding systems that are individuali...

A triaxial benchmark for assessing responses from large language models in traditional Chinese medicine.

BACKGROUND: Large language models (LLMs) show promise in specialized domains, but their capabilities in Traditional Chinese Medicine(TCM)-a field with...

[Initial investigation on the discipline system for reviewology: medicine as an example].

Academic journal peer review lacks disciplinary support due to uneven quality of peer review and inconsistent comments. Based on long-term experience ...

Letter to the Editor: expanding the artificial intelligence-nutrition integration framework to address implementation gaps.

A TyG-UHR-based machine learning model for screening lean MAFLD: development and external validation.

BACKGROUND: Lean metabolic dysfunction-associated fatty liver disease (MAFLD) is increasingly recognized but often goes unnoticed during health checku...

Predicting 28-day all-cause mortality in critically ill ischemic stroke patients using white blood cell-to-hemoglobin ratio and dual-feature selection machine learning models.

BACKGROUND: The white blood cell-to-hemoglobin ratio (WHR) is a composite biomarker of inflammation and nutrition, but its prognostic role in critical...

Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort.

BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OB...

Metabolic-inflammatory burden predicts mortality in heart failure across population and ICU cohorts.

BACKGROUND: Systemic metabolic and inflammatory disturbances play a critical role in the pathogenesis and prognosis of heart failure (HF). However, it...

Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.

BACKGROUND: Aging is a complex biological process characterized by progressive functional decline across multiple physiological systems, and biologica...

Genomic variation drives plant flavor diversification.

Plant flavor diversity arises from genomic variation across species and cultivars, yet the mechanisms linking natural genomic variation to flavor-rela...

Dataset documentation for responsible AI: analysis of suitability and usage for health datasets.

Artificial Intelligence (AI) is rapidly transforming healthcare, but also raising concerns about algorithmic biases that mostly stem from the training...

Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.

Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease, reflect multifactorial interactions among diet, ...

The latest AI breakthroughs in structural biology: protein binder design and conformational state prediction.

Structural biology is entering a new phase beyond the original breakthrough of AlphaFold 2, with two emerging frontiers poised to redefine the field: ...

Reining In Unbridled AI Enthusiasm: Protecting the Integrity of Rehabilitation Science & Clinical Care.

Enthusiasm for artificial intelligence (AI) applications in rehabilitation medicine has accelerated rapidly, from 22 publications in 2015 to 1,449 in ...

Communication-Based Teaching on Childhood Obesity and the Planetary Health Diet in Medical Education: Proof-of-Concept Study Comparing 4 Information Sources.

BACKGROUND: Childhood obesity constitutes a complex medical and psychosocial challenge that requires both nutritional knowledge and sensitive, relatio...

Next-generation probiotics: an outlook into current applications and future developments.

The probiotics field, a historically popular yet scientifically debated discipline, is moving beyond a decades-long promotion of 'first-generation' fo...

Benign-by-design chemistry: Reinventing ligand-based drug design at the edge of AI.

Ligand-based drug design (LBDD) has long driven therapeutic innovation; however, its traditional potency-centered paradigm often oversimplifies biolog...

Quantum-Enabled Approaches to Precision Nutrition: Linking Molecular Interactions with Metabolic Prediction.

Precision nutrition aims to tailor dietary guidance to individual biology, yet current methods struggle to integrate complex molecular and multi-omic ...