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Diet-microbiota-kidney axis reprogramming: mechanistic insights into microbial metabolite-driven precision nutrition for chronic kidney disease.

Medical nutrition therapy serves as the cornerstone in the management of chronic kidney disease (CKD). While conventional approaches emphasize macronutrient restriction and meal timing adjustments, research highlights the critical mediating role of gut microbiota in translating dietary patterns into physiological effects through metabolite production. Meanwhile, CKD progression is closely associat...

[Digital intelligence empowerment for future bioengineering education building a competency based teaching system under emerging engineering paradigm].

Leveraging a solid foundation in engineering education, we have built a bioengineering talent development system tailored to intelligent biomanufacturing and biomedicine in response to the intelligent transformation of biomedicine and the national initiative for emerging engineering education. This paper introduces a digital-intelligence driven, competency-oriented educational philosophy, a "trini...

Key factors associated with social anxiety symptoms among Chinese adolescents: An exploration via machine learning models.

BACKGROUND: Numerous factors from the family environment, school contexts, and individual characteristics have been shown to be associated with adoles...

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recen...

Identifying Undiagnosed COPD Using Machine Learning-Based Classification.

BACKGROUND: COPD is a leading cause of morbidity and mortality worldwide. However, 80% of individuals with COPD are undiagnosed, leading to accelerate...

Predicting suicidal ideation from depression screening data: A network-augmented machine learning approach.

BACKGROUND: Suicidal ideation is often assessed using a single self-report item in routine screening. We developed a model that combines machine learn...

From Guidelines to Clicklists: GPT-5-Generated ERAS Checklists Improve Guideline Coverage for Bariatric and Gastrointestinal Cancer Surgery-A STROBE-Compatible Cross-Sectional Evaluation.

BACKGROUND: Enhanced Recovery After Surgery (ERAS) pathways improve outcomes after bariatric and gastrointestinal (GI) cancer surgery, yet real-world ...

Combined variations in sleep, physical activity, and nutrition and the risk of major adverse cardiovascular events.

AIMS: Sleep, physical activity, and nutrition (SPAN) are major lifestyle behaviours that influence cardiovascular disease risk. We examined the multi-...

Fundamentals of big data and artificial intelligence in transfusion medicine.

Within the digital transformation of medicine, transfusion medicine has quietly become a big-data discipline. The long-standing tradition of blood pro...

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-risk, complex populations like postmenopausal wome...

StructEIT: Realistic 3D EIT model generation from CT scans for deep learning applications.

OBJECTIVE: Artificial intelligence (AI) has significantly improved image reconstruction quality across various medical imaging modalities. However, it...

Modification strategies and multi-scene applications for plant proteins in 3D food printing: A review.

3D printing technology reveals considerable advantages in production of personalized foods. Plant proteins have become a popular material for 3D print...

Artificial Intelligence in Type 1 Diabetes Management: A Scoping Review of Randomised Controlled Trials.

BACKGROUND: Artificial intelligence is emerging in healthcare systems. In type 1 diabetes, AI-enabled tools are increasingly used to support nutrition...

The relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older adults across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from NHANES and CHARLS.

BACKGROUND: Sarcopenia has been proved to be associated with cardiovascular diseases, chronic kidney disease, and metabolic disorders, but the relatio...

Associations between 12 insulin resistance surrogates with metabolic dysfunction-associated steatotic liver disease risk and all-cause mortality: data from the NHANES III (1988-1994).

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been shown to be intimately linked to the presence of insulin resista...

Advances and opportunities in measuring dietary intake: from omics to AI.

Accurate measurement of dietary intake remains a cornerstone challenge in optimizing the efficacy of nutritional interventions in human disease. Tradi...

Association of accelerated biological aging with obstructive sleep apnea symptoms and identification of a candidate biomarker gene signature.

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is linked to cardiovascular, metabolic, and neurocognitive...

Vector Encoding of Phylogenetic Trees by Ordered Leaf Attachment.

As part of work to connect phylogenetics with machine learning, there has been considerable recent interest in vector encodings of phylogenetic trees....

"Successful Aging" with Generative AI: Cultural and Ethical Challenges in Representing Aging through Synthetic Imagery.

Synthetic imagery produced by Generative Artificial Intelligence (GenAI) is rapidly transforming how aging is visually represented and culturally unde...

Exploring approaches to computational representation and classification of user-generated meal logs.

OBJECTIVE: This study examined the use of machine learning (ML) and domain-specific enrichment in patient-generated health data, in the form of free-t...