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On Structuring Hyperspherical Manifold for Probing Novel Biomedical Entities.

The insufficient high- throughput modeling capability for high-dimensional, multiscale, and nonlinea...

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Crop breeding technologies are vital for global food security. While traditional methods have improv...

Perspectives, challenges and future of artificial intelligence in personalised nutrition research.

Personalised nutrition (PN) has emerged as an approach to optimise individual health outcomes throug...

Possibilities and limitations of artificial intelligence in food-derived peptides.

The deep integration of artificial intelligence (AI) with research on food-derived peptides (FDPs) s...

Machine learning-based design, screening, and activity validation of topoisomerase I inhibitors.

Topoisomerase I (TOP I) plays a vital role in maintaining genomic stability and regulating cellular ...

Application of Artificial Intelligence to Lipid Nutrition: A Narrative Review.

Artificial intelligence (AI) has made significant progress in life sciences, with promising results ...

Potential and challenges for application of microbiomes in agriculture.

The plant microbiome can promote plant health and productivity through a multitude of mechanisms. Ou...

Precision nutrition in epigenetic aging: SHAP-optimized machine learning identifies omega-3 constituent-specific associations with aging biomarkers.

This cross-sectional investigation seeks to examine the association between dietary omega-3 fatty ac...

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...

Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Seafood, including fish, prawns and various marine products, is a critical component of global nutri...

Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes.

This study examines the integration of artificial intelligence-generated content (AIGC) tools across...

Artificial intelligence (AI) in New Psychoactive Substances (NPS) analysis: state-of-art and future perspectives.

Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, appro...

[Digital urology : Possible uses for artificial intelligence and digital health applications].

BACKGROUND: Urology presents itself as a modern and future-oriented discipline. Artificial intellige...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the ...

A pilot study of the potential role of ChatGPT in stated-calorie diet planning.

BACKGROUND/OBJECTIVES: Developments in artificial intelligence encourage society to seek advice from...

Monochromatic LeafAdaptNet (MLAN): an adaptive approach to spinach leaf disease detection using monochromatic imaging.

A country's economic growth heavily relies on agricultural productivity, specifically nutrition deri...

Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare.

Mental health disorders, including depression, anxiety, post-traumatic stress disorder, and dementia...

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