Results 231 to 240 of about 3,204,522 (342)
Role of artificial intelligence in determining nutritional risk factors among post-periodontal surgical patients. A scoping review. [PDF]
Varma SR +3 more
europepmc +1 more source
Nutrition and Hydration: Moral Considerations: A Statement of The Catholic Bishops of Pennsylvania [PDF]
Catholic Bishops of Pennsylvania
core +1 more source
U.S. Consumers Sometimes Prefer Seemingly Redundant Labels
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk +2 more
wiley +1 more source
AI-Enabled Precision Nutrition in the ICU: A Narrative Review and Implementation Roadmap. [PDF]
Briassoulis G, Briassouli E.
europepmc +1 more source
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley +1 more source
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya +2 more
wiley +1 more source
Smart Kiosk for Nutritional Management of People With Diabetes in Underserved Communities: Development and Technical Evaluation. [PDF]
Rivera-García GE +5 more
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Editorial: From diet to dental health: harnessing data and digital health records. [PDF]
Felix Gomez GG, Shahzad M.
europepmc +1 more source

