Journal of Nutrition & Food Sciences
Open Access

Department of Computer and Information Sciences, College of Science and Technology, Florida Agricult, 1610 S. Martin Luther King Blvd, Tallahassee, FL 32307, USA

Publications

• Research Article   
  Artificial Intelligence-Enhanced Assessment of Lipid Profiles in Commercial Infant Foods in the United States
  Author(s): Clement G. Yedjou, Kevine Makoudjou, Monica Ochapa, Jinwei Liu, Samia Messeha and Paul B. Tchounwou*
  
  Introduction: Normal consumption of lipids is essential for optimal baby growth and neurological development, yet comprehensive analysis of lipid content in commercial baby foods remains limited. This study provides the first systematic, AI-enhanced assessment of lipid profiles across commercially available infant food products. Methods: A cross-sectional analysis of 245 commercial baby food products was conducted using artificial intelligence and machine learning algorithms for data processing and pattern recognition. Among the 245 commercial baby food products in the United States, 25 products have zero lipid content, while 220 products contain lipids ranging from 0.1 to 28.58 g of lipids. Products were categorized by total lipid content per 100g into four groups: Zero (0.0g), Low (≤ 1.0g), Moderate (>1.0-5.0g), and High (>5.0g). .. View More»
  DOI: 10.35248/2155-9600.26.16.116

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