Development of a comprehensive food glycomic database and its application: Associations between dietary carbohydrates and insulin resistance.

Carbohydrates are an integral part of a healthy diet. The molecular compositions of carbohydrates encompass a very broad range of unique structures with many being ill-defined. This vast structural complexity is distilled into vague categories such as total carbohydrates, sugars, starches, and soluble/insoluble fibers.

California provider and advocate perspectives about opportunities to optimize nutrition services and resources in the first 1000 days.

Background: Nutrition in the first 1000 days of life, from conception to age 2 years, plays a critical role in shaping offspring's physical and mental development, yet many families from underserved backgrounds suffer from nutrition inequity during this important stage of development. The objective of this study is to assess nutrition services and resources provided to families during the first 1000 days across diverse settings in California.

Methods: A semistructured survey was disseminated to healthcare and educational providers who offer services to pregnant and/or postpartum women and children up to age 2 years.

Dataset for gastrointestinal tract segmentation on serial MRIs for abdominal tumor radiotherapy.

Purpose: Integrated MRI and linear accelerator systems (MR-Linacs) provide superior soft tissue contrast, and the capability of adapting radiotherapy plans to changes in daily anatomy. In this dataset, serial MRIs of the abdomen of patients undergoing radiotherapy were collected and the luminal gastro-intestinal tract was segmented to support an online segmentation algorithm competition. This dataset may be further utilized by radiation oncologists, medical physicists, and data scientists to further improve auto segmentation algorithms.

Cross-Sectional Analysis of Infant Diet, Outcomes, Consumer Behavior and Parental Perspectives to Optimize Infant Feeding in Response to the 2022 U.S. Infant Formula Shortage.

Unlabelled: In May of 2022, millions of U.S. parents encountered uncertainty in safely feeding their infants due to the infant formula shortage.

Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.

Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve. However, advancement of these methods for dietary assessment in research settings has been hindered by the lack of an appropriate dataset against which to benchmark algorithm performance. We conducted the Surveying Nutrient Assessment with Photographs of Meals (SNAPMe) study (ClinicalTrials ID: NCT05008653) to pair meal photographs with traditional food records.