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The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research: Proceedings of a Workshop - in Brief
Pages 1-13

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From page 1...
... Speakers discussed for Advancing Health through Agriculture at Texas definitions and methods; the appropriate use of evidence A&M University, noted that this is a critical time for generated from these methods to inform food- and nutrition science, agriculture, and public health, with nutrition-related programs and policies; considered dietary patterns being a major driver of rising health issues related to diversity, equity, inclusion, bias, and care costs. Including health and disease reduction as privacy; identified opportunities and challenges related goals for food and agriculture will require transforming to capacity building and training; and explored the advances across the entire food and agriculture value future potential of these methods in food and nutrition chain, he said, and advances in AI could help identify the research.
From page 2...
... Agricultural Research Anant Madabhushi, Robert W Woodruff professor and Service Human Nutrition Program, explained that its research neuroscientist in the Departments of Biomedical mission is to define the role of food and its components Engineering, Radiology, and Imaging Sciences and in optimizing health throughout the life cycle for all Biomedical Informatics and Pathology at Georgia Tech people by conducting high-national-priority research.
From page 3...
... For example, she discussed a study on four DL can advance nutritional science by taking individual data, models designed to segment cardiac magnetic resonance connecting these data with the variables that influence images that were all found to have performance biases individual choice, providing a better understanding depending on whether the images came from a man or of dietary patterns, enabling the prediction of health woman or a Black versus a White individual. In another outcomes, and identifying actionable variables or features instance, she reported on a study of a DL model for that public health officials can use to educate the public analyzing chest radiographs that severely underdiagnosed and change behavior.
From page 4...
... This enabled the researchers to isolate the effect worn around an individual's neck would detect food and of different foods on blood glucose response after eating beverage consumption, but people do not like wearing and show that the individualized glycemic response for such devices, and they also do not identify the food type. a particular person to a particular food varied greatly.
From page 5...
... However, health, Lamarche discussed a study that characterized he further stated that there are significant challenges to and mapped local environments by the relative address, such as appropriately considering data quality, proportion of low-quality food offerings and compared developing a common language between nutrition and that to a map of socioeconomic status and dietary habits computational science, and establishing standardized from Web-based dietary intake data. The ML model methods and approaches.
From page 6...
... The team modeled the system from inception and planning to completion, analysis, and with a 91 percent accuracy, evaluated eight different interpretation of findings, is important, she said, and food waste management alternatives regarding the cost will help integrate experts in all relevant fields to provide and environmental impact, and was able to provide insights from diverse perspectives. Das recommended the sponsoring company with actionable, data-driven engaging data scientists as integral peer collaborators.
From page 7...
... To promote that, NIH issued a request for applications (RFA) aimed at building Angela Odoms-Young, the Nancy Schlegel Meinig a future workforce capable of making pivotal discoveries associate professor of maternal and child nutrition using an increasingly complex landscape of big data and director of the Food and Nutrition Education in and an array of data tools to tackle complex biomedical Communities Program and New York State's Expanded January 2024 | 7
From page 8...
... Researchers and She noted that the potential exists for AI to be effective team leaders may have unconscious biases that influence at closing the gaps for the many U.S. subpopulations their decision making regarding team composition experiencing higher rates of diet-related morbidity and and lead to underrepresentation in research teams, mortality than the general population, but may also even when qualified candidates are available.
From page 9...
... consequences if incorrectly leveraged by clinicians, raising a concern about the little to no data supporting APPLICATION TO LARGE-SCALE FOOD AND NUTRITION how AI-powered CDS tools are being used by clinicians INITIATIVES who, for example, may use them as clinical decisionBiomedical Research making tools rather than support tools. Chris Hartshorn, chief of the Digital and Mobile Technologies Section in the Clinical and Translational Nutrition for Precision Health Program Science Awards program at NIH, said that the Holly Nicastro, program director in the NIH Office of transformational aspect of AI/ML tools will be that they Nutrition Research and program coordinator of the change the biomedical research calculus from simply Nutrition for Precision Health, powered by the All of Us analyzing a data type and subsequent hypothesis testing, Research Program (NPH)
From page 10...
... predictors and the evidence behind them being included in the Dietary Guidelines for Americans, which would be The priority, Smith said, should be investing in problems a great example of precision nutrition used in a public beset by externalities and develop technologies that can health setting. The idea, she added, is for practitioners help surmount the challenges of human behavior, which to use this information to inform dietary advice, whether he sees as a better path than trying to identify ways to that is the calorie level an individual might need or manipulate human behavior.
From page 11...
... "There is a deep, deep understanding within representation of different populations in ongoing data Indigenous communities and tribal governments in the collection, and address issues of data sovereignty. The United States that data sovereignty is important, and we field, she posited, will benefit from assembling diverse are very highly concerned about these issues," she said.
From page 12...
... Mejía-Argueta acknowledged that this is reflect the value of team-based research or communitya difficult situation and suggested ways to bolster team based participatory research, for example. The key is performance: having the right metrics of success in place that perhaps professional organizations could develop to reflect new • Identifying the key performance indicators for each ways of engaging in research.
From page 13...
... 2024. The role of advanced computation, predictive technologies, and big data analytics in food and nutrition research: Proceedings of a workshop -- in brief.


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