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Welcome to INTERACT!
About the Program
About the Program
Welcome to the web home of the Interdisciplinary Systems-based Training for Precision Nutrition Program!
Arizona State University is proud to offer predoctoral and postdoctoral training in Artificial Intelligence (AI) for Precision Nutrition (AIPrN) through a T32 training grant funded by the National Institutes of Health (NIH). The NIH AIPrN training initiative encompasses the integration of precision nutrition, AI, machine learning (ML), systems biology, systems science, big data, and computational analytics. The goal is to foster workforce development for the integration and use of growing data resources to tackle complex biomedical challenges in nutrition science that traditional approaches fail to address.
Program Highlights:
The INTERACT program will provide an interdisciplinary, comprehensive training in precision nutrition topics, reflecting the expertise of our mentor team in nutrition and metabolism (obesity and diabetes; microbiome and functional foods; energy balance; wearable technologies; and digital health interventions) and artificial intelligence and systems modeling (multimodal and multiscale data integration; systems biology; actionable and interpretable AI; AI-based personalization ; time-series and mobile device analytics; and geographic information systems).
All trainees will participate in a hybrid-delivered “bootcamp” experience in nutrition and data science upon entry into the program and enroll in a precision nutrition and AI course to build a strong foundation for interdisciplinary training.
Trainees will personalize their coursework by selecting relevant courses in statistical and machine learning, energetics, nutrigenomics, clinical applications, adaptive trial design, etc.
Training will be further supported by regular seminar series and journal clubs; experiential rotations; annual symposia; and community, industry, and healthcare-based internships.
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