Nabil Giweli
Papers
1
Total Citations
4
H-Index
1
About
Nabil Giweli is a researcher at the intersection of artificial intelligence, public health, and geriatric nutrition, with a growing focus on how AI-driven interventions can promote healthy eating among older adults. His most cited work, a systematic literature review published in 2025, critically examines the application of AI technologies—such as personalized dietary recommendation systems and monitoring tools—to address age-related nutritional challenges, including diminished taste perception and metabolic changes. This review has already garnered 4 citations, signaling its timely relevance in the field of digital health. Giweli’s research contributes to a pressing global need: leveraging technology to support the well-being of aging populations. By synthesizing evidence on AI’s role in dietary behavior change, he provides a foundational framework for future interventions and policy recommendations. His work is particularly notable for bridging the gap between computational methods and practical nutrition science, offering actionable insights for healthcare practitioners and technologists alike. As the field of AI in geriatric care expands, Giweli’s contributions position him as an emerging voice in evidence-based, technology-enabled health promotion.
Research Focus
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Top Papers
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