Category: Category 3
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Introduction Artificial intelligence is reshaping how we understand health by turning complex biological data into actionable nutritional insights. Unlike traditional diet models that rely on generalized guidelines, AI-driven nutrition adapts continuously, learning from individual behavior, metabolic responses, and lifestyle patterns. This shift marks a transition from static meal plans to dynamic systems that evolve alongside…
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Introduction Metabolism plays a central role in how the body converts food into energy, regulates weight, and maintains overall physiological balance. Yet, metabolic processes are highly individual and influenced by genetics, lifestyle, sleep, stress, and nutritional habits. Traditional approaches often oversimplify these dynamics, leading to generalized recommendations that fail to reflect individual variability. Artificial intelligence…