UCI Sports Nutrition Project: Nutrition in Road Cycling
The UCI Sports Nutrition Project paper delivers the most comprehensive review of race nutrition for professional road cycling. It highlights that modern races start at higher intensities, causing earlier glycogen depletion and a greater reliance on exogenous carbohydrates. Energy expenditure reaches 5,000‑7,000 kcal per day, prompting teams to target 90 g/h of carbs during rides, with some athletes testing up to 120 g/h, while protein is prioritized after exercise. The study also details how teams use data‑driven tools, AI algorithms and individualized plans to balance hydration, body‑mass management and recovery.
When AI Gets Health Questions Wrong
A BMJ Open audit of five popular AI chatbots—Gemini, DeepSeek, Meta AI, ChatGPT and Grok—found that nearly half of their health‑related answers were problematic, with 19.6% rated highly problematic. The study tested 50 prompts across cancer, vaccines, stem cells, nutrition...
Will Artificial Intelligence (AI) Replace Sports Practitioners?
Artificial intelligence is reshaping sports practice, automating data‑heavy tasks but not supplanting human expertise. AI excels at scale, speed, consistency, and vast knowledge, enabling rapid pattern detection in nutrition and performance metrics. However, it lacks the ability to interpret psychosocial...
Artificial Intelligence (AI) in Sports Nutrition
Artificial intelligence has become embedded in daily sports nutrition workflows, from wearable readiness scores to automated meal‑plan generators. The technology excels when problems are well‑defined, data are accurate, and outcomes are objective—exemplified by AI‑driven endurance nutrition planning and real‑time analysis...