According to Fox News (@FoxNews), a recent segment tested hosts' core strength by measuring how long they could hold a plank compared to others in their age group (source: foxnews.com/health/can-you…). While the story primarily focuses on fitness, there are notable trading implications for health and fitness-related crypto tokens such as Sweat Economy and StepN. Increased public interest in fitness challenges, highlighted by mainstream media, often boosts on-chain activity and user engagement for move-to-earn platforms, which can lead to short-term price volatility and trading opportunities for these tokens (source: Dune Analytics, 2024). Traders should monitor social media trends and transaction volumes for health-sector cryptocurrencies following such media features.

According to Fox News, Rosie O'Donnell publicly credited Mounjaro, a weight loss medication produced by Eli Lilly, for her significant weight loss, leading to a surge in social media engagement and heightened interest in health-focused investments. With Eli Lilly’s stock (LLY) already showing bullish momentum due to the popularity of its GLP-1 drugs, this high-profile endorsement is expected to further influence trading volumes and investor sentiment. Crypto traders are also monitoring the growing intersection between pharmaceutical breakthroughs and health-related blockchain projects, as positive sentiment in the health sector can drive demand for digital health tokens and related DeFi platforms. Source: Fox News Twitter, May 25, 2025.

According to Bill Gates, the FDA has approved the first blood test for diagnosing Alzheimer’s disease, marking a significant advancement in early detection technology (source: Bill Gates on Twitter, May 20, 2025). This development could drive investor interest in biotech stocks, particularly those focused on neurodegenerative disease diagnostics. The approval also signals increased integration of AI and healthcare, which may boost health-focused crypto tokens and blockchain projects aiming to revolutionize medical data management, as easier and earlier diagnosis becomes more feasible.