Deco Dilemmas: The Push for Personalized Decompression Modeling

Personalized decompression modeling aims to improve diver safety by considering individual physiological differences, but significant challenges remain. Current algorithms for managing decompression sickness (DCS) are based on outdated research that does not sufficiently account for individual variability or real-time biological metrics. While researchers are working to establish more reliable ways to predict DCS risks using physiological markers, the lack of technology to measure these factors during dives complicates this process. Even though full personalization of decompression may not be achievable soon, ongoing studies show promise for future advancements in diver safety.