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Challenges of Rare Diseases and the Advancement of Personalized Healthcare
Rare diseases face a lack of research and funding due to their low prevalence, contrasting with more common diseases like diabetes or Alzheimer's which attract significant resources. New capabilities in healthcare, like AI and genetics, enable the identification of patterns across rare diseases and promote a shift towards personalized healthcare. This personalized approach involves tailoring treatments based on individual genetic information and early disease prediction, moving away from population-based averages to a more individualized healthcare model. By leveraging large datasets, computing power, and advanced algorithms, healthcare is transitioning towards a predictive and preventive focus, aiming to address genetic disorders and diseases at an earlier stage in life. Through advancements in personalized healthcare, individuals can optimize their health outcomes and potentially extend their innate capabilities, leading to a promising future in healthcare and beyond.