个性化医疗和健康公平:克服成本障碍和道德挑战
Kishi Kobe Yee Francisco1,2, Andrane Estelle Carnicer Apuhin1,2, Nicholle Mae Amor Tan Maravilla3
1Biology Program, College of Arts and Sciences, University of St. La Salle, Bacolod City, Negros Occidental, Philippines.
个性化医疗 (PM) 提供量身定制的医疗保健,但面临成本和道德障碍. 整合人工智能推进PM,但有可能扩大健康不平等,特别是在LMICs,需要全球解决方案.
科学领域:
- 数字健康数字健康
- 精准医学是一门精准的医学.
- 医疗保健中的人工智能
背景情况:
- 个性化医疗 (PM) 将医疗保健量身定制为个人资料.
- 数字健康技术对于使PM成为可能至关重要.
- PM有潜力彻底改变治疗策略.
研究的目的:
- 检查PM在医疗保健中的变革潜力.
- 分析成本障碍和阻碍公平实施PM的伦理困境.
- 调查人工智能在推动PM中的作用及其对健康公平的影响.
主要方法:
- 关于个性化医疗,数字健康和人工智能的文献评论.
- 分析成本障碍和道德考虑.
- 探索创新解决方案和全球卫生倡议.
主要成果:
- 人工智能集成是实现个性化医学目标的核心.
- 先进的技术和专业知识要求可能会加剧健康差距.
- 不平等的PM接入可能会扩大现有的健康不平等,特别是在LMICs.
结论:
- 解决成本和道德挑战对于公平的PM至关重要.
- 需要创新的解决方案和全球举措,以使PM福利与健康公平目标保持一致.
- 技术进步与公平获取之间的平衡是个性化医学的未来的关键.
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