University of Geneva, Centre Universitaire d'informatique, Battelle, Batiment A, 7 Route de Drize 1227 Carouge (CH), Switzerland.
University of Lausanne, Center for Public Health and Primary Care Medicine (Unisanté), 44 Rue du Bugnon 1011 Lausanne (CH), Switzerland.
Comput Biol Med. 2024 Mar;171:108119. doi: 10.1016/j.compbiomed.2024.108119. Epub 2024 Feb 6.
Various skin and ocular pathologies can result from overexposure to ultraviolet radiation and blue light. Assessing the potential harm of exposure to these light sources requires quantifying the energy received to specific target tissue. Despite a well-established understanding of the light-disease relationship, the quantification of received energy in diverse lighting scenarios proves challenging due to the multitude of light sources and continuous variation in the orientation of receiving tissues (skin and eyes). This complexity makes the determination of health hazards associated with specific lighting conditions difficult. In this study, we present a solution to this challenge using a numerical approach. Through the implementation of algorithms applied to 3D geometries, we created and validated a numerical model that simulates skin and ocular exposure to both natural and artificial light sources. The resulting numerical model is a computational framework in which customizable exposure scenarios can be implemented. The ability to adapt simulations to different configurations for study makes this model a potential investigative method in human health research.
过度暴露于紫外线辐射和蓝光会导致各种皮肤和眼部病变。评估暴露于这些光源的潜在危害需要量化特定靶组织接收到的能量。尽管人们对光与疾病的关系有了很好的理解，但由于光源种类繁多，以及接收组织（皮肤和眼睛）的方向不断变化，多样化的照明场景中的能量接收量化证明具有挑战性。这种复杂性使得确定与特定照明条件相关的健康危害变得困难。在这项研究中，我们使用数值方法解决了这一挑战。通过将算法应用于 3D 几何图形，我们创建并验证了一个数值模型，该模型模拟了皮肤和眼睛对自然光和人造光源的暴露。所得到的数值模型是一个计算框架，可以在其中实现可定制的暴露场景。能够根据不同的配置来适应模拟研究，这使得该模型成为人类健康研究中的一种潜在研究方法。
