MACHINE LEARNING ANALYSIS ON THE IMPACT OF BISPHENOL A (BPA) EXPOSURE ON SKELETAL DEVELOPMENT

Abstract

Bisphenol A is a synthetic compound commonly found in human consumer products. This hazardous material possesses estrogenic properties that might negatively impact human health, especially during crucial stages of growth and development. The present study aims to evaluate the effect of BPA on bone cell differentiation within chick embryos. The chick embryos used in this paper serve as an appropriate model system for investigating skeletal development as the potential adverse impact of BPA exposure on it. Various concentrations of BPA were delivered to chick embryos at different time points. Micro-CT images of chick embryos bones were used to identify the anomalies in bone development induced by the exposure to Bisphenol A. This study has found a prominent abnormality in bone morphology, such as fractures, disruptions, and changes in bone density above exposure to BPA. The skeletal disturbances among BPA exposed chick embryos, especially on the 18th day after development, in case of high doses of the compound, were most notable. The VGG19 model used in present study demonstrated decent accuracy in “the classification of anomalies induced by BPA exposure”. Overall, it was possible to suggest that BPA exposure on varied levels and time points of chick embryos development was able to be detected by the model with a high level of accuracy. Moreover, the results of this study emphasize the hazardous nature of BPA exposure on human health.