Biomedical Imaging and Healthy Aging

我们的目标是利用结合生物学和生物医学数据的创新数学模型，更好地了解健康衰老过程中的神经元活动、代谢和病理生理过程。在这种虚拟的大脑活动和病理环境中，个体受试者的脑部疾病发展的结果可以通过模拟来预测，并揭示预测转化为神经退行性疾病的因素。这些工具可以预测疾病的进展，并了解其原因。这种数值方法是研究有神经退行性疾病风险的健康衰老受试者病理生理过程的新范式，通过预防提供更好的健康。

Our objective is to better understand neuronal activity, metabolism and patho-physiological process in healthy aging using innovative mathematical models combining biological and biomedical data. In such virtual brain activity and pathology environment, the outcome of brain disease development for individual subjects can be foreseen by simulations and shed light on factors predicting conversion to neurodegenerative disease. These tools would allow prediction of the progress of the disease as well as an understanding of its causes. This numerical approach is a new paradigm of the study of the patho-physiological process in healthy aging subjects at-risk for neurodegenerative disease offering better health through prevention.