Algorithm for predicting biological age has been developed

The Universidad Carlos III de Madrid (UC3M), together with research staff in the area of Health Sciences at the Complutense University of Madrid, with funding from the Mutualidad de la Abogacía Foundation, has developed an algorithm which allows the assignment and prediction of people's biological age. This prediction is made using socioeconomic variables, lifestyle, biomarkers and genetic information. According to information provided by the Spanish National Institute of Statistics (INE, in its Spanish acronym), the ageing rate of the Spanish population rose from 0.908 in 1997 to 1.183 in 2017. In turn, life expectancy increased exponentially over the same period of time. To obtain this data, the indicator which is commonly used is chronological age. However, the ageing of each person is also related to their lifestyle, among other factors. The Aristóteles project, carried out by a UC3M research team, has developed a new methodology for the use of a more precise indicator when calculating real population ageing.