The aim of this article was to review the factors that influence the aging, relationship of aging with the biological rhythms and new technologies as well as the main theories to explain the aging, and to analysis the causes of aging. The theories to explain the aging could be put into two groups: those based on a program that controlled the regression of the organism and those that postulated that the deterioration was due to mutations. It was concluded that aging was a multifactorial process. Genetic factors indicated the maximum longevity of the individual and environmental factors responsible for the real longevity of the individual. It would be necessary to guarantee from early age the conservation of a natural life rhythm.

The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower growth was observed when density dependence increased, with a constant value of cell division rate. This type of modelling could be useful to simulate the cell response under different environmental conditions.