Animal research depends on the health and welfare of its subjects to obtain reliable results. It is crucial that the animals are not in a state of distress, pain, or experiencing excessive stress to achieve accurate data. Humane endpoints (HE) are established as a means of identifying when an animal's pain and/or distress should be addressed. Evaluation of several characteristics and behaviours provides an overall view of the health status of the individual. In association with daily monitoring, welfare scores are fundamental to detecting HE in a timely manner, minimising further suffering. However, in some cases, daily inspection may become more invasive than intended, especially when prior procedures or clinical signs require close attention. The validation of a multivariate logistic regression model based on the welfare scores of past animal models, as a predictability tool to pinpoint animals in the best possible conditions to handle the demanding in vivo studies, is of the utmost importance in the area of pain treatment.