The proposed algorithm has the capability to qualitatively and quantitatively evaluate the gliding between the multiple substrates of the fascial system as a biomarker for a variety of different clinical conditions (e.g. low back pain) before-during-after treatment and in follow-up. The added value is concentrated in the identification of not only anatomical but also functional alterations resulting from the acquisition of dynamic ultrasound videos in vivo, offering a real-time investigation towards treatments that are not only personalized but also site-specific. To date, in clinical routine, the evaluation of the fascial system as a biomarker e.g., of aspecific pain, pertains to the experience of specialized practitioners, leading to error-prone evaluations that are based on subjective interpretations. This tool, on the other hand, offers the first objective way to spot the localised patient dysfunctions, for a rapid evaluation (i.e., diagnosis) and treatment/prevention, while reducing the time to patient, therefore costs and improving the quality of life of people who suffer from muscleskeletal disorders, towards an evidence-based care.