[What happens if algorithmic music meets medicine]

Since ancient times there has been recognition of music's therapeutic powers, inherent in the properties of sound and its effects on human beings at a psychophysical level. Literature showed the development of therapeutic applications of music in numerous clinical settings. Music-listening itself can qualify as an effective therapeutic means within clinical contexts. Numerous studies document the potentialities of this practice. Whilst, it appears to be difficult to study the phenomenon of music from a scientific point of view, it may be possible to attempt moving music closer to science. Algorithms are of help in this process. Only recently has algorithmic music been used within the context of composing music with therapeutic aims helping to create songs for precise therapeutic aims: music characteristics can be altered and re-modelled and, above all, simplified. It was exactly this intent that recently brought into being an algorithm, Melomics-Health, which composes music with a "therapeutic" logic. Melomics-Health allows us to study the effect of specific musical parameters and structures on individuals (including neuro-scientific aspects) with the possibility to correlate effectiveness and efficiency to those precise musical aspects and to re-model the latter based on these findings. The use of algorithms applied to music as therapy constitutes a new starting point, an attempt to bring art and science closer together, to increase awareness and effectiveness in the use of music in therapeutic contexts; a new perspective integrating art, science and technology in the service of medicine, in clinical work and research.