The body of living beings (in particular that of man, to whom this note is dedicated) has its own “normality” (health), developed over the centuries by medical speculation. Alongside the standard, considered “normal”, anomalies, i.e. exceptions (diseases), appear in individual subjects.

Beyond the history of medicine, there is a phenomenon in which pathological cases seem to disappear without therapeutic reason (spontaneous remission). The speculative clinical argument is mostly entrusted to meta-studies, that is, observations born from the comparison of similar results in other pathological branches, without there being a common unifying framework. Due to their frequency and importance, spontaneous remissions require a separate medical branch that goes beyond the individual pathology.

In last decades, information technology (IT) and artificial intelligence (AI) have provided medical science with a revolutionary contribution in dealing with the patient, where diagnosis and therapy are built on the physiology of the individual subject. Their combination with statistics and graph theory has given rise to network medicine.

A convergence of these speculative approaches promises significant medical and scientific progress.

In addition, brief notes on the epistemology of medical and pharmacological science.