Authors: Mustafa A. Khan
Comments: 4 Pages.
The purpose of this article is to express mathematically all the available information about any chronic neurological disease, such as relapsing-remitting multiple sclerosis, in such a way that all the known variables of the disease can be expressed as a function with time as one of the variables and thereby follow the disease in real time both generally and specifically in a given patient.
The method consists of mapping all the known variables about any chronic neurological disease, such as relapsing-remitting multiple sclerosis on a (n+1) dimensional space with time being one of the variables and deriving from this certain functions that represent the disease generally and also specifically in any given patient.
The results of using this method is the derivation of functions with (n+1) variables. One of the functions will represent the entire disease generically, while other functions will represent the disease in any given individual patient.
Using this method one can derive several conclusions. These include, finding any sub-types of a chronic neurological disease, help in the prognostication of the disease course in a given patient, stratification of the treatments for the disease, selection of a treatment that is the most useful for a given patient and finally remove the need for doing long and expensive head to head clinical trials of the different treatments for a disease.
Category: Functions and Analysis