Application of Consolidity to Medicine and Pharmacology
There are other ample number of examples in biology and medicine
where the Consolidity Theory can play a key role. The theory will
definitely help for example in analyzing the consolidity of the
mechanisms for transformation of diseases and viruses. It will also
help for instance in the understanding of the consolidity of the
human beings immunity system and the evolutionary cycles of
biological living systems as an overall. The theory will surely open
new horizons in many other fields as well.
Consolidity of immune system
body is often described as being 'at war' meaning that the body is
constantly under attack from things that are trying to do it harm
including toxins, bacteria, fungi, parasites and viruses. All of
these can, under the right conditions, cause damage and destruction
to parts of the body and if these were left unchecked, the human
body would not be able to function. It is the purpose of the immune
system to act as the body's own army, in defense against this
constant stream of possible infections and toxins. This is done by
the recognition of self and response to non-self.
Although we all have the same immune system, in times of invasion
of diseases and epidemics some people die very fast while others
survive, why? What is the key point where is the secret? Why do
people react differently when exposed to infection?
If we can simulate the immune system and define its physical
parameters and use the consolidity index to examine its
consolidation we can then adjust the systems parameters on basis of
consolidation to get more superior consolidated ones. We can also do
the opposite to the attackers, by studying the way every attacker
work and then decrease its system’s consolidity to lower inferior
ِِAnother important field of application of consolidity
theory is pharmacology. One of the problems that can be handled in
this field is the drug dosing.
It can be made more precise by using pharmacokinetic and pharmacodynamic modeling. Pharmacokinetics is the study of the
concentration of drugs in tissue as a function of time and dose
schedule, while Pharmacodynamics is the study of the relationship
between drug concentration and drug effect. By relating dose to
resultant drug concentration (pharmacokinetics) and concentration to
effect (pharmacodynamics), a model for drug dosing can be generated.
These models follow the standard state space approach where advanced
control theory can easily be applied for their analysis and design.
Closed-loop, adaptive, and nonlinear control for
clinical pharmacology are in their infancy, with numerous challenges
and opportunities ahead.
The integration of advanced control theory and consolidity theory
will give a real impetus in fostering the progress in the
development of clinical pharmacology systems. Such implementation
should only be carried out for physical-based models avoiding making
any consolidity decisions according to empirical–based
pharmacodynamic models if their parameters are not related one by
one to the original physical parameters.