
Alan Olan
Independent Researcher, USAPresentation Title:
Method of Finding Non-Infectious Disease Causes by Combining Multiple Research. A unique combination of physiological changes which causes Breast Cancer
Abstract
OBJECTIVE:
To introduce a novel, mathematically based method
of finding non infectious disease causes and to apply
this method to a Breast Cancer in order to determine
its physiological causes and to build a hypothesis of
Breast Cancer pathology. The method was published
in the article “Method of Combining Multiple
Researches to Determine Non-Infectious Disease
Causes, Analysis of Depression and Celiac Disease
Causes”
METHODOLOGY:
The method is using a special algorithm based in
math which allows to find disease causes for a
specific non-infectious disease using results of
multiple researches regarding risk factors of the
disease. This method allows to combine dozens of
such researches together with dozens of researches on
biochemistry and physiology to extract implicit
information on the causes of non-infectious disease out
this entire research.
The method often allows to find few dozen of disease
causation factors and more for a non-infectious disease
out of known risk factors. These disease causation
factors all point to the same unique set of limited
number of physiological changes approximately
beyond 1-sigma. The number of these physiological
changes usually vary depending on the non-infectious
disease from a minimum of 2 to a maximum of 6 or
very rare more. The method allows to determine which
physiological parameters are impacted by each of the
dozens of disease causation factors previously found.
These 2 to 6 physiological changes coexisting at the
same time long enough must( it is not optional) trigger
a non-infectious disease.
RESULTS:
Using this method and applying over 29 existing selected studies at the same time an author analyses Breast Cancer and as a result the work concludes that next unique combination of physiological parameters changes beyond 1- sigma interval (slightly less, actually) causes Breast Cancer if the changes coexist long enough. This combination for Breast Cancer consist of 4 physiological changes which should coexist at the same time: Increased DNA strand breaks (beyond 1-sigma), TNF-alfa increased (beyond 1-sigma), Leptin level increase(beyond 1-sigma), High estradiol (beyond 1-sigma). This unique physiological changes can be triggered by multiple different combinations of external factors and this fact creates a visible randomness in a Breast Cancer pathology... Also, as usual the method allowed systematically create a detailed hypothesis of Breast Cancer pathology. At the very high level this hypothesis states that the disruption of natural DNA damage/DNA repair homeostasis leads to a Breast Cancer.
CONCLUSION:
Using a novel method of finding of non-infectious disease causes the research has found that a Breast Cancer is caused by a unique set of 4 physiological changes approximately beyond 1-sigma which should co-exist at the same time long enough to trigger the disease.The knowledge of this physiological changes can be used in mass preventing of Breast Cancer, treating it and possibly curing it in early stages by controlling them so they are within 1-sigma by re-purposing known or using newly developed medicines. The research also stresses that all non- infectious diseases occur due to a change in 2 or more physiological parameters of the body beyond approximately 1-sigma which present at the same time long enough. There can be many different environmental and other factors which impact physiological changes in the body but only those factors which impact entire set of disease causing physiological changes so they go beyond 1-sigma will trigger a specific non- infectious disease.
Biography
Alan Olan has graduated from the Kazan State
Technical University, USSR with MS degree. He has
been working for many years in one of Fortune 500
companies. He has published few articles in well
known medical journals on the topics of disease
prevention and disease pathology. Alan Olan has won
a title of ICRE 2024 International Best Researcher
Award in the field of Disease Pathology for the article
"A Connection between Factors Causing Diseases and
Diseases Frequencies: Its Application in Finding
Disease Causes".