0

Alan Olan

Independent Researcher, USA

Presentation 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".