Personalized Nutritional Therapy Based on Blood Data Analysis for Malaise Patients

Abstract

As medical doctors, we routinely check patient blood chemistry and CBC data to diagnose disease. However, these data and methods of analysis are very rarely used to find pre-disease conditions or treat undiagnosed malaise. Masatoshi Kaneko Ph.D. found that many pre-disease conditions and types of malaise could be detected using his unique method of blood data analysis, and could also be treated using personalized nutritional therapy as an alternative to using drugs. The authors of this article introduce personalized nutritional therapy based on blood data analysis (Kaneko’s method), and present and discuss some clinical cases. In total, 253 pre-disease or undiagnosed patients were treated using this nutritional therapy approach, and most of them recovered from their chronic symptoms and pre-disease conditions. This novel nutritional therapy has the potential to help many presymptomatic and undiagnosed patients suffering from malaise.

The use of tools for automatic proof of mathematical logic theorems for modeling the dynamic balance of minerals in the human body

“…As can be seen from the proof, the theorem is about establishing a fact-nding the human body X in a potentially healthy state A from the point of view of the dynamic balance of minerals. However, if clinicians create correct additional recommendations to be approved by regulatory authorities for speci c minerals, then the LDM will remain unchanged but will be supplemented with formulas that re ect the meaning of the additional ratios between minerals [49][50][51][52][53][54].…”