Presentation on September 28-29, 2017, at the 5th Annual BayesiaLab Conference:
BBN modeling in predicting cancer using AURA analysis
Cognitive sciences have recognized the power of the quantum field in profiling human influences in the environs as also in defining the impact on psycho somatic diseases. However, the quantum field associated with an individual is still the subject of abstract analysis with very limited objectivity till date.
The article attempts to correlate the elements of aura photography and capture the quantum determinants to correlate with the onset of disease; more particularly the changes in the pathological states and the concomitant medical condition.
This research is at an elementary stage but is directed at throwing insights onto the psychological influences of cancerous growth of cells. BBN is potentially poised to impact the research in a positive way owing to the rigors in its machine learning models.
This is fundamentally a theoretical discussion with the implications in active research in pathology and medicine.