BLISS HALO : An approach to hormone level optimization using natural stimuli with the aid of Artificial Intelligence
Date Issued
2025
Author(s)
Advisor
Abstract
Over the past decades there have been several research conducted regarding brain-waves
activity [37] and hormone levels in alignment with human condition and behavior, mainly
focused and correlated with the psychological state of groups with certain health conditions and
syndromes
[38, 39, 41, 42, 50].
In parallel to that, there were also several researches and experiments regarding
medicine/chemicals, and how those affected the aforementioned hormone levels [35] as well as
brain-waves, human behavior, and mental health state respectively.
The recent advancements in technology, and more specifically, the rapid improvement and
evolution of Artificial Intelligence and Machine Learning techniques and methodologies, made
running and evaluating said researches and experiments, easier, more accurate, robust, and
precise; unlocking new pathways and innovations in the fields of Medicine. A strong example is
the recent application of Data Science and Machine Learning methods to aid in managing and
better handling the pandemic outbreak of the SARS Coronavirus 19 disease of 2019, that only
lasted in critical levels for less than a couple of years with the measures and medicine applied
and provided by the research teams across the world, resulting in minimizing the spread
phenomena as much as possible. More specifically, there were several researches [38, 39, 40, 41,
43] that focused on deciphering, understanding the human brain’s behavior, chemistry and
physiology when it is affected by medical conditions including illnesses and mental state. In
parallel, there has been a significant increase in research and advancements in medicinal drugs
aimed at treating previously untreatable illnesses. A substantial portion of this research has
focused on understanding and supporting the mental state [41, 42] of individuals in various life
situations.
activity [37] and hormone levels in alignment with human condition and behavior, mainly
focused and correlated with the psychological state of groups with certain health conditions and
syndromes
[38, 39, 41, 42, 50].
In parallel to that, there were also several researches and experiments regarding
medicine/chemicals, and how those affected the aforementioned hormone levels [35] as well as
brain-waves, human behavior, and mental health state respectively.
The recent advancements in technology, and more specifically, the rapid improvement and
evolution of Artificial Intelligence and Machine Learning techniques and methodologies, made
running and evaluating said researches and experiments, easier, more accurate, robust, and
precise; unlocking new pathways and innovations in the fields of Medicine. A strong example is
the recent application of Data Science and Machine Learning methods to aid in managing and
better handling the pandemic outbreak of the SARS Coronavirus 19 disease of 2019, that only
lasted in critical levels for less than a couple of years with the measures and medicine applied
and provided by the research teams across the world, resulting in minimizing the spread
phenomena as much as possible. More specifically, there were several researches [38, 39, 40, 41,
43] that focused on deciphering, understanding the human brain’s behavior, chemistry and
physiology when it is affected by medical conditions including illnesses and mental state. In
parallel, there has been a significant increase in research and advancements in medicinal drugs
aimed at treating previously untreatable illnesses. A substantial portion of this research has
focused on understanding and supporting the mental state [41, 42] of individuals in various life
situations.
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