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The Potential Impact of Biofield Treatment on Human Brain Tumor Cells: A Time-Lapse Video Microscopy

Abstract

Mahendra Kumar Trivedi, Shrikant Patil, Harish Shettigar, Sambhu Charan Mondal and Snehasis Jana

Study background: Glioblastoma (GBM) is the most common subtype of primary brain tumor in adults. The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.
Methods: The human brain tumor, GBM cultured cells were divided into two groups viz. GBM control and GBM treatment. Similarly, human normal brain cultured cells (non-GBM) were taken and divided into two groups viz. non- GBM control and non-GBM treatment. The GBM and non-GBM treatment groups were given Mr. Trivedi’s biofield treatment for the assessment of its potential. Two time-lapse (10 hours prior; 10 hours after) video microscopy experiment was performed on tumor and non-tumor brain cells in six replicate (n=6). For each microscopic field, the total cell number was counted and each cell was tracked over the 20 hours period. The potential impact of biofield treatment was assessed by comparing cell death rate in both GBM and non-GBM cells before and after biofield treatment.
Results: GBM control cells showed a basal level of cell death 10 hours prior and 10 hours after the biofield treatment, and the rate remained unchanged over the 20 hours period, while in treatment group of GBM, cell death rate was exponentially increased (41%) after biofield treatment as compared to control. The treated non-GBM cultured cells showed a significant reduction (64%) of cell death rate i.e. protective effects as compared to non-GBM control.
Conclusion: Altogether, data suggests that biofield treatment has significantly increased the cell death rate of treated GBM cells and simultaneously boost the viability of normal brain cells. Therefore, biofield treatment could be a suitable alternate treatment strategy for cancer patients in near future.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

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