Faradarmani Consciousness Field Suppresses Alzheimer’s Disease Development in both in vitro and in vivo Models of the Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alzheimer’s Disease (AD) is one of the most common causes of dementia, imposing large financial and psychological burdens on nations worldwide. Thus, we direly need new treatment strategies or drugs for this disease. The aim of this study is to investigate the effects of a novel non-pharmacological method in the treatment of Alzheimer’s disease, based on employing Taheri Consciousness Fields. These fields function at the level of cellular and molecular processes. In this study, the effects of Faradarmani Consciousness Field (CF) on the AD mouse model (in vivo) and human neuron cell line in vitro were investigated. In this study, we established a human neuron cell culture as well as a traumatic brain injury (TBI) mouse model. We then measured changes in amyloidopathy, tau protein content, microtubule assembly, neuronal cell survival, and finally behavior of TBI mice in Elevated Plus Maze under treatment of the Faradarmani CF. According to the results, the treatment of human neural cells and a mouse model of Alzheimer's disease by the Faradarmani CF leads to complete survival of neural cell models and elimination of amyloidopathy and tau protein, and remarkable behavioral improvement of the treated TBI mice model in the elevated plus-maze. Based on the results, Faradarmani CF treatment suppresses AD development in laboratory models. In this regard, conducting a human clinical study with the aim of introducing a new global complementary and alternative medicine in AD treatment is highly recommended.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it