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Record W2156190827 · doi:10.5430/jst.v2n6p23

Solid Tumors and Photobiomodulation: A Novel Approach to Induce Physiologically Reparative Homeostasis / Homeokinesis. Review

2012· article· en· W2156190827 on OpenAlexvenueno aff
Luis Santana‐Blank, Elizabeth Rodríguez–Santana, Jesús A. Santana-Rodríguez, Karin E. Santana‐Rodríguez

Bibliographic record

VenueJournal of Solid Tumors · 2012
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsHomeostasisNeuroscienceCancerCancer cellMedicineBioinformaticsBiologyCell biologyInternal medicine

Abstract

fetched live from OpenAlex

It has been argued that loss of homeostasis is what, in essence, allows cancer cells to divide and invade tissues. Hence, novel anticancer therapies should aim not only at killing cancer cells, but at reestablishing homeostasis /homeokinesis. This review aims to present and discuss evidence on the potential use of laser photobiomodulation in the treatment of solid tumors. We propose that, by supplying external electromagnetic (light) energy within parameters capable of powering and regulating electrochemical biological systems, photobiomodulation may help restore homeostasis/homeokinesis–inducing physiologically reparative effects for disease reversal in cancer and other complex diseases. This view is based on more than two decades of research, which indicates that light can modulate physiologic energy pathways and, in particular, ATP generation and signaling via the “classic” respiratory chain pathway and through light-water interactions in tissues and oxygen-independent mechanisms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.364
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

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