Improvement in Dry Age-Related Macular Degeneration with Photobiomodulation
Bibliographic record
Abstract
Introduction: This case report describes a finding of dramatic improvement in drusen volume and visual acuity in a 73-year-old patient diagnosed with dry age-related macular degeneration (AMD) undergoing daily home photobiomodulation alongside AREDS-2 supplements. Case Presentation: This is a retrospective review of a case presentation from 2023 to 2024. After 8 months of continuous home photobiomodulation, the patient's visual acuity improved from 20/30 to 20/20 in the left eye while the right eye stabilized at 20/25. The outer retina was preserved without signs of geographic atrophy, with a robust reduction in the total number and volume of drusen in both eyes, left greater than right, as shown with optical coherence tomography macular cross-sectional scans. Conclusions: These findings support that photobiomodulation has the potential to improve the management of dry AMD and the overall quality of life, consistent with phase III clinical trials. Future studies are warranted to further establish optimized protocols for broader clinical implementation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".