Comparative Analysis of Clinical Outcomes and Financial Aspects of Phototherapies and Immunotherapy for Cancer
Bibliographic record
Abstract
Photo-responsive/activable nanomedicine-driven therapies have emerged as a transformative approach to effectively target and eliminate tumors across different types of solid cancers. When synergistically combined with immunomodulators, these therapies significantly enhance anti-cancer efficacy. This comprehensive review examines the current advancements in photo-responsive/activable immunomodulator-loaded nanomedicines (PINs), providing a detailed analysis of their preclinical development, clinical translation, and associated research funding. The diverse PINs are systematically categorized, innovative design strategies are explored, and the underlying photo-responsive/activable and immunomodulatory mechanisms are elucidated. By integrating clinical advancements with technical innovations and financial perspectives, this review bridges the translational gap, underscoring the immense potential of PINs to revolutionize cancer therapy. This comprehensive resource is indispensable for researchers striving to bring phototherapies to clinical fruition in the battle against cancer.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".