Bibliographic record
Abstract
I am delighted to be invited to speak at our 20th anniversary Photoimmunotherapy conference. Our development goes back almost 35 years when any attribution to photosensitized immunology was part of the Dougherty Optical Methods for Tumor Diagnosis and Therapy Conference. Photoimmunology has always being an area of investigation, but was focused on UV-induced biology. An early paper by Levy et al coined the term “photoimmunotherapy” where a photosensitizer was conjugated to an immune agent. My lab soon followed and since then, antibody-sensitizer conjugates have become a popular pursuit. Very sophisticated conjugates are now made worldwide. Canti in Italy and Korbelik in Canada focused on Photodynamic therapy (PDT)- induced cellular immunologic effects. Meanwhile, new PDT-related observations were made in photochemical and photothermal effects with a wide array of applications. These more adventurous studies needed a home. With Steve Jacques, we started a new conference on photochemical, photothermal, and photoimmunological effects. It was Professor Wei Chen’s interest and persistence that led to a full Photoimmunology conference. I will review some of the early work in the field.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".