The use of oncolytic virus to combat neuroblastoma
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
Neuroblastoma is a type of cancer that arises from immature nerve cells in the body and often appears in children. The current treatment of chemotherapy and radiotherapy is not a successful method of treatment due to its harm to the child’s body and its inability to effectively pass the blood-brain barrier (BBB) in the brain to effectively target the tumor. Recent studies into the field of oncolytic viruses have shown the possibility to target neuroblastoma cancer cells in the brain by engineering specific viruses to express NY-ESO-1, an antigen that is tumor-specific and commonly expressed in neuroblastoma. Research also showed a method to integrate protein A into the envelope protein of retroviruses which allows monoclonal antibodies’ Fc region to bind with the virus, allowing specificity to an antigen. This paper combines the ideas of previous studies to design a novel model of oncolytic virus treatment that specifically targets neuroblastoma. Since the oncolytic virus can be injected directly at the site and the virus is small enough to penetrate the BBB, the paper hypothesize that the model is a valid treatment for neuroblastoma in children.
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.
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 | 0.001 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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