The principles of molecular therapies for glioblastoma.
Bibliographic record
Abstract
Publisher Summary This chapter discusses the principles for molecular therapies for glioblastoma (GBS). Molecular therapy is defined as the introduction of genetic material into GBS cells, either for direct killing of the cells or to facilitate the ability of the host to eradicate them. The therapy of glioblastoma continues to be a major challenge for neurosurgeons, oncologists, radiotherapists, and other health professionals involved in the care of patients. For the complete eradication of GBS, more than one molecular strategy is necessary in a given patient. However, it appears that for an optimal outcome, molecular and non-molecular modalities should be combined. The use of corticosteroids, radiotherapy, and drugs for inhibition of neovascularization is likely to be the most important. In addition, debulking of operable tumors by advanced techniques (i.e., gamma knife) is also a valuable adjunct. To ascertain the feasibility, efficacy, synergy, and safety of the cited modalities for GBS therapy, carefully designed preclinical experiments must be conducted in appropriate animal models.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.034 |
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".