EXTH-59. Supporting development of novel brain tumour therapies through global collaboration: early insights from a novel therapeutics accelerator
Bibliographic record
Abstract
Abstract Researchers developing novel therapies for brain tumours must navigate numerous challenges, including selection of suitable preclinical studies, safety, trial design, evolving regulatory landscapes, and securing sustained funding. To address these barriers, the Brain Tumour Research Novel Therapeutics Accelerator (BTR-NTA) was launched in 2023. BTR-NTA is an international therapeutics accelerator offering structured, multidisciplinary input to support and de-risk the development of novel therapies. The BTR-NTA Committee comprises experts spanning discovery science, preclinical and clinical development, regulatory, manufacturing, and patient involvement. Supported by Brain Tumour Research, participation in BTR-NTA is free for academic groups. Industry and academic researchers at any stage of development may submit their therapy for a BTR-NTA review. The Committee select eight therapies each year, who each receive up to 240 hours of expert input, including detailed assessment of the therapies’ strengths and potential risks, and guidance on next steps. Central to the process is an in-person meeting with each research group and the BTR-NTA Committee, during which the proposed therapy is constructively discussed. Since its inception, the accelerator has received 29 requests for support from international groups developing brain tumour therapies. Fifteen therapies have been progressed to full review, and 37 multidisciplinary experts have provided input and guidance. One hundred percent of participants reported intentions to refine their research and development strategy based on BTR-NTA input, and 86% gained new insights or ideas previously unconsidered. Early indicators of BTR-NTA’s downstream impact include successful follow-on funding, strategic redesign of therapeutic approaches, and the formation of new patient involvement partnerships. In addition, the programme has identified recurring challenges across translational programmes that are now being synthesised to inform and benefit the broader neuro-oncology community. BTR-NTA provides a novel approach to support researchers developing brain tumour therapies. Early results highlight its value in strengthening translational strategies and accelerating progress toward clinical impact in neuro-oncology.
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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 | 0.055 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.068 | 0.019 |
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".