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Record W7135043269 · doi:10.1093/neuped/wuaf001.261

OTHR-02. An international accelerator programme for novel brain tumour therapies: Early impact and lessons learned

2025· article· en· W7135043269 on OpenAlex
Charlotte Aitken, Katie Bushby, Camille Goetz, Petra Hamerlik, Edward M. Kaye, Dione Kobayashi, Ryan Mathew, Javad Nazarian, Karen Noble, Ruth Plummer, Ruman Rahman, Juanita Suzanne Lopez, Kanneboyina Nagaraju

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeuro-Oncology Pediatrics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsMultidisciplinary approachIdentification (biology)Process (computing)Drug developmentClinical trialMultidisciplinary team

Abstract

fetched live from OpenAlex

Abstract Developing a comprehensive translational programme for brain tumours involves navigating numerous challenges, including robustness of preclinical studies, safety, clinical trial design, understanding and addressing regulatory requirements, and funding. Recognising the difficulty of this journey, the Brain Tumour Research Novel Therapeutics Accelerator (BTR-NTA) was launched in 2023. The BTR-NTA is an accelerator programme providing independent expert guidance to de-risk drug or device development through systematic evaluation. The international, multidisciplinary BTR-NTA Committee spans expertise across the entire therapeutic development pipeline. Supported by Brain Tumour Research, the BTR-NTA programme is free for academic applicants. Researchers at any stage of therapeutic development may apply to BTR-NTA. Accepted applicants receive up to 240 hours of expert input, with feedback on strengths, identification of potential risks, and guidance on next steps. As part of the BTR-NTA review, the applicants and Committee meet in-person to constructively evaluate and discuss the proposed therapeutic strategy. Since the launch of BTR-NTA in 2023, 23 international groups have applied to the programme, eleven therapeutics have been advanced to the in-person review by the BTR-NTA Committee, and 34 multidisciplinary experts have been involved. All applicants who provided feedback on the programme intended to refine their future work based on the Committee’s input, 83% said the process provided new insights or ideas they had not previously considered, and the average rating of the programme’s usefulness was 9.7 out of 10. A number of common challenges to developing therapies in the brain tumour field have been identified and these lessons can be shared with the wider brain tumour community to help accelerate the translation of future therapies. The ultimate goal of the BTR-NTA programme is to help researchers with a potential therapy for brain tumours navigate the development journey and reach the clinic in an efficient way.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.363
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it