What changed from existing technology?
This study uses mathematical models to create normal scores for brain function tests in Irish jockeys, comparing different methods to see which works best.
This is the first study to apply a neural network-based quantile regression framework with monotonicity constraints to generate normative data for neuropsychological tests in athletes.
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This is not a success probability or investment opinion. It prioritizes follow-up using evidence available when the paper was published.
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- 시제품·장치 구현 근거 미확인
- 제조·규모 확장 근거 미확인
- 장기·실사용 검증 근거 미확인
Later patent, company, clinical, and production events are added separately only after verification.
Patent check: Not checked yetCurrent technology stage: Early research
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What still needs to be solved?
Repeated real-world validation, manufacturability, cost, and long-term stability still require follow-up evidence.
What could change if this succeeds?
This approach could be used to develop more accurate normative data for cognitive assessments in athletes, potentially improving concussion management and return-to-play decisions.
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