Bibliographic record
Abstract
We stand on the shoulders of giants on the threshold of many new exciting developments in the field of child neurology due to innovations in clinical approach, diagnostic technologies and treatment strategies. There are many exciting new technologies, but we must never forget the power of clinical medicine which allows us to interpret and use these tools with precision and with clinical wisdom. Strong collaborations continue to be needed: between clinicians for the meticulous clinical phenotyping, expansion of the range of phenotypic expression, and the entry of patients into international RCTs (randomised controlled trials); between the biochemists for the biochemical phenotyping and understanding of the basic pathophysiology of the underlying dysregulations and disease mechanisms arising from the protein dysfunctions and the development of robust biomarkers, to evaluate disease severity and response to therapies; and between the geneticists for the understanding of the impact of the exonic or intronic mutations, roles of other regulatory genes on the affected pathway, and epigenetic factors. These collaborations in the aggregate will lead the field forward in terms of increased insight into disease pathophysiology for the development of targeted precision medicine treatment strategies and effective preventative measures. This review is meant to highlight certain selected areas of future development and is not meant to be a comprehensive survey beyond the scope of this review. The subspecialty areas which will be highlighted will include intellectual disability, epilepsy, neuroprotection, neonatal and fetal neurology, CNS infections, headache, autoimmune/inflammatory disorders, demyelinating disorders, stroke, movement disorders, neurotransmitter defects, neuromuscular diseases, neurometabolic disorders, neurogenetic diseases, neuropsychiatry/autism, and neurooncology. In each subspecialty area, I will endeavor to identify emerging diseases, new specific diagnostic technologies and novel therapeutic approaches, but will need to be selective. This review is the culmination of a literature survey for current developments, discussions with leaders in each of the subspecialty fields, who I will acknowledge at the end, and certain personal projections.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.048 | 0.016 |
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".