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Active intelligence prompt Pediatric cancer: surface high-value therapeutic signals across pediatric oncology literature.
PEDIATRIC CANCER RESEARCH INTELLIGENCE

Finding therapies hidden in 39,184 pediatric cancer papers.

Neurocompute scores pediatric oncology literature, surfaces overlooked therapeutic signals, and turns fragmented childhood cancer research into a living discovery terminal.

39,184 Papers indexed
1,440 Papers AI scored
39,184 Ranked papers
100.0% Coverage
PATIENT-FRIENDLY SUMMARY

CHIP-AML22: a complex clinical trial in de novo pediatric AML patients, including a gemtuzumab ozogamicin randomization and targeted therapy with quizartinib in eligible subgroups, within the NOPHO-DB-SHIP consortium.

For education only—not personal medical advice.

LIVE PEDIATRIC ONCOLOGY INTELLIGENCE
↑ Therapeutic signals emerging ↑ New pediatric cancer papers ingested ↑ Cross-paper convergence detected ↑ Human relevance scores updating ↑ Overlooked treatment paths surfacing
TOP PEDIATRIC CANCER SIGNALS

Ranked Discovery Journal Articles

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PEDIATRIC CANCER RESEARCH TERMINAL

All ranked pediatric cancer papers

39184 results
B
Clinical evidence and reporting standards in reirradiation: Insights from 28 studies at ESTRO 2025, endorsed by the ESTRO reirradiation focus group.
PMID 41476914 Published: 2025-12-01 Ingested: 2026-08-02 12:05 AM Clinical and translational radiation oncology
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 40.0; sample size: 90.0; recency: 100.0; abstract quality: 100.0.

B
Dabrafenib in pediatric patients with BRAF V600 mutation-positive high-grade glioma: Results from a phase 1/2a single-arm study.
PMID 41458923 Published: 2025-08-16 Ingested: 2026-08-02 12:04 AM Neuro-oncology practice
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 70.0; sample size: 30.0; recency: 100.0; abstract quality: 100.0.

B
Late effects after high-risk neuroblastoma (LEAHRN): a multicentre, cross-sectional cohort study from the Children's Oncology Group.
PMID 41016399 Published: 2025-09-25 Ingested: 2026-08-02 12:05 AM The Lancet. Child & adolescent health
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 50.0; sample size: 70.0; recency: 100.0; abstract quality: 100.0.

B
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 100.0; human relevance: 100.0; therapeutic relevance: 50.0; sample size: 40.0; recency: 100.0; abstract quality: 100.0.

AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 70.0; sample size: 40.0; recency: 90.0; abstract quality: 100.0.

AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 80.0; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
Long-Term Tumor Stability After First-Line Treatment With Larotrectinib in an Infant With NTRK2 Fusion-Positive High-Grade Glioma.
PMID 39236755 Published: 2024-09-01 Ingested: 2026-08-02 12:02 AM Journal of the National Comprehensive Cancer Network : JNCCN
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 80.0; human relevance: 95.0; therapeutic relevance: 100.0; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
AI -
Standard 84.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 50.0; sample size: 90.0; recency: 80.0; abstract quality: 100.0.

B
Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma.
PMID 39623344 Published: 2024-12-03 Ingested: 2026-08-02 12:03 AM BMC medical research methodology
AI -
Standard 83.98
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 79.9; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
The impact of gene polymorphisms on the response of methotrexate-based treatments.
PMID 42104114 Published: 2026-05-09 Ingested: 2026-08-02 12:07 AM European journal of clinical pharmacology
AI -
Standard 83.96
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 95.0; human relevance: 75.0; therapeutic relevance: 72.3; sample size: 60.0; recency: 100.0; abstract quality: 100.0.

B
Phase 1 study of balinatunfib, an oral inhibitor of TNFR1 signal in mild-to-moderate psoriasis.
PMID 41671079 Published: 2026-02-11 Ingested: 2026-08-02 12:06 AM Journal of the European Academy of Dermatology and Venereology : JEADV
AI -
Standard 83.96
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 84.0/100. Study design: 100.0; human relevance: 100.0; therapeutic relevance: 49.8; sample size: 40.0; recency: 100.0; abstract quality: 100.0.

B
AI -
Standard 83.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 83.9/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 82.2; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

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AI-assisted research information

Neurocompute uses AI to summarize scientific papers, interpret research signals, and suggest relevant reference links. AI-generated content can be incomplete, misleading, or wrong, and generated links may be irrelevant or unavailable.

Our reviewed outputs have performed strongly to date, but past accuracy is not a guarantee. Verify summaries, scores, claims, and links against the original publication before relying on them.

This platform is for research and education only. It does not provide medical advice, diagnosis, treatment recommendations, or clinical guidance.

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