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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 39,488 pediatric cancer papers.

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

39,488 Papers indexed
1,440 Papers AI scored
39,488 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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LATEST PEDIATRIC CANCER PAPERS

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Last ingest 2026-10-21 09:15 AM
PEDIATRIC CANCER RESEARCH TERMINAL

All ranked pediatric cancer papers

39488 results
C
AI -
Standard 59.75
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 28.8; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
Identification of Biomarkers Related to the Pathogenesis and Prognosis of Pediatric Moyamoya Disease Via Cerebrospinal Fluid Proteomics.
PMID 41034428 Published: 2025-10-01 Ingested: 2026-08-02 12:05 AM Translational stroke research
AI -
Standard 59.75
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 28.8; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
sc-MULTI-omics approach in nano-rare diseases: understanding the pathophysiological mechanism of Mulvihill-Smith Syndrome.
PMID 40343591 Published: 2025-05-09 Ingested: 2026-08-02 12:04 AM Functional & integrative genomics
AI -
Standard 59.75
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 28.8; sample size: 30.0; recency: 90.0; abstract quality: 85.0.

C
Transcriptomic and in silico analysis of BLACE (B-cell acute lymphoblastic leukemia expressed), a new non-coding RNA, as a diagnostic biomarker in B-cell ALL.
PMID 39571677 Published: 2024-11-19 Ingested: 2026-08-02 12:02 AM The international journal of biochemistry & cell biology
AI -
Standard 59.75
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 33.8; sample size: 20.0; recency: 90.0; abstract quality: 85.0.

C
Synthesis of Gd-DOTA-BMTP and its application in gadolinium neutron capture therapy for osteosarcoma.
PMID 42313263 Published: 2026-06-18 Ingested: 2026-08-02 12:07 AM Journal of cancer research and clinical oncology
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 50.0; human relevance: 55.0; therapeutic relevance: 66.2; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 30.0; human relevance: 80.0; therapeutic relevance: 81.2; sample size: 20.0; recency: 100.0; abstract quality: 65.0.

C
Delays in the diagnosis and treatment of cervical cancer in the department of Meta, 2017–2023: a cross-sectional study.
PMID 41401409 Published: 2025-05-26 Ingested: 2026-08-02 12:04 AM Revista colombiana de obstetricia y ginecologia
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 60.0; human relevance: 85.0; therapeutic relevance: 26.2; sample size: 20.0; recency: 90.0; abstract quality: 85.0.

C
Carbon-ion Radiotherapy for Hepatocellular Cancer Arising in Transplanted Liver Tissue.
PMID 41318141 Published: 2025-12-01 Ingested: 2026-08-02 12:05 AM Anticancer research
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 30.0; human relevance: 80.0; therapeutic relevance: 63.7; sample size: 20.0; recency: 100.0; abstract quality: 100.0.

C
Burden of HIV among Patients Undergoing Cancer Treatment: Analysis of Population Cancer Registry in Northern Tanzania.
PMID 41281964 Published: 2025-01-01 Ingested: 2026-08-02 12:04 AM Journal of registry management
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 26.2; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

C
Identification of EEF1A2 as a potential therapy target of osteosarcoma using novel compound 8e.
PMID 41252934 Published: 2025-11-08 Ingested: 2026-08-02 12:05 AM European journal of medicinal chemistry
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 50.0; human relevance: 55.0; therapeutic relevance: 66.2; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
AI -
Standard 59.74
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 59.7/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 26.2; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

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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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