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

Finding therapies hidden in 38,812 pediatric cancer papers.

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

38,812 Papers indexed
963 Papers AI scored
38,812 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

View all discoveries →
PEDIATRIC CANCER RESEARCH TERMINAL

All ranked pediatric cancer papers

38812 results
C
Meaning-making through digital storytelling: Experiences of children and adolescents with cancer within Peplau's theory and a hermeneutic approach.
PMID 41616491 Published: 2025-12-07 Ingested: 2026-08-02 12:05 AM European journal of oncology nursing : the official journal of European Oncology Nursing Society
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 44.0; sample size: 30.0; recency: 100.0; abstract quality: 85.0.

C
Investigating vimseltinib in tenosynovial giant cell tumors.
PMID 41582091 Published: 2026-01-27 Ingested: 2026-08-02 12:06 AM Expert opinion on pharmacotherapy
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 49.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
Influence of ApoE genotype on doxorubicin-induced cognitive impairment in juvenile rats.
PMID 41436539 Published: 2025-12-24 Ingested: 2026-08-02 12:05 AM Scientific reports
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 49.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
Targeted next-generation sequencing for respiratory infections in patients with haematological malignancies.
PMID 41346360 Published: 2025-11-19 Ingested: 2026-08-02 12:03 AM Frontiers in cellular and infection microbiology
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 34.0; sample size: 50.0; recency: 100.0; abstract quality: 85.0.

C
Pediatric NUT carcinoma: a patient series and literature review.
PMID 41174555 Published: 2025-10-31 Ingested: 2026-08-02 12:05 AM BMC pediatrics
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 45.0; human relevance: 85.0; therapeutic relevance: 64.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
Acute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging.
PMID 40989360 Published: 2025-08-07 Ingested: 2026-08-02 12:03 AM PeerJ. Computer science
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 70.0; therapeutic relevance: 44.0; sample size: 60.0; 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: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 41.5; sample size: 20.0; recency: 100.0; abstract quality: 100.0.

C
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 49.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
Anti-N-Methyl-D-Aspartate Receptor Encephalitis Presenting as Isolated First-Episode Psychosis in A 16-Year-Old Girl, Complicated by Neuroleptic Malignant Syndrome.
PMID 40786547 Published: 2025-07-16 Ingested: 2026-08-02 12:03 AM European journal of case reports in internal medicine
AI -
Standard 63.8
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 63.8/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 54.0; sample size: 20.0; recency: 90.0; abstract quality: 85.0.

Previous
Page 1260 of 3235
Next
Before you continue

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.

Pediatric cancer research intelligence graphic
PEDIATRIC CANCER VISUAL SYSTEM

Open the Research Intelligence Map

Explore the active pediatric oncology analysis view.

Expand Intelligence View →
Full Pediatric cancer research intelligence graphic