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

Finding therapies hidden in 40,279 pediatric cancer papers.

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

40,279 Papers indexed
1,440 Papers AI scored
40,279 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

40279 results
C
Determinants of clinic absenteeism in a chemotherapy service of a cancer center located at Rio de Janeiro, Brazil.
PMID 39042937 Published: 2024-07-23 Ingested: 2026-08-02 12:05 AM Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
AI -
Standard 66.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 59.7; sample size: 50.0; recency: 80.0; abstract quality: 85.0.

C
Germline polymorphisms of the NOD2 pathway may predict the effectiveness of radioiodine in differentiated thyroid cancer treatment.
PMID 38755492 Published: 2024-05-16 Ingested: 2026-08-02 12:03 AM Journal of endocrinological investigation
AI -
Standard 66.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 37.2; sample size: 80.0; recency: 80.0; abstract quality: 100.0.

C
Sex Bias in Treatment Abandonment of Childhood Cancer in India.
PMID 38270753 Published: 2024-01-25 Ingested: 2026-08-02 12:03 AM Indian journal of pediatrics
AI -
Standard 66.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 32.2; sample size: 90.0; recency: 80.0; abstract quality: 100.0.

C
Impact of pegaspargase dose capping on incidence of pegaspargase-related adverse events in adults.
PMID 37728166 Published: 2023-09-20 Ingested: 2026-08-02 12:02 AM Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
AI -
Standard 66.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 52.2; sample size: 50.0; recency: 80.0; abstract quality: 100.0.

C
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 57.1; sample size: 20.0; recency: 100.0; abstract quality: 100.0.

C
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 47.1; sample size: 40.0; recency: 100.0; abstract quality: 100.0.

C
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 42.1; sample size: 50.0; recency: 100.0; abstract quality: 100.0.

C
Exploring Clinical Studies and the FDA Adverse Event Reporting System (FAERS) Database for nirogacestat-related Adverse Events.
PMID 40637806 Published: 2025-07-10 Ingested: 2026-08-02 12:04 AM Therapeutic innovation & regulatory science
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 32.1; sample size: 80.0; recency: 90.0; abstract quality: 100.0.

C
A novel assessment of anthracycline-induced cardiotoxicity: topological flow data analysis in childhood cancer survivors.
PMID 40315026 Published: 2025-05-02 Ingested: 2026-08-02 12:04 AM American journal of physiology. Heart and circulatory physiology
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 62.1; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

C
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 62.1; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

C
Unusual "Mini-Rugby Ball" Pattern Solitary Lung Metastasis in Relapsed Ewing's Sarcoma.
PMID 39677351 Published: 2024-08-06 Ingested: 2026-08-02 12:01 AM World journal of nuclear medicine
AI -
Standard 66.92
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 66.9/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 62.1; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

Previous
Page 945 of 3357
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