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

Finding therapies hidden in 37,542 pediatric cancer papers.

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

37,542 Papers indexed
371 Papers AI scored
37,542 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

37542 results
B
Evaluating temozolomide for pediatric adamantinomatous craniopharyngiomas using microspheroid-based drug screening.
PMID 41760838 Published: 2026-02-27 Ingested: 2026-08-02 12:06 AM Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
AI -
Base 71.36
Rank 71.36
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.4/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 86.8; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

B
Novel Compounds Target Aberrant Calcium Signaling in the Treatment of Relapsed High-Risk Neuroblastoma.
PMID 40243990 Published: 2025-03-29 Ingested: 2026-08-02 12:04 AM International journal of molecular sciences
AI -
Base 71.36
Rank 71.36
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.4/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 84.3; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
AI -
Base 71.36
Rank 71.36
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.4/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 74.3; sample size: 50.0; recency: 80.0; abstract quality: 100.0.

B
Risk stratification of IBD-associated liver disease using routinely collected biomarkers from a large-scale real-world dataset.
PMID 41233114 Published: 2025-11-13 Ingested: 2026-08-02 12:05 AM BMJ open gastroenterology
AI -
Base 71.35
Rank 71.35
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.4/100. Study design: 70.0; human relevance: 90.0; therapeutic relevance: 16.8; sample size: 90.0; recency: 100.0; abstract quality: 100.0.

B
AI -
Base 71.35
Rank 71.35
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.4/100. Study design: 100.0; human relevance: 75.0; therapeutic relevance: 16.8; sample size: 50.0; recency: 80.0; abstract quality: 100.0.

B
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 81.7; sample size: 30.0; recency: 100.0; abstract quality: 85.0.

B
Baseline Neurocognitive Functioning in Children/Teenagers and Young Adults Treated for Central Nervous System Malignancies Prior to Proton Therapy.
PMID 41962500 Published: 2026-02-28 Ingested: 2026-08-02 12:06 AM Clinical oncology (Royal College of Radiologists (Great Britain))
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 54.2; sample size: 70.0; 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: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 64.2; sample size: 50.0; recency: 100.0; abstract quality: 100.0.

B
A single-center retrospective study investigating use of dietetic interventions and changes in nutritional intake and weight in children receiving proton beam therapy.
PMID 41655313 Published: 2026-01-09 Ingested: 2026-08-02 12:06 AM Nutrition (Burbank, Los Angeles County, Calif.)
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 70.0; human relevance: 90.0; therapeutic relevance: 51.7; sample size: 20.0; recency: 100.0; abstract quality: 100.0.

B
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 79.2; sample size: 20.0; recency: 100.0; abstract quality: 100.0.

B
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 51.7; sample size: 90.0; recency: 100.0; abstract quality: 85.0.

B
AI -
Base 71.34
Rank 71.34
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 71.3/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 44.2; sample size: 90.0; recency: 100.0; abstract quality: 100.0.

Previous
Page 491 of 3129
Next
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