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

Finding therapies hidden in 37,740 pediatric cancer papers.

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

37,740 Papers indexed
608 Papers AI scored
37,740 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

37740 results
B
Comparing the effectiveness of mandala art and value clarification on the anxiety and emotional state of parents of children with cancer: A randomized controlled trial.
PMID 39985981 Published: 2025-02-05 Ingested: 2026-08-02 12:03 AM European journal of oncology nursing : the official journal of European Oncology Nursing Society
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 100.0; human relevance: 100.0; therapeutic relevance: 20.0; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Using a Longitudinally Aware Segmentation Network.
PMID 39969278 Published: 2025-05-01 Ingested: 2026-08-02 12:04 AM Radiology. Artificial intelligence
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 10.0; sample size: 70.0; recency: 90.0; abstract quality: 100.0.

B
Enteral and parenteral nutrition in patients with cancer: complication rates compared-updated systematic review and meta-analysis.
PMID 39890439 Published: 2025-04-30 Ingested: 2026-08-02 12:04 AM BMJ supportive & palliative care
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 100.0; human relevance: 75.0; therapeutic relevance: 10.0; sample size: 90.0; recency: 90.0; abstract quality: 100.0.

B
Reproductive and Hormonal Factors and Thyroid Cancer Risk: Pooled Analysis of Prospective Cohort Studies in the Asia Cohort Consortium.
PMID 39846314 Published: 2025-04-01 Ingested: 2026-08-02 12:12 AM Cancer prevention research (Philadelphia, Pa.)
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 100.0; human relevance: 75.0; therapeutic relevance: 10.0; sample size: 90.0; recency: 90.0; abstract quality: 100.0.

B
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 100.0; human relevance: 100.0; therapeutic relevance: 20.0; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
Ureaplasma parvum serovar 6 may be a novel element in the progression of HPV infection to CIN: A cross-sectional study of 7058 women.
PMID 39732293 Published: 2024-12-26 Ingested: 2026-08-02 12:03 AM The Journal of infection
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 80.0; human relevance: 95.0; therapeutic relevance: 20.0; sample size: 90.0; recency: 90.0; abstract quality: 100.0.

B
Artificial Intelligence and Machine Learning Predicting Transarterial Chemoembolization Outcomes: A Systematic Review.
PMID 39708260 Published: 2024-12-21 Ingested: 2026-08-02 12:03 AM Digestive diseases and sciences
AI -
Base 75.0
Rank 75.0
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 75.0/100. Study design: 95.0; human relevance: 75.0; therapeutic relevance: 40.0; sample size: 60.0; recency: 90.0; abstract quality: 85.0.

Previous
Page 316 of 3145
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