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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 39,245 pediatric cancer papers.

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

39,245 Papers indexed
1,440 Papers AI scored
39,245 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

Database feed

Last ingest 2026-10-14 09:15 AM
1 Inflammatory myofibroblastic tumor of the greater omentum in a 7-year-old girl. Archivos argentinos de pediatria — Oct 14, 2026 2 Development and description of a logic model for a guided, low-intensity cognitive behavioural therapy intervention for parents of persons treated for cancer during childhood: the EJDeR intervention. BMJ open — Oct 14, 2026 3 Parents' Perspectives on Using Computerized Cognitive Training to Manage Cognitive Late Effects in Children With Cancer: Qualitative Descriptive Study. Journal of medical Internet research — Oct 14, 2026 4 Palliative Care Education for Spiritual Care Providers and Faith Leaders: A Global Integrative Review. The American journal of hospice & palliative care — Oct 14, 2026 5 Medulloblastoma Spatial Transcriptomics Reveals Tumor Microenvironment Heterogeneity With High-Density Progenitor Cell Regions Correlating With High-Risk Disease. JCO precision oncology — Oct 14, 2026 6 Body Composition Assessment and Correlation to Metabolic Profile in Survivors of Childhood Brain Tumors. Journal of pediatric hematology/oncology — Oct 14, 2026 7 Incidence and Predictors of Symptomatic Thrombosis During Asparaginase-containing Therapy in Children With Acute Lymphoblastic Leukemia: A Meta-analysis and Narrative Synthesis. Journal of pediatric hematology/oncology — Oct 14, 2026 8 Wastage of injectable anticancer drugs in a public hospital chemotherapy compounding unit: A prospective descriptive study. Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners — Oct 14, 2026
PEDIATRIC CANCER RESEARCH TERMINAL

All ranked pediatric cancer papers

39245 results
B
The global landscape and development pipeline for childhood cancer medicines: a comprehensive analysis with dashboard generation.
PMID 40580968 Published: 2025-06-25 Ingested: 2026-08-02 12:04 AM The Lancet. Child & adolescent health
AI -
Standard 81.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 81.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 65.0; sample size: 20.0; recency: 90.0; abstract quality: 100.0.

B
Illuminating the hidden cost: A systematic review of cognitive late effects regarding cancer-related fatigue in treated paediatric brain tumors.
PMID 39759484 Published: 2024-12-09 Ingested: 2026-08-02 12:03 AM Technical innovations & patient support in radiation oncology
AI -
Standard 81.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 81.0/100. Study design: 95.0; human relevance: 75.0; therapeutic relevance: 50.0; sample size: 100.0; recency: 90.0; abstract quality: 85.0.

AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 81.0/100. Study design: 100.0; human relevance: 100.0; therapeutic relevance: 30.0; sample size: 60.0; recency: 90.0; abstract quality: 100.0.

B
B7-H3 is widely expressed in soft tissue sarcomas.
PMID 39478506 Published: 2024-10-30 Ingested: 2026-08-02 12:02 AM BMC cancer
AI -
Standard 81.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 81.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 60.0; sample size: 30.0; recency: 90.0; abstract quality: 100.0.

B
Family experiences of receiving treatment recommendations in a precision medicine trial for poor-prognosis childhood cancer.
PMID 42399266 Published: 2026-07-03 Ingested: 2026-08-02 12:07 AM NPJ genomic medicine
AI -
Standard 80.98
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 81.0/100. Study design: 90.0; human relevance: 100.0; therapeutic relevance: 42.4; sample size: 70.0; 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: 81.0/100. Study design: 70.0; human relevance: 90.0; therapeutic relevance: 79.9; sample size: 70.0; recency: 90.0; abstract quality: 100.0.

B
AI -
Standard 80.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 80.9/100. Study design: 80.0; human relevance: 95.0; therapeutic relevance: 72.2; sample size: 50.0; recency: 100.0; abstract quality: 85.0.

B
Wells syndrome: emerging triggers and treatments- an updated systematic review.
PMID 40488888 Published: 2025-06-09 Ingested: 2026-08-02 12:04 AM Archives of dermatological research
AI -
Standard 80.94
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 80.9/100. Study design: 95.0; human relevance: 75.0; therapeutic relevance: 62.2; sample size: 60.0; 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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