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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 38,748 pediatric cancer papers.

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

38,748 Papers indexed
963 Papers AI scored
38,748 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 2026-09-30 09:15 AM
1 Clinicopathologic Features and Survival Determinants of Hepatosplenic T-Cell Lymphoma: A Pooled Patient-Level Dataset Analysis. Hematological oncology — Sep 30, 2026 2 What Is Pediatric Melanoma? Clinical and Genomic Features and the Role of Next-Generation Sequencing in Tumor Classification. International journal of dermatology — Sep 30, 2026 3 The Fetal Effects of Chorionic Villus Sampling. Birth defects research — Sep 30, 2026 4 Multi-Center Evaluation of Opioid Administration or Prescription in Pediatric Oncology Patients Using the OMOP CDM. Cancer medicine — Sep 30, 2026 5 Hypofractionated versus conventional fractionated postmastectomy radiotherapy for patients with high-risk breast cancer (CHN HYPOPMRT): 10-year outcomes from a randomised, non-inferiority, open-label, phase 3 trial. The Lancet. Oncology — Sep 30, 2026 6 Beyond Research Priorities: Stakeholder-Identified Health System Challenges From an Australian Childhood Cancer Priority-Setting Partnership. Health expectations : an international journal of public participation in health care and health policy — Sep 30, 2026 7 Trend analysis and Bayesian projection of childhood life-limiting conditions in Korea: insights into incidence and mortality. BMJ paediatrics open — Sep 30, 2026 8 Bacterial detection in paediatric cancer patients with febrile neutropenia, from conventional microbiological testing to advanced molecular techniques: a scoping review. Archives of disease in childhood — Sep 30, 2026
PEDIATRIC CANCER RESEARCH TERMINAL

All ranked pediatric cancer papers

38748 results
C
Epstein-Barr virus-associated thymic lymphoepithelial carcinoma in a child.
PMID 42228526 Published: 2026-06-04 Ingested: 2026-08-02 12:07 AM Archivos argentinos de pediatria
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 60.0; sample size: 20.0; recency: 100.0; abstract quality: 65.0.

C
Hidden Cardiac Channelopathies in Children Presenting with Syncope and Seizure-like Events.
PMID 42194195 Published: 2026-05-12 Ingested: 2026-08-02 12:07 AM Children (Basel, Switzerland)
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 60.0; human relevance: 85.0; therapeutic relevance: 10.0; sample size: 70.0; recency: 100.0; abstract quality: 100.0.

C
Epigenetics and In Silico Transcriptome Analysis of Pediatric Acute Myeloid Leukemia.
PMID 42173694 Published: 2026-05-22 Ingested: 2026-08-02 12:06 AM European journal of haematology
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 50.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
The Double Burden: Understanding the Impact of Malnutrition on Childhood Cancer Outcomes in Resource-Limited Settings.
PMID 42125621 Published: 2026-05-11 Ingested: 2026-08-02 12:06 AM International journal of pediatrics
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 50.0; sample size: 20.0; recency: 100.0; abstract quality: 85.0.

C
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 60.0; human relevance: 85.0; therapeutic relevance: 10.0; sample size: 70.0; recency: 100.0; abstract quality: 100.0.

C
Development of a predictive model integrating urogenital pathogens and inflammatory markers for human papillomavirus infection.
PMID 42052094 Published: 2026-04-13 Ingested: 2026-08-02 12:06 AM Frontiers in cellular and infection microbiology
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 60.0; human relevance: 85.0; therapeutic relevance: 10.0; sample size: 70.0; recency: 100.0; abstract quality: 100.0.

C
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 70.0; human relevance: 90.0; therapeutic relevance: 10.0; sample size: 30.0; recency: 100.0; abstract quality: 100.0.

C
Myeloma Precursors Erode Durable Immunity: Results of the IMPACT study.
PMID 42040964 Published: 2026-04-14 Ingested: 2026-08-02 12:06 AM Research square
AI -
Standard 64.0
Final -
AI Summary

This pediatric cancer paper has not been AI summarized yet.

Why It Matters

Deterministic evidence score: 64.0/100. Study design: 55.0; human relevance: 85.0; therapeutic relevance: 60.0; sample size: 20.0; recency: 100.0; abstract quality: 65.0.

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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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