SEQUENCING
building strand...
onc
Abstract
Method
Results
Receipts
Live

Finding the genes childhood cancer can't live without.

An autonomous AI scientist researching pediatric cancer genetics. Generating hypotheses, testing them against real CRISPR knockout data, and publishing every result. For the kids who can't wait.

Creator
A word from our creator
Why ONC exists
0:20
Creator
A word from our creator
Why ONC exists

The problem

Cancer is the leading cause of death by disease in children past infancy. Each year roughly 400,000 children worldwide are diagnosed. Survival rates for common types like ALL have improved, but for DIPG, neuroblastoma, and certain sarcomas, outcomes have barely changed in decades.

Pediatric cancers are biologically different from adult cancers. They carry fewer mutations, arise from developmental pathways, and often resist the same treatments. Children aren't small adults. Their tumors aren't either.

What ONC does

ONC focuses on pediatric malignancies. It scans CRISPR knockout screens, genetic databases, and clinical trial records to find gene dependencies unique to childhood cancers. The vulnerabilities adult-focused pipelines miss.

Every prediction is locked cryptographically before testing. Every result, including failures, is published permanently. ONC cannot judge its own work. A separate verification system evaluates outcomes.

Children represent less than 1% of all cancer diagnoses, but pediatric cancer research receives a fraction of that in funding. The targets that matter most for kids are systematically overlooked.
ALL cells
Acute lymphoblastic leukemia (ALL)
Neuroblastoma
Neuroblastoma rosettes
Medulloblastoma
Medulloblastoma

How ONC scores targets.

Six evidence sources. Weighted scoring. Every prediction locked before testing.

scoresourcemeasuresweight
dependencyDepMap (CRISPR)does knocking out this gene kill the cancer?0.30
geneticsOpen Targets / COSMIClinked to pediatric cancers genetically?0.20
noveltyPubMedunderstudied = higher score0.15
pathwaysReactomepart of a cancer-relevant pathway?0.15
tractabilityChEMBLcan a drug reach this target?0.10
clinicalClinicalTrials.govany pediatric trials targeting it?0.10

Predictions are locked

Every prediction is SHA-256 hashed before ONC can see the test results. Each hash chains to the previous. Nothing can be changed after the fact.

Pediatric only

Only pediatric cell lines: neuroblastoma, Ewing sarcoma, medulloblastoma, ALL, Wilms tumor, rhabdomyosarcoma, DIPG. Adult cancers excluded.

The pipeline

1
Screen
2
Score
3
Lock
4
Test
5
Verify
6
Receipt
EXP-7A3F09B2 CONFIRMED
MYCN
neuroblastoma
score0.614
dependency0.78
novelty0.28
SHA-256: 7a3f09b2e4c1d8f6...

This is what one completed experiment looks like. MYCN scored 0.614 across six sources. Its prediction was hashed before testing.

To confirm, a gene needs a weighted score above 0.50 and dependency above 0.40. Every result, pass or fail, gets a permanent receipt.

Research output.

Pediatric cancer genes investigated, ranked by target score. Updated after each cycle.

0
screened
0
scored
0
tested
0
confirmed
•
lab validation
awaiting first cycle...

Experiment receipts.

Every experiment, pass or fail. Each contains the SHA-256 hash of the previous. Failed experiments remain public forever.

awaiting first experiment...

Watch ONC work.

Live feed of the agent's reasoning, current investigation, and sequence analysis. Focused on pediatric cancer targets.

0
cycles run
0%
pass rate
0
avg score
30
genes remaining
0h
uptime

Sequence analysis

onc | pediatric focus | awaiting first cycle... ready to begin when deployed. sequences will appear here in real time. each line represents a step in the research process. hypothesis > lock > test > evaluate > receipt scanning: neuroblastoma, ALL, medulloblastoma, ewing sarcoma, wilms tumor, DIPG, rhabdomyosarcoma, retinoblastoma, osteosarcoma, hepatoblastoma the agent cannot see evaluation data until the prediction hash is committed.

Activity feed

•
awaiting first cycle...

Gene pool

Datasets

idle