SYSTEM / ENTITY EXTRACTION
01
Extract biology
Identify cells, proteins, pathways, biological processes, and disease mechanisms from complex oncology literature.
System readiness100%
BioLayers sequence
01/05Source
From papers
Start with dense oncology literature and turn static text into a structured biological system.
Papers
System
AI × Computational Oncology
From papersto living maps.
Transform complex oncology research into an interactive map of cells, genes, proteins, pathways and disease mechanisms.
CellsProteinsPathwaysEvidencePubMed
Core intelligence systems
Research transformed intoan explorable living system.
Every layer of BioLayers AI converts complex oncology literature into structured, interactive, evidence-connected intelligence.
SYSTEM / GRAPH INTELLIGENCE
02
Explore relationships
Navigate connected biological knowledge graphs with interactive entities, mechanistic relationships, and contextual layers.
System readiness100%
SYSTEM / EVIDENCE ENGINE
03
Connect evidence
Surface PubMed studies, journals, authors, DOI records, and supporting scientific evidence for every biological mechanism.
System readiness100%
TP53
BRCA1
PTEN
EGFR
KRAS
PIK3CA
MYC
AKT1
Cancer Knowledge Graph
Connect the evidence.
Trace a relationship. Lock a node. Follow the biology.
BioLayers Planetary Network
One system.Global intelligence.
Drag the planet. Click a country. Explore a shared research network.
Scale transition initiated
Leave the planet. Enter the biology.
From planetary scale
8.2 billion lives.
Molecular Intelligence Layer
Biology is not static.It is a data universe.
Genes, pathways, evidence and biological signals move through one computational space.
From signal to structure
Decode the layers of life.
Built for computational oncology
Make complex cancer biologyeasier to see.
BioLayers transforms dense research paragraphs into visual, explorable biological systems by combining knowledge graphs, scientific search, and evidence discovery.
Technology stack
React FlowDagrePubMedThree.jsNext.js