Decentralised AI Cancer Research Platform
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Privacy-preserving federated learning for early detection of cancer cases — breast, cervical and prostate cancer (in progress)
Enhancing early prevention and diagnosis of breast, cervical and prostate cancer through decentralised AI research while preserving patient privacy.
Combining radiomics, federated learning, and blockchain to create a secure global research network.
Processing 1,200+ cancer cases annually through our clinical validation network.
Deep learning models for tumour characterisation using MRI, CT, and ultrasound imaging.
Collaborative model training without sharing sensitive patient data.
Semantic framework for standardised cancer data representation.
Decentralised storage with IPFS and blockchain-based authentication.
DICOM images collected from partner hospitals
AI models extract radiomic features locally
Model updates shared via blockchain
BI-RADS scoring and treatment pathways
ACR Platform Architecture: Combining AI, Blockchain, and Clinical Systems
Clinical Research & Validation
Radiomics and diagnostics for gynaecological tumours
AI-Ontology, Blockchain & Platform Engineering