AiPBAND
AiPBAND is dedicated to developing an integrated platform for brain cancer diagnosis, focusing on early detection of brain tumors using molecular biomarkers in blood. The project aims to train early-stage researchers in innovative diagnostic techniques, biosensors, artificial intelligence, and healthcare, with a strong emphasis on multidisciplinary collaboration, technological advancement, and sustainable business models.
Industries
Nr. of Employees
small (1-50)
AiPBAND
Lynmouth, Devon, United Kingdom, Europe
Products
Prototype cloud-based diagnostic platform
A cloud-deployed modular diagnostic infrastructure that integrates a data warehouse, prediction services and user interfaces to deliver diagnostic results from integrated sensor and omics data.
Big Sensing intelligent data warehouse
A NoSQL-based data warehouse design capable of storing and processing heterogeneous sensor and omics data for translation and clinical diagnostic studies.
Multiplex biosensor prototypes (graphene, plasmonic, digital immunoassay)
Prototype sensor devices using multiple detection modalities intended for inclusion in an integrated diagnostic system for brain tumour biomarkers.
Prototype cloud-based diagnostic platform
A cloud-deployed modular diagnostic infrastructure that integrates a data warehouse, prediction services and user interfaces to deliver diagnostic results from integrated sensor and omics data.
Big Sensing intelligent data warehouse
A NoSQL-based data warehouse design capable of storing and processing heterogeneous sensor and omics data for translation and clinical diagnostic studies.
Multiplex biosensor prototypes (graphene, plasmonic, digital immunoassay)
Prototype sensor devices using multiple detection modalities intended for inclusion in an integrated diagnostic system for brain tumour biomarkers.
Services
Clinical validation study management
Coordination of cohort recruitment, standardised blood collection, sample aliquoting and shipment, centralised anonymised data recording and pilot device testing for safety and performance assessment.
Big-data infrastructure and data management services
Design and implementation of a NoSQL-based data warehouse and high-performance data management pipelines to integrate sensor, omics and clinical data and support real-time analytics.
Machine learning and synthetic data generation
Development of ML/DL models for biomarker discovery and prediction; generation of synthetic health data using GANs to support model training and platform development while mitigating privacy risks.
Biosensor prototyping and analytical assay development
Prototype development of graphene, plasmonic and ultrasensitive immunoassay sensors with associated assay chemistries and analytical characterisation.
Training events and cross-sector workshops
Organisation and delivery of multidisciplinary training modules, network-wide workshops, webinars and secondments focused on diagnostics, biosensors, AI and knowledge translation.
Clinical validation study management
Coordination of cohort recruitment, standardised blood collection, sample aliquoting and shipment, centralised anonymised data recording and pilot device testing for safety and performance assessment.
Big-data infrastructure and data management services
Design and implementation of a NoSQL-based data warehouse and high-performance data management pipelines to integrate sensor, omics and clinical data and support real-time analytics.
Machine learning and synthetic data generation
Development of ML/DL models for biomarker discovery and prediction; generation of synthetic health data using GANs to support model training and platform development while mitigating privacy risks.
Biosensor prototyping and analytical assay development
Prototype development of graphene, plasmonic and ultrasensitive immunoassay sensors with associated assay chemistries and analytical characterisation.
Training events and cross-sector workshops
Organisation and delivery of multidisciplinary training modules, network-wide workshops, webinars and secondments focused on diagnostics, biosensors, AI and knowledge translation.
Expertise Areas
- Blood-based biomarker discovery (liquid biopsy)
- Biosensor development and microfluidic integration
- Proteomics and single-cell molecular profiling
- Clinical validation and cohort study execution
Key Technologies
- Graphene-based field-effect sensing
- Plasmonic biosensing
- Digital ELISA / ultrasensitive immunoassays
- Microfluidics