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)
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
Coordination of cohort recruitment, standardised blood collection, sample aliquoting and shipment, centralised anonymised data recording and pilot device testing for safety and performance assessment.
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.
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.
Prototype development of graphene, plasmonic and ultrasensitive immunoassay sensors with associated assay chemistries and analytical characterisation.
Organisation and delivery of multidisciplinary training modules, network-wide workshops, webinars and secondments focused on diagnostics, biosensors, AI and knowledge translation.
Coordination of cohort recruitment, standardised blood collection, sample aliquoting and shipment, centralised anonymised data recording and pilot device testing for safety and performance assessment.
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.
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.
Prototype development of graphene, plasmonic and ultrasensitive immunoassay sensors with associated assay chemistries and analytical characterisation.
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
News & Updates
A virtual workshop inviting experts in brain cancer research, biosensors, artificial intelligence, healthcare, and knowledge translation.
A 3-day virtual workshop hosted by AiPBAND to discuss state-of-the-art techniques in brain cancer treatment and diagnosis, public engagement, cross-sector collaborations, and skills training.
A summary of moments from the Workshop on Knowledge Translation in Cancer Study, held virtually from July 29th to 31st, 2020.
Video summary of the AiPBAND NT-8 event.
Video from the AiPBAND NT-6 event.
The third network training event in Utrecht, focusing on innovation and entrepreneurship.
A virtual workshop inviting experts in brain cancer research, biosensors, artificial intelligence, healthcare, and knowledge translation.
A 3-day virtual workshop hosted by AiPBAND to discuss state-of-the-art techniques in brain cancer treatment and diagnosis, public engagement, cross-sector collaborations, and skills training.
A summary of moments from the Workshop on Knowledge Translation in Cancer Study, held virtually from July 29th to 31st, 2020.
Video summary of the AiPBAND NT-8 event.
Video from the AiPBAND NT-6 event.
The third network training event in Utrecht, focusing on innovation and entrepreneurship.