Project cooperationUpdated on 27 January 2026
CortexView Imaging Intelligence™ – AI-Enhanced Acquisition and Diagnosis
Head of Research and Innovation at Nowocert
Dublin, Ireland
About
CortexView Imaging Intelligence™ – AI-Enhanced Acquisition and Diagnosis
CortexView Imaging Intelligence™ enhances brain and multi-modal imaging from scan setup to final report by guiding protocol selection, enhancing image clarity, and ensuring consistent measurements. It helps technologists capture reliable scans with fewer repeats through real-time quality checks during acquisition, then supports radiologists with clear overlays and structured measurements that are easy to verify. The platform seamlessly integrates into radiology workflows, enabling teams to transition from acquisition to diagnosis more efficiently, with consistent performance across scanners and sites.
Key features include:
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Smart acquisition guidance: Protocol recommendations and real-time quality checks to reduce repeats and standardize scans.
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Clearer images with efficient reconstruction: Improved clarity and reduced noise to support faster scans while preserving diagnostic value.
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Evidence-based clinical analytics: Readable overlays, measurements, and structured report drafts designed to work smoothly with PACS workflows.
Topic
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
- HORIZON-MISS-2026-02-CANCER-04: Earlier and more precise palliative care
- HORIZON-MISS-2026-02-CANCER-05: Boosting mental health of young cancer survivors through the European Cancer Patient Digital Centre (ECPDC)
- HORIZON-MISS-2026-02-CANCER-06: Development of a research capacity building programme on cancer with and for Ukraine
- HORIZON-MISS-2026-02-CANCER-07: Improve the Quality of Life of older cancer patients
Organisation
Similar opportunities
Project cooperation
PanGI Landmark Graph™ – Whole-Tract Capsule Intelligence
- Offering Expertise to Consortias
- HORIZON-MISS-2026-02-CANCER-04: Earlier and more precise palliative care
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
- HORIZON-MISS-2026-02-CANCER-07: Improve the Quality of Life of older cancer patients
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-06: Development of a research capacity building programme on cancer with and for Ukraine
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
- HORIZON-MISS-2026-02-CANCER-05: Boosting mental health of young cancer survivors through the European Cancer Patient Digital Centre (ECPDC)
Miadreza Shafiekhah
Head of Research and Innovation at Nowocert
Dublin, Ireland
Project cooperation
OncoTwin 2030: AI‑Driven Digital Twin Platform for Oncology Decision Support
- Completing the consortia
- Offering Expertise to Consortias
- Design - setting the project scope
- HORIZON-MISS-2026-02-CANCER-04: Earlier and more precise palliative care
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
- HORIZON-MISS-2026-02-CANCER-07: Improve the Quality of Life of older cancer patients
- HORIZON-MISS-2026-02-CANCER-02: Microbiome for early cancer prediction before the onset of disease
- HORIZON-MISS-2026-02-CANCER-06: Development of a research capacity building programme on cancer with and for Ukraine
- HORIZON-MISS-2026-02-CANCER-03: Pragmatic clinical trials to optimise immunotherapeutic interventions for patients with refractory cancers
- HORIZON-MISS-2026-02-CANCER-05: Boosting mental health of young cancer survivors through the European Cancer Patient Digital Centre (ECPDC)
Dani Ortiz
representador legal at TORMENTA‑IA3, SL
Madrid, Spain
Project cooperation
Time-resolved imaging and sensing for realistic tumour and patient twins
- HORIZON-MISS-2026-02-CANCER-01: Virtual Human Twin (VHT) Models for Cancer Research
Sofia Parsadanyan
Business Development at Ararat Quantum Solutions
Yerevan, Armenia