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Accurate quantification of neurologic disease over time

Project description

Smarter neuroimaging diagnosis

When it comes to rapidly progressing diseases such as brain tumours, radiology-based diagnosis plays a critical role. However, current methods often underutilise medical imaging information and lead to late detection of disease, limited treatment effectiveness and poor patient outcomes. The ERC-funded CHRONOS project is introducing a new diagnostic paradigm using AI to uncover and visualise hidden information in neuroimaging data. This software can detect subtle brain changes months before conventional methods, paving the way for smart and timely clinical decisions. The system has already been tested and validated in the clinic. CHRONOS will establish a spinout company for commercial deployment of the technology.

Objective

A research discovery has little relevance if it never makes an impact on its target users. A key challenge for radiology is that very few diagnostic innovations end up changing clinical practice. Most clinical decision-making processes follow the same hypothesis-driven approach where the association between a biomarker and disease status are assessed by trial-and-error. By forcing the patients’ data into traditional paradigms, we are inherently making poor use of the available information. Moreover, a new drug or change in treatment have little impact if the intervention is initiated at a late stage. For a patient with short life expectancy, this scenario is unacceptable. A new diagnostic paradigm is needed to catch disease status before it becomes symptomatic.

Based on the work of an ERC Starting Grant, we introduce a new paradigm for clinical neuroimaging, coined synthetic biomaps, where artificial intelligence brings to life hidden information stored in diagnostic images. As an intelligent decision-support system, CHRONOS is a fully developed software prototype that enhance classical image analyses with synthetic biomaps to produce smarter and better diagnoses of disease. We showcase how a growing brain tumor change the entire architecture of the brain more than six months before these changes are observed by traditional means. This innovative step will allow the treating physician to make the correct clinical decisions at an unprecedented and early timepoint. We have integrated our invention in a hospital-approved digital framework that allows our clinical experts to validate the technology and demonstrate its clinical value.

Our initial market analysis and a favorable search report show that a substantial commercial value can be realized by positioning CHRONOS at the center of a wider strategy of a new company to introduce sibling AI-imaging solutions. Τhis project aims to set the stage for an investor ready spinout company based on the CHRONOS technology.

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Topic(s)

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Funding Scheme

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

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(opens in new window) ERC-2024-POC

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Host institution

OSLO UNIVERSITETSSYKEHUS HF
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
KIRKEVEIEN 166 TARNBYGGET
0450 OSLO
Norway

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Region
Norge Oslo og Viken Oslo
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Beneficiaries (1)

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