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AI-POWERED PREDICTION OF CANCER THERAPY RESPONSE USING ULTRASOUND SHEAR WAVE ELASTOGRAPHY

Objective

PROGNOS-AI aims to revolutionize cancer therapy selection by introducing an AI-driven platform that predicts patient response before treatment begins, using the mechanical properties of tumors as a novel prognostic biomarker. Despite major advances in oncology, up to 60 % of patients still receive ineffective therapies due to the biological and mechanical heterogeneity of tumors. Tumor stiffness—measurable non-invasively through Shear Wave Elastography (SWE)—has emerged as a powerful indicator of therapeutic outcome. Building on AnaBioSi-Data’s pre-clinical discoveries (> 1,300 tumor datasets, > 88 % accuracy), PROGNOS-AI transforms these findings into a clinically validated decision-support tool.

The project combines SWE imaging, advanced deep-learning algorithms, and explainable-AI modules to quantify tumor stiffness maps and forecast therapy response. A multi-centre validation involving the German Oncology Center (CY), University of Crete (GR) and Kliniken Essen-Mitte (DE) will enrol 400 breast-cancer pat

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Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-CSA - HORIZON Coordination and Support Actions

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Call for proposal

(opens in new window) HORIZON-WIDERA-2025-02

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Coordinator

AnaBioSi-Data Ltd
Net EU contribution
€ 328 125,00
Address
Mesologgiou 2C
2007 Nicosia
Cyprus
SME
Yes
Region
Κύπρος Κύπρος Κύπρος
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
No data