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AI-CARE

Financiado

Thermography AI - cornerstone in future preventive healthCARE

It is estimated that more than 230M people worldwide suffer from Peripheral Arterial Disease (PAD) and each year more than 22M of them develop Critical Limb Ischemia - a life-threatening condition with 50% combined incidence of am... ver más

29/02/2024

KELVIN HEALTH JSC

75K€

Presupuesto del proyecto: 75K€

Líder del proyecto

KELVIN HELT AD No se ha especificado una descripción o un objeto social para esta compañía.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-02-29

HORIZON-EIE-2022-SCALEUP-02-02: Women TechEU ExpectedOutcome:Project results are expected to contribute to the following expected outcomes:

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KELVIN HEALTH JSC

75.00K€ | Lider

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Duración del proyecto: 8 meses Fecha Inicio: 2023-06-02
Fecha Fin: 2024-02-29

Líder del proyecto

KELVIN HELT AD No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 75K€

Descripción del proyecto It is estimated that more than 230M people worldwide suffer from Peripheral Arterial Disease (PAD) and each year more than 22M of them develop Critical Limb Ischemia - a life-threatening condition with 50% combined incidence of amputation and/or death in a 3-year period. Timely PAD diagnosis is the most important factor to avoid complications by treatment procedures (revascularization) and proper disease management (daily walks, change of dietary habits, etc.). Unfortunately, half of the PAD-suffering population is asymptomatic and therefore lately diagnosed. Recent technology advancements in Thermography (portable, high-resolution and precise hardware) and Artificial Intelligence (scalable infrastructure and highly accurate computer vision analysis) can support much needed progress towards continuous and preventive and value-based healthcare. Kelvin Health develops a clinical decision support system based on Thermography AI for non-invasive, cost-efficient population-wide screening and diagnosis, initially addressing pathology related to PAD - blockage or narrowing of limbs’ blood vessels. The system applies a portable thermal imaging camera that captures body thermodynamics and generates a series of thermograms, which are then thermally segmented, and analyzed temporarily using AI image recognition algorithms. The ML model is trained to detect anomalies related to the vascular system using state-of-the-art machine learning algorithms such as deep neural networks and, in particular convolutional neural networks. AI-CARE proposal aims at addressing the challenges we meet to structure clear regulatory pathway for market approval at initial target markets, design a clinical validation study and assess the patentability of our method. At the same time promoting women entrepreneurship, especially in deep tech healthcare where women are highly underrepresented. Successful project implementation will lead to Kelvin Health's success in R&D capital fundraising.

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