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Intelligent Total Body Scanner for Early Detection of Melanoma

Project description

Advanced tools for the early detection of melanoma

In the fight against cancer, effective screening and early detection are key. Melanoma is one of the most aggressive cancers that can be detected at an early stage. It is responsible for the majority of skin growths. However, current screening methods involve checking each individual pigmented lesion for melanoma signs, which is often inefficient and time-consuming. The EU-funded iToBoS project will develop a groundbreaking AI diagnostic platform to assist in the timely detection of melanoma. The platform will consist of a cutting-edge body scanner and accompanying computer-aided diagnostic tool that will provide accurate, personalised early diagnosis of melanoma, saving lives and healthcare resources worldwide.

Objective

Melanoma is one of the most aggressive cancers that can be discovered at an early stage, and it is responsible for 60% of lethal skin neoplasia. Its incidence has been increasing in white population and could become a public health challenge because of an increase in life expectancy of the elderly population. Total body skin examination, the primary screening mechanism for melanoma, checks each pigmented skin lesion individually in search of typical melanoma signs. This can be a very time consuming technique for patients with atypical mole syndrome or a large number of naevi.

iToBoS aims at developing an AI diagnostic platform for early detection of melanoma. The platform includes a novel total body scanner and a Computer Aided Diagnostics (CAD) tool to integrate various data sources such as medical records, genomics data and in vivo imaging. This approach will lead to a highly patient-tailored, early diagnosis of melanoma. The project will develop and validate an AI cognitive assistant tool to empower healthcare practitioners, offering a risk assessment for every mole. Beyond integrating all available information about the patient to personalise the diagnostic, it will provide methods for visualising, explaining and interpreting AI models, thus overcoming the “black box” nature of current AI-enabled CAD systems, and providing dermatologists with valuable information for their clinical practice.

The new total body scanner will be based on an existing prototype developed by 3 of the project partners, but powered with high-resolution cameras equipped with liquid lenses. These novel lenses, based on two immiscible fluids of different refractive index, will allow achieving unprecedented image quality of the whole body. The integration of such images with all available patient data using machine learning will lead to a new dermoscopic diagnostic tool providing prompt, reliable and highly personalised diagnostics for optimal judgement in clinical practice.

Call for proposal

H2020-SC1-BHC-2018-2020

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Sub call

H2020-SC1-2020-Single-Stage-RTD

Coordinator

UNIVERSITAT DE GIRONA
Net EU contribution
€ 1 128 875,00
Address
PLACA SANT DOMENEC 3
17004 Girona
Spain

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Region
Este Cataluña Girona
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 1 128 875,00

Participants (21)