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KiD A low cost KInematic Detector to assist early diagnosis and objective profi...

KiD A low cost KInematic Detector to assist early diagnosis and objective profiling of ASD Autism spectrum disorders (ASDs) are a heterogeneous set of neurodevelopmental disorders characterized by deficits in social communication and reciprocal interactions, as well as stereotypic behaviours. Although early diagnosis f... ver más

31/12/2019

IIT

148K€

Presupuesto del proyecto: 148K€

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2017-PoC: ERC-Proof of Concept

I+D

Cerrada hace 7 años

0% 100% 100%

2 Participantes

IIT

148.41K€ | Lider

GENMEDICA

300.00K€ | Participante

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Últimas noticias

02-12-2024: AGENCIA-VALENCIANA-D... En las últimas 48 horas el Organismo AGENCIA VALENCIANA D... ha otorgado 1 concesiones

02-12-2024: CDTI En las últimas 48 horas el Organismo CDTI ha otorgado 4 concesiones

01-12-2024: REDES En las últimas 48 horas el Organismo REDES ha otorgado 1337 concesiones

Duración del proyecto: 19 meses Fecha Inicio: 2018-05-25
Fecha Fin: 2019-12-31

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA

TRL 4-5

Presupuesto del proyecto 148K€

Descripción del proyecto Autism spectrum disorders (ASDs) are a heterogeneous set of neurodevelopmental disorders characterized by deficits in social communication and reciprocal interactions, as well as stereotypic behaviours. Although early diagnosis followed by appropriate intervention appears to offer the best chance for significant health improvement and economic gain, diagnosis of autism remains complex and often difficult to obtain. Recent identification of atypical kinematic patterns in children and infants at increased risk for ASDs provides new insights into autism diagnostic and objective profiling. KiD intends to help move these insights into the development of a low cost, easy-to-use, yet reliable wearable tracking system, designed to assist detection and classification of ASDs. The novelty of KiD is to combine informed development of machine learning methods to classify kinematic data with a co-design human factor engineering. KiD holds great potential for translational possibilities into autism clinical practice. The main use of the device will be to assist clinicians to achieve expedited diagnosis, ensuring early and timely access of children at risk of autism to evidence-based intervention programs. Another use will be to examine the quantitative nature of autistic traits, enabling new forms of precision-phenotyping, which is potentially useful for stratifying patients with ASD and developing individualized treatment approaches.

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