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SACCSCAN-IA-ML SIGNED

Developing Machine Learning Classifier Models for Eye Movements to Diagnose Major Psychiatric Disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SACCSCAN-IA-ML project word cloud

Explore the words cloud of the SACCSCAN-IA-ML project. It provides you a very rough idea of what is the project "SACCSCAN-IA-ML" about.

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Project "SACCSCAN-IA-ML" data sheet

The following table provides information about the project.

Coordinator
SACCADE DIAGNOSTICS LIMITED 

Organization address
address: 2 LISTER SQUARE
city: EDINBURGH
postcode: EH3 9GL
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.saccade-diagnostics.com
 Total cost 121˙250 €
 EC max contribution 121˙250 € (100%)
 Programme 1. H2020-EU.2.3.2.2. (Enhancing the innovation capacity of SMEs)
 Code Call H2020-INNOSUP-02-2016
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-09-29   to  2018-09-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SACCADE DIAGNOSTICS LIMITED UK (EDINBURGH) coordinator 121˙250.00

Map

 Project objective

1 in 5 of us are affected by mental illness during our lifetime. It is the largest cause of disability worldwide costing the global economy a staggering US$2.5 trillion per annum and rising to US$6 trillion per annum by 2030. Although illness specific treatments are available, doctors are struggling to provide accurate and timely diagnosis with misdiagnosis occurring more than half the time. Currently, when patients’ history, symptoms and behaviour don’t meet the criteria set out in the diagnostic manual, it may take up to 10 years to diagnose the illness. And unlike in other branches of medicine there are no objective tests in psychiatry to aid the diagnostic process. SaccScan is a novel point-of-care (PoC) software diagnostic system which has been demonstrated to detect schizophrenia with better than 95% accuracy and can be extended with the same precision to other major psychiatric conditions. The software diagnostic tool successfully utilises eye-movement abnormalities as clinical diagnostic biomarkers for serious mental illnesses. The test can be performed within 30 minutes in a standard consulting room environment and results produced over the internet at near realtime speed. Early economic modelling showed that introducing SaccScan into health care services could produce savings of €33 474 per patient in the case of suspected schizophrenia. The purpose of this SME Innovation Associate application is to identify a post-doctoral talent from across the EU to help develop next generation models within the SaccScan diagnostic system in order to increase the clinical utilities of the test by the identification and implementation of new eye movement biomarkers which in turn will extend the test to other illness categories.

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The information about "SACCSCAN-IA-ML" are provided by the European Opendata Portal: CORDIS opendata.

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