Explore the words cloud of the PrevictDrugs project. It provides you a very rough idea of what is the project "PrevictDrugs" about.
The following table provides information about the project.
Coordinator |
KONTIGO CARE AB
Organization address contact info |
Coordinator Country | Sweden [SE] |
Total cost | 71˙429 € |
EC max contribution | 50˙000 € (70%) |
Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
Code Call | H2020-SMEInst-2018-2020-1 |
Funding Scheme | SME-1 |
Starting year | 2019 |
Duration (year-month-day) | from 2019-09-01 to 2020-02-29 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | KONTIGO CARE AB | SE (UPPSALA) | coordinator | 50˙000.00 |
Drug addiction is a global problem; nearly 30 million illicit drug users worldwide suffer from problematic drug use. Kontigo Care AB is developing an innovative medical device – Previct Drugs - a robust, app-based, eHealth-platform for place unbound, continuous, voluntary, self-monitoring of drug use. It will constitute an add-on to Kontigo Care’s current eHealth offer developed for management of other addictive disorders (alcohol abuse and hazard gambling). Using smartphone cameras, patients suffering from drug addiction, will be identified, and asked to record a 10 s long video of their eyes. Analysis of eye biomarkers associated with pharmacodynamically induced pupil reactions (pupillometry) will yield instant results on drug use/sobriety. Our unique, disruptive Internet of Thing (IoT)-based approach is designed to combine continuous monitoring of drug use and daily mood/cravings, with communication tools aimed at improving the impact of distance care. Real-time results become instantly available to caregivers through our cloud-based Care Portal, allowing fast interventions and correct patient prioritisation. This eHealth solution will drive healthcare digitalisation resulting in extreme cost-efficiency of out-patient treatments as well as convenience and complete privacy during drug screenings. A sophisticated AI-system will assess personal risks of relapse and transform addiction management to become proactive instead of reactive. This approach has the potential to enhance personalised therapy outcomes by ensuring that help can be provided fast to the patients who need it the most. The project objective is to prepare for commercialisation of the Previct Drugs module by determining the most efficient routes for gaining clinical and market acceptance by validating the product in clinical settings.
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The information about "PREVICTDRUGS" are provided by the European Opendata Portal: CORDIS opendata.
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