ephood (electronic Phenotypes & Omics On Diet)

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1 ephood (electronic Phenotypes & Omics On Diet)

2 The issue (need) utrition studies are supporting changes in lifestyle, behaviour, nutrition practices for more efficacious health promotion and prevention. Citizens are increasingly eager to follow guidelines and indications on nutrition (magazines, books, internet, media, socials etc ) Knowledge production in health, nutrition and genetic areas is expanding exponentially thanks to novel technological approaches (genomics, metabolomics, etc..) and large number of research centers involved ISSUE: A large amount of scientific data is generated from research and clinical centers, however dissemination and application is only partially available due to: extreme fragmentation of different sources lack of correlation/integration between data from different domains ( clinical, nutritional, lifestyle, genetic etc..) lack of operative standard for big data handling

3 Our proposal ephood collects individual nutritional data and dietary micro /macro nutrients and correlates them to clinical, life style, genetics, and microbioma profiles. ephood Folder (Managed by professionals) Data collection with personal data, database, algorythms, general and personalized reccomendations ephood Portal- (User direct access) Web based access to database with general indications or personal folder with personalized reccomendation The in depth analysis of macro/micro nutrient absorbed by food intake, + The correlation with clinical, genetic and lifestyle: promotes healthier behaviours & lifestyles identifies higher individual risk offers recommendations to overcome individual risk

4 E-Phood structure IPUT OUTPUT Anagraphic Profiles (Birth date / sex) Clinical Profiles utritional Profiles Life Style Profiles Genetic Profiles Microbioma Profiles Pharmacological Profiles Standard ephood Profile utritional tools: - Food Tables - Food Atlas ephood DSS Standard ephood Tool Standard ephood Output Interaction Algorithms between profiles PERSOALIZED Diet / utrition Suggestions Life Style Suggestions Drug EPIDEMIOLOGICAL (utritional and Life Style) Ageing Suggestions Pathologies Suggestions Sport Suggestions COTETS EXPORTS TRAIIG & COMMUICATIO ormalization

5 Main characteristics ephood TM is an innovative, comprehensive and versatile platform of sharing knowledge in nutraceutics and nutragenomics From the SCIETIFIC point of view From the COTET point of view From the TECHOLOGICAL point of view ephood TM will be continuously fed by international scientific communities with specific food tables and atlases, phenotypic, clinical, nutritional, dietary and genetic inputs and the algorythms correlating them ephood TM can be customized to fit different linguistic and geographic/cultural contexts, taking into consideration peculiar dietary patterns ephood TM has been developed for any internet browser as Web Platform & any portable device (smartphone, tablets,) able to interact with the Web platform.

6 Customer segments Customer Users Customer s Clients Revenue stream Hospitals & Health Centers utritionists, Physicians. Patients Fee for use ephood Folder Health service (ational and Local) EPR (Electronic Patient Register) FSE (Fascicolo Sanitario Elettronico) Citizens Fee for use Wellness, Fitness and sport centers Health professionals Centers Clients Fee for use utrition and Food companies Functional food developers Citizens Fee for use Customer Users Customer s Clients Revenue stream ephood Portal Citizens Access to general indications, personal data and personalized indications Citizens Free access Fee for app utrition and Food companies Dissemination activity Citizens Fee for use Web advisory group/agencies Advisoring activity Citizens Fee for banner

7 The market MARKET SIZE ephood is part of Global Digital Health Market, and part of the Mobile Health Market The digital health market : $55.5 billion in Expected $233.3 billion by MARKET PLAYERS I UTRITIO RELATED TO HEALTH AD WELLESS ephood Folder The mobile health market: $23 billion by ephood Portal Sources 1 Statista Pwc PRewsire 2016 Target: Health Institutions, nutritionists, health professionals A large number of heterogeneous SW and web applications available globally (only some SW offer partial correlation of nutritional and clinical data) SW fee : $500- $6000 Target: Citizens, web advisory agencies A lot of web applications available globally with heterogeneous approaches to dietary indications (only some SW offer partial correlation of nutritional and clinical data) Access fee : $10/mo - $55/mo Weigthwatchers (sector leader), 3.8 million access/mo : $20-$55/mo LACK OF ITEGRATIO BETWEE CLIICAL, UTRITIOAL and GEOMIC DATA

8 Activities already done DOE OGOIG 2016 Data collection from clinical /nutrigenomics cohorts ( ) Development of ephood prototype within a EU funded FP7 program (June 2014-March 2015) Agreement with Medas (a Health ICT company ) for reengineering the ICT platform (May 2015) Signed contract for ephood access with Translational Medicine Department of Sidra Medical and Research Center in Qatar (September 2015). Release of the first module of ephood Folder for commercial application (October 2015) egotiation with several Italian Regions for integration of ephood with Regional Electronic Health Record egotiation with several Research Institutes in Italy and in Gulf Countries to extend/customize ephood access Arabization of ephood Folder and apps with local food (atlas and tables) ephood Trademark deposition (October 2015) Release of the ephood Folder app (March 2016)

9 Development plan Activities Geographical areas Step 1 Step 2 Step 3 ephood Portal : Development and activation ephood Folder: Further development with : several predictive algorhytms Local food atlas&tables 2 areas : Italy, Qatar ephood Portal : Increase of contents ephood Folder: Further development with : Increase of contents several predictive algorhytms Local food atlas&tables 2 areas : UK, Arab Countries ephood Portal : Development&activation Increase of contents ephood Folder: Further development with : Increase of contents several predictive algorhytms Local food atlas&tables 9 areas : USA-Canada, France, Germany, Spain, Russia, India, China, Brazil, Latin America Time 1 year 1 year 3 years Language 3 languages: English, Italian, Arabic 3 languages: English, Italian, Arabic 7 languages: French, Spanish, Russian, German, Hindi, Chinese, Portuguese We are looking for Expertise in: Web marketing Local market sales force Expertise in: Web marketing Local market sales force Local content providers Expertise in: Web marketing Local market sales force Local content providers

10 The team etwork of innovation driven SMEs operating in Life Science E-Health ICT company

11 Contact Sanipedia srl OpenZone Via Ariosto Bresso MI Italy Tel: Headquarter Cell Lab Gene Lab

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