Portable Genomics

BioTech/Drugs - San Diego, CA, US

Portable Genomics Employees
Emile Loria

Chairman, founder and investor

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Portable Genomics Senior Management
Emile Loria

Chairman, founder and investor

Contact Emile Loria

Contact All Portable Genomics Employees
Portable Genomics Details

Portable Genomics Inc., La Jolla, CA, was created by Patrick Merel, PhD and a group of molecular biologists from Bordeaux, France, to design a mobile software platform for the use of genome data in personalized, predictive, preventive and participative medicine applications (P4™Medicine). What makes Portable Genomics unique in the genomics space is a consumer-based approach to the visualization of genomic data. Portable Genomics platform, and IP, uses the digital music data structure to re-organise a genome data set and allows professionals and consumers to simply browse a genome in any MP3-compatible device from iPods™ to mobile phones, from iWatch™ to digital TVs. Referred as the Genomics in iTunes Company, Portable Genomics facilitates the access, the understanding and the use of complex genomic data through very simple and very well-known graphical user interfaces.Also, Portable Genomics is building a new type of platform to facilitate the aggregation of lifestyle information and health data with genomic results. Our goal is to allow our users to securely share their data through a fair trade data sharing model, to promote a discovery service for IP development, in the genotype to phenotype space.Our graphical visualization tool will be at the core of this platform, as well a secure data storage solution and a new concept for the sharing and monetization of data. We are building a next generation of personal health data silo for people to remain the owners of their data, to decide when they want to share or not to share their data, and to associate them with the revenue if their data are being monetized.

Portable Genomics logo, Portable Genomics contact details
Employees: 5 - 9
HQ: 858-405-0498
Location: San Diego, CA, US
Revenue: Not Available
wireless healthcare genomics personalized medicine medical applications big data data sharing data monetization data mining genotype to phenotype correlations fair trade data sharing b2b
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