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27/02/2014

A Mobile app could simulate the effect of a drug in the human body to support the clinical decision

2014_0052_2014_0052_IMATGE

27/02/2014

Coinciding with the MWC, Anaxomics presented this project which leads together with VHIR

Coinciding with the Mobile World Congress in Barcelona, the Catalan Biotech "http://www.anaxomics.es/" Anaxomics presented, together with Vall d’Hebron Institute of Research (VHIR), the launching of CrossAN, a project that will use systems biology to select personalized treatments for renal cancer and to improve the prognosis of the disease, through the use of a mobile application. VHIR and Anaxomics signed recently an agreement to provide the use of systems biology techniques to research groups from Vall d’Hebron, allowing the application of this innovative approach in the usual clinical practice. The profile analysis of a patient through systems biology techniques is commonplace in world renowned hospitals, such as Memorial Sloan-Kettering Cancer Center or Mount-Sinai in New York, where it forms part of a protocol of treatment assignment for patients with certain cancers.One of the problems that doctors and researchers share is how to integrate all the apparently unconnected data from each patient, and here is where Anaxomics goes into action. Its technology, based on systems biology, allows the integration of all this data into mathematical models that simulate, in silico, the behavior of the human physiology. According to the VHIR’s director, Dr. Joan X. Comella, this type of technology “is essential to foster a better understanding of the molecular mechanisms whose alteration is the origin of different pathologies, and also to improve the personalized treatment of the patients according to their personal characteristics".Systems biology allows the integration in a single analysis of all the information of patients, including both clinical data (clinical profile, received treatments, results of routine marker analysis) and “omics” data obtained in proteomics, genomics and metabolomics studies, whose cost per patient is constantly decreasing and which many times becomes indispensable for research projects. The integration of this huge quantity of data and its later interpretation require very specific tools and knowledge.

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