Parque Científico Universidad de Valencia, Catedrático Agustin Escardino, 9, 46980, Paterna, Valencia
info@sabartech.com
AIG is a software developed to characterise the genotype-phenotype relationship by integrating advanced data mining tools and machine learning algorithms. This software analyses more than 700,000 genetic variants that influence individual metabolic diversity and predisposition to different physiological and pathophysiological conditions and evaluates their penetrance, thus optimising their application in prevention and early detection of diseases. AIG brings a high degree of innovation in both automated interpretation and multiscale integration modelling, which includes clinical, genetic and lifestyle data to provide personalised results with a precision medicine approach.
CLOM is a health software for in vitro diagnostics whose objective is to characterise the microbial species present at the time of the test in the intestine and classify them into profiles with clinical actionability. Sabartech carries out the design and development of the in vitro health software, taking into account the specific requirements for the programming of the software code.
AIGM comes from the combination of the AIG and CLOM softwares whose objective is the integration of genetics together with the analysis of intestinal microbiota, using the paralysis of the aforementioned health softwares for in vitro diagnostics. In this way, a single procedure is available for the execution of both softwares, obtaining a combined report as a result.
Parque Científico Universidad de Valencia, Catedrático Agustin Escardino, 9, 46980, Paterna, Valencia
info@sabartech.com
EXPEDIENT Nº: IDI-20230068
PROGRAM: ACCIÓN CONJUNTA ISCIII-CDTi 2022 del CDTi
PROJECT: PREDICTION OF IMPAIRED LOWER-EXTREMITY FUNCTION BY GENOME AND MICROBIOME ANALYSIS
OBJETIVES: Improve early detection, diagnosis, treatment and follow-up of ILEF by developing an omics technology for risk prediction.
RESULTS ACHIEVED: Omics technology for predicting the risk of developing ILEF, which makes it possible to identify high-risk older adults, and to propose interventions to delay or prevent ILEF.
THIS PROJECT HAS BEEN FINANCED WITH EUROPEAN UNION FUNDS – NextGenerationEU, UNDER THE RECOVERY AND RESILIENCE MECHANISM ESTABLISHED BY REGULATION (EU) 2021/241 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL OF 12 FEBRUARY 2021.
EXPEDIENT Nº: IMIDTA/2023/43.
PROGRAM: SME R&D PROJECTS (PIDI-CV) 2023
PROJECT: AIG-SPORT – THE NEXT GENERATION OF SPORT PERFORMANCE (AIG-SPORT)
OBJECTIVES: The generation of a new model of 5P SPORTS TECHNOLOGY to revolutionise professional and amateur sport.
RESULTS ACHIEVED: A software focused on sports performance called AIG-SPORT that aims to bring science closer to athletes through guidelines for the improvement of sports performance, athletes’ brands, the prevention of injuries related to exercise and training, the personalisation of food and supplementation plans in a much more precise way.
THIS PROJECT IS SUPPORTED BY THE EUROPEAN UNION AS IT HAS BEEN SELECTED IN THE FEDER OPERATIONAL PROGRAMME FOR THE VALENCIAN COMMUNITY 2021-2027.
Expedient Nº: INNEST/2021/292
Project: INTELLIGENT PLATFORM FOR EARLY DETECTION, DIAGNOSIS AND MONITORING OF SARCOPENIA (iSARC-GENETICS)
Supported by Agència Valenciana de la Innovació (AVI)
