Last April 12, 2021 Ignacio Hidalgo presented the paper Title: Project (GenObIA-CM): Design, using artificial intelligence, of predictive algorithms for the identification of individuals at risk of developing overweight/obesity and its associated pathologies: Contribution of genetic analysis. S2017/BMD-3773.
The main scientific objectives of GenObIA-CM are: (i) Creation of a predictive algorithm of the risk of suffering overweight/obesity through artificial intelligence technology (Machine Learning), based on sociodemographic, environmental and behavioral data of individuals. (ii) Creation of a predictive algorithm of the risk of suffering comorbidities associated with obesity/overweight, through artificial intelligence technology (Machine Learning), based on sociodemographic, environmental and behavioral data of individuals and the presence/absence of comorbidities. (iii) To analyze through Machine Learning the contribution that the genetic analysis of polymorphisms related to nutrigenetics and polymorphisms related to physical activity capacity can have on the specificity and sensitivity of the predictive algorithms of obesity/overweight and the risk of associated comorbidities.
More information (genobia.es)
You can find the video of the presentation in the ITC Youtube Channel