On Tuesday, January 28, CITIC held a new TIC Talk Breakfast, a meeting space where the latest advances in computational technologies applied to biology and medicine were shared. During the event, two experts in the field of computational biology presented their research on cancer studies and the prediction of the effects of mutations in plants, using artificial intelligence and computational methods.

Samuel Martín Revuelta opened the day with a presentation focused on cancer studies through computational analysis, detailing the methodologies used to select genes associated with tumor resistance to pharmacological treatments. Using transcriptomic data, Martín Revuelta explained how key genes can be identified to improve cancer treatments, facilitating the development of more effective new therapies.

Next, Eva Pardo Otero spoke about advances in the use of computational methods to predict the effects of mutations in plants. The researcher highlighted the limitations of current approaches to predict these effects, despite their impact on adaptations to the natural environment. In her presentation, she also emphasized the importance of developing plant-specific techniques that leverage the best methodologies for predicting harmful mutations, with the aim of improving their resistance to environmental changes.