This webinar presents several applications of artificial intelligence, with a particular focus on machine learning techniques applied to the study of cancer, COVID-19 and other biomedical conditions. These efforts stem from research projects conducted in Argentina and through international collaborations. We will illustrate analyses of gene expression profiles across different cancer types using clustering algorithms, as well as the identification of potential markers and relevant determinants through classification models. In the latter case, predictive models are trained and evaluated to assess their ability to anticipate various states or features associated with these conditions.

This webinar is part of the “Applications of artificial intelligence for biosciences in Latin America” webinar series, organised as part of the BiotrAIn project, a collaboration between University of Costa Rica,  CABANAnet and EMBL-EBI, funded by the Chan Zuckerberg initiative.  

This webinar is delivered in English. Synchronised captions are provided in both English and Spanish. The Spanish translation has been automatically generated and is currently under review. 

Who is this course for?

This webinar series is intended for students, researchers, and professionals in biological sciences who are interested in leveraging artificial intelligence and machine learning approaches for bioscience. It will be of particular interest to participants based in Argentina, as well as to those interested in engaging or collaborating with that community.

Outcomes

By the end of this webinar, you will be able to:

• Identify the objectives, phases, and scope of the BiotrAIn project, and describe how it promotes capacity building in artificial intelligence applied to life sciences in Latin America, together with the creation of an active regional community.
• Recognise how AI and machine learning are applied to biosciences and medical research in Latin America, with specific experiences from Costa Rica, Argentina, and Mexico.
• Identify strategies to analyze non-communicable disease data, such as cancer, using machine learning classification and clustering algorithms for gene expression data and biomarker discovery. 

DOI: 10.6019/TOL.ai-bioscience-argentina-biotrain-w.2025.00001.1

This webinar was recorded on  11 November 2025. Please click the 'Watch video' button to view the recording.