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DTSTAMP:20260707T114910Z
UID:c14ffc71-faad-4b0d-a146-959727392bc4
DTSTART:20251118T090000Z
DTEND:20251118T170000Z
DESCRIPTION:Microbiomes are complex ecosystems whose composition and dynami
 cs shape the health of organisms and environments. Recent advances in arti
 ficial intelligence (AI) and machine learning have transformed our ability
  to interpret these communities from massive sequencing data. This webinar
  will explore how AI-driven models\, ranging from statistical learning and
  neural networks to graph and language models\, are being used to classify
  microbial communities\, predict metabolic potential\, and discover novel 
 functions. We will discuss examples from metagenomic and metabolomic datas
 ets that illustrate how AI can help us move from descriptive to predictive
  microbiome science\, revealing hidden ecological and biochemical patterns
  across diverse habitats.  \n  \nThis webinar is part of the [“Applicati
 ons of artificial intelligence for biosciences in Latin America”](https:
 //www.ebi.ac.uk/training/events/applications-artificial-intelligence-biosc
 iences-latin-america/) webinar series\, organised as part of the [BiotrAI
 n project](https://www.ebi.ac.uk/training/our-partnerships/biotrain)\, a c
 ollaboration between [University of Costa Rica](https://www.ucr.ac.cr/)\,
   [CABANAnet](https://cabana.network/) and EMBL-EBI\, funded by the Chan 
 Zuckerberg initiative.    \n  \nThis webinar is delivered in Spanish. Sy
 nchronised captions are provided in both Spanish and English. The English 
 translation has been automatically generated and is currently under review
 .
LOCATION:\, 
SUMMARY:Artificial intelligence for exploring and understanding microbiomes
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/artificial-intelligence
 -exploring-and-understanding-microbiomes
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