B1449
Title: AI for organoids and organoids for AI
Authors: Brian Caffo - Johns Hopkins University (United States) [presenting]
Abstract: Unsupervised methods are discussed for studying brain organoids and functional neural systems. Particularly, we consider the important role that parsimony can play in non-parsimonious decompositions and non-linear embeddings. We consider a study of neurogenesis including in vivo, in vitro, single cell and bulk RNA sequencing. We contrast several methods for joint decompositions that share information across experiment and tissue types and contrast results in novel experiments not used in model training. We discuss the role that in vitro neural systems can play in performing AI tasks. In this, we use multi-electrode arrays (MEAs) to study functioning brain organoids. Such use of organoids for biocomputing is a nascent and exciting field that we refer to as organoid intelligence.
