Graph-based machine learning for artificial brain perfusion experiments

A system comprising:

• one or more computers;
• and
• one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
• obtaining, for each of a plurality of mammalian brains, respective multi-modal experimental data that characterizes the mammalian brain and that is derived from a respective experiment involving:
• (i) artificially perfusing the mammalian brain by an electromechanical perfusion device, and
• (ii) obtaining multi-modal data that characterizes a state of the mammalian brain during or after the artificial perfusion of the mammalian brain by the electromechanical perfusion device;
• generating a knowledge graph that jointly represents the multi-modal experimental data characterizing the plurality of mammalian brains, wherein:
• the knowledge graph comprises a set of nodes and a set of edges;
• the set of nodes comprises a plurality of nodes that each represent elements of the multi-modal experimental data;
• and
• each edge connects a respective pair of nodes and represents a relationship between the respective pair of nodes;
• receiving a query from a user;
• and
• generating a response to the query based at least in part on the knowledge graph.

One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• obtaining, for each of a plurality of mammalian brains, respective multi-modal experimental data that characterizes the mammalian brain and that is derived from a respective experiment involving:
• (i) artificially perfusing the mammalian brain by an electromechanical perfusion device, and
• (ii) obtaining multi-modal data that characterizes a state of the mammalian brain during or after the artificial perfusion of the mammalian brain by the electromechanical perfusion device;
• generating a knowledge graph that jointly represents the multi-modal experimental data characterizing the plurality of mammalian brains, wherein:
• the knowledge graph comprises a set of nodes and a set of edges;
• the set of nodes comprises a plurality of nodes that each represent elements of the multi-modal experimental data;
• and
• each edge connects a respective pair of nodes and represents a relationship between the respective pair of nodes;
• receiving a query from a user;
• and
• generating a response to the query based at least in part on the knowledge graph.