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Multi-agent Systems in Medicine

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System for Semantic Search in Medicine. Management of Organ Transplants ... Ontology part is implemented with DAML OIL language and OilEd editor is used partly. ... – PowerPoint PPT presentation

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Title: Multi-agent Systems in Medicine


1
Multi-agent Systems in Medicine
  • Štepán Urban

2
Content
  • Introduction to Multi-agent Systems (MAS)
  • What is an Agent?
  • Architecture of Agent
  • MAS Platforms
  • MAS in Medicine
  • System for Semantic Search in Medicine
  • Management of Organ Transplants
  • Simulation of Mitochondrial Metabolism using
    Multi-agents System

3
What is an Agent?
  • An agent 1 is an encapsulated computational
    (or physical, even human) system, that is
    situated in some environment, and that is capable
    of flexible, autonomous behaviour in order to
    meet its design objective.

4
Architecture of an Agent
5
MAS Platforms
6
MAS Platforms
  • JADE - Java Agent DEvelopment Framework

7
MAS Platforms
  • A-Globe

8
Agent System for Semantic Search in Medicine
  • An Example of a Query given by a User

9
OnSSA (Ontology-based Semantic Search Agent)
  • An ontology-based information retrieval agent
    system in medicine through bio-related literature
    database MEDLINE
  • Automates systematic retrieval of literature in
    medicine by utilizing the Semantic Web languages.
  • Ontology part is implemented with DAMLOIL
    language and OilEd editor is used partly.
  • The abstracts, author, title, journal, and date
    information of document are extracted into XML
    -based input file in order to evaluate the
    relevancy of documents to a query given. In
    addition to the Semantic Web languages, the rest
    of implementation is done in Java.

10
OnSSA System Overview
11
Biomedical Ontology and Search Engines
12
The Process of Information Retrieval
13
Management of Organ Transplants
  • Multi-agent system to help to manage the process
    of organ transplants within Spain.
  • Agents
  • Emergency Coordinator (EC), which is the national
    coordinator of the 0-emergency cases. This is the
    name given to those patients that are waiting for
    an organ and have reached a very critical
    condition, in which their life is at high risk if
    the transplant is not performed in a very short
    period of time.
  • Historical Agent (HA), which receives the data of
    all transplants made in Spain. With this
    information it can keep historical files,
    elaborate statistics, apply data mining
    techniques in order to gain useful knowledge,
    etc.

14
Steps in the Search for an Appropriate Recipient.
15
Simulation of Mitochondrial Metabolism using
Multi-agents System
  • Metabolic pathways describe chains of enzymatic
    reactions.Their modelling is a key point to
    understand living systems. An enzymatic reaction
    is an interaction between one or several
    metabolites (substrates) and an enzyme (simple
    protein or enzymatic complex build of several
    subunits)
  • Many ordinary differential equation models are
    available in the literature.They well fit
    experimental results on flux values inside the
    metabolic pathways, but many parameters are
    difficult to transcribe with suchmodels
    localization of enzymes, rules about the
    reactions scheduler, etcMoreover, a model of a
    significant part of mitochondrial metabolism
    could become very complex and contain more than
    50 equations.
  • In this context, the multi-agents systems appear
    as an alternative to model the metabolic
    pathways.

16
Mitochondria
17
Potentials Deformations Applied to a Simple
Molecule
18
Simulation of Mitochondrial Metabolism using
Multi-agents System
  • A abstracted 3D structure.
  • B application to a phospholipid.

19
References
  • 1 Definition of an agent by Prof. Michael
    Wooldridge.
  • JADE Java Agent Development Framework.
    http//jade.tilab.com
  • A-Globe A-Globe Agent Platform.
    http//agents.felk.cvut.cz/aglobe
  • Jung-Jin Yang, An Ontology-Based Intelligent
    Agent System for Semantic Search in Medicine
  • Antonio Moreno, Medical Applications of
    Multi-Agent Systems
  • Charles Lales, Nicolas Parisey, Jean-Pierre Mazat
    and Marie Beurton-Aimar
  • Mitochondria from http//universe-review.ca/
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