Training Course in Logic for Biomedical Research

IFOMIS20-23 June 2007, Schloss Dagstuhl, Germany
This three-day training course is designed to provide a basic introduction to the field of biomedical ontology and to enhance awareness of current developments and best practices in ontology in the life sciences, focusing on logic and computational aspects. It will include a debate on the future role of OWL DL in biomedical ontology development.

Faculty

  • Barry Smith: Introduction to Terminology, Ontology, and the Philosophy of Language for Biomedical Researchers
  • Deborah McGuinness: The Future of the Semantic Web
  • Fabian Neuhaus: Introduction to Logic and Semantics for Biomedical Researchers
  • Alan Rector: Introduction to Programming with OWL and Its Problems
  • Nigam Shah: Introduction to OWL and its Alternatives for Biomedical Researchers

Attendees who might find this course worthwhile include:

  • developers and users of biomedical ontologies, terminologies and coding systems,
  • developers and users of electronic patient record systems,
  • biologists and physicians interested in the possibilities of modern ontologies.

The number of participants is restricted to about 30 to maximize possibilities for intense discussion.

Registration inquiries should be addressed to Dr. Michelle Carnell This email address is being protected from spambots. You need JavaScript enabled to view it.. All serious inquiries will be pre-registered.

This training course is organized by Barry Smith in collaboration with

  • European Network of Excellence SemanticMining,
  • NCBO - US National Center for Biomedical Ontology,
  • RIDE – A Roadmap for Interoperability of eHealth Systems,
  • ECOR – European Centre for Ontological Research,
  • ACGT – EU 'Integrated Project' Advancing Clinico-Genomic Trials on Cancer,
  • IFOMIS – Institute for Formal Ontology and Medical Information Science, Saarland University.

For further details, please visit:
http://www.ifomis.uni-saarland.de/Events/OntospringIII.html

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...