ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Research Topic : predictive genetic testing
Australian State/Territory : NSW
Socio-Economic Objective : Diagnostic methods
Clear All
Filter by Field of Research
Neural Networks, Genetic Alogrithms And Fuzzy Logic (4)
Artificial Intelligence and Image Processing (3)
Analysis Of Algorithms And Complexity (2)
Image Processing (2)
Biotechnology Not Elsewhere Classified (1)
Computation Theory and Mathematics (1)
Gene Expression (1)
Medical Genetics (1)
Pattern Recognition (1)
Filter by Socio-Economic Objective
Diagnostic methods (4)
Cancer and related disorders (3)
Preventive medicine (2)
Application packages (1)
Computer software and services not elsewhere classified (1)
Filter by Funding Provider
Australian Research Council (4)
Filter by Status
Closed (4)
Filter by Scheme
Discovery Projects (4)
Filter by Country
Australia (4)
Filter by Australian State/Territory
NSW (4)
QLD (1)
  • Researchers (4)
  • Funded Activities (4)
  • Organisations (8)
  • Funded Activity

    Discovery Projects - Grant ID: DP0773584

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Automatic detection of the circle of Willis in neuro-images using multi-scale gradient calculation and knowledge-based genetic algorithms. Stroke is the third most common cause of death and a major contributor to long term disability in Australia. The most efficient way of preventing stroke from happening is to detect related symptoms early. The group of cerebral blood vessels that closely related to strokes is the circle of Willis (CoW). We build a system that can automatically detect and quan .... Automatic detection of the circle of Willis in neuro-images using multi-scale gradient calculation and knowledge-based genetic algorithms. Stroke is the third most common cause of death and a major contributor to long term disability in Australia. The most efficient way of preventing stroke from happening is to detect related symptoms early. The group of cerebral blood vessels that closely related to strokes is the circle of Willis (CoW). We build a system that can automatically detect and quantify CoW in neuroimages, providing ways of preventing strokes from happening. The project will enhance Australia¡¯s leading position in promoting and maintaining good health, especially in preventive healthcare.
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP0877414

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's e .... Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's engagement in using advanced image analysis and intelligent methods for the emerging research and development of targeted drug discovery.
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP0559755

    Funder
    Australian Research Council
    Funding Amount
    $218,000.00
    Summary
    Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the de .... Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the determination of function, especially in disease states. Understanding the complex genetic interactions that trigger these illnesses would give great benefits in preventive health care, skin cancer and schizophrenia genetic basis, and may lay the ground for building new methods for "personalized medicine".
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP0773279

    Funder
    Australian Research Council
    Funding Amount
    $238,291.00
    Summary
    Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup .... Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup, especially in connection with disease states. The project will deal with research questions and datasets related to some of the highest incidence cancers in Australia. This project will contribute towards the development of new powerful algorithms for pattern recognition for future "personalized" molecular diagnostics methods.
    Read more Read less
    More information

    Showing 1-4 of 4 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback