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Grand challenges in biomedical computing.

J A Board1

  • 1Department of Electrical Engineering, Duke University, Durham, North Carolina.

Critical Reviews in Biomedical Engineering
|January 11, 1992
PubMed
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Advances in computing technology are making sophisticated biomedical modeling routine. This enables researchers to use powerful computing for complex data visualization and problem-solving.

Area of Science:

  • Biomedical Computing
  • Computational Biology
  • Health Informatics

Background:

  • Computing technology, including algorithms and hardware, is rapidly advancing.
  • Biomedical applications are increasingly leveraging high-performance computing resources.
  • Sophisticated computer modeling is becoming a standard tool in biomedical research.

Purpose of the Study:

  • To summarize the current state of biomedical computing.
  • To highlight best practices and emerging trends in the field.
  • To outline future "grand challenges" in biomedical computation.

Main Methods:

  • Review of current computing technologies (workstations, supercomputers, parallel processors).
  • Examples of advanced computing applications in various biomedical subdisciplines.

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  • Discussion of technological trends and their implications for biomedical research.

    • Main Results:

    • Biomedical computing is evolving, with advanced applications becoming more accessible.
    • Improvements in processing speed and interfaces empower nonexpert users.
    • Biomedical research is increasingly benefiting from high-end computing power and visualization techniques.

    Conclusions:

    • Advanced computing is transforming biomedical research, enabling more sophisticated modeling and data analysis.
    • Future trends point towards greater integration of computational power in addressing major biomedical challenges.
    • The field is poised for significant advancements in solving complex computational problems within the next five years.