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Teaching Medical Students to Use Supercomputers: A Personal Reflection.

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The CompBioMed Education and Training Programme was developed to teach supercomputing to future medical professionals. This initiative has evolved over six years, overcoming challenges to integrate clinicians and researchers with high-performance computing (HPC).

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Computational biologyComputational biomedicineExperimental-computational workflowHigh-performance computingMedical studentMetagenomicsMolecular biosciencesNext-generation sequencingUndergraduateUniversity education

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Area of Science:

  • Computational Biology
  • Medical Informatics
  • High-Performance Computing (HPC)

Background:

  • The CompBioMed Centre of Excellence initiated an education and training program in 2016.
  • The program's genesis was a desire to educate medical students in supercomputing.
  • It involves collaboration between experimental researchers, computer scientists, clinicians, and industry partners.

Purpose of the Study:

  • To describe refinements and delivery of the CompBioMed Education and Training Programme over six years.
  • To highlight the successes and challenges in engaging clinicians and biomedical researchers with advanced computing.
  • To propose solutions for integrating users with limited computing experience into petascale environments.

Main Methods:

  • A holistic educational approach developed and delivered by a multidisciplinary team.
  • Continuous refinement of the training program based on practical experience.
  • Focus on bridging the gap between desktop computing and high-performance computing.

Main Results:

  • The program has successfully engaged a diverse community of users with supercomputing.
  • Significant progress has been made in training clinicians and biomedical researchers.
  • Barriers to adopting advanced computing in medicine have been identified and addressed.

Conclusions:

  • The CompBioMed Education and Training Programme has demonstrated the feasibility of integrating clinicians into HPC environments.
  • Ongoing efforts are needed to overcome remaining challenges in computational training for medical professionals.
  • Future strategies should focus on sustainable and scalable educational initiatives in biomedical computing.