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Related Concept Videos

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...

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Updated: May 12, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
07:26

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Published on: November 1, 2007

Sharing best practices in teaching biomedical engineering design.

R H Allen1, S Acharya, C Jancuk

  • 1Department of Biomedical Engineering, Department of Gynecology and Obstetrics, Center for Bioengineering Innovation and Design, Johns Hopkins University, 3400 N. Charles Street, Clark Hall 118C, Baltimore, MD 21218, USA. rha@jhu.edu

Annals of Biomedical Engineering
|April 10, 2013
PubMed
Summary
This summary is machine-generated.

Johns Hopkins University

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Area of Science:

  • Biomedical engineering education
  • Engineering design pedagogy

Background:

  • Undergraduate engineering design programs require effective pedagogical strategies.
  • Sharing best practices is crucial for advancing engineering education.

Purpose of the Study:

  • To describe the Johns Hopkins University's undergraduate biomedical engineering design team program.
  • To evaluate the program's pedagogical effectiveness using multiple metrics.

Main Methods:

  • Program description, including hierarchical team structure and longitudinal components.
  • Integration of clinical problems and interdisciplinary collaboration.
  • Regular design evaluations by external judges and iterative program improvement.

Main Results:

  • Key successful practices include empowered leadership, early student involvement, and clinical problem selection.
  • Strong industry, government, and medical faculty partnerships enhance student learning.
  • Continuous program adaptation based on feedback is vital.

Conclusions:

  • The Johns Hopkins biomedical engineering design program demonstrates a successful model for undergraduate education.
  • A flexible, feedback-driven approach is essential for optimizing engineering design pedagogy.
  • Institutional support is critical for program sustainability and success.