University of Technology Sydney

43022 Advanced Biomedical Engineering Studio B

12cp; 10hpw, on campus, weekly
Requisite(s): (41162 Fundamentals of Biomedical Engineering Studio A AND 41163 Fundamentals of Biomedical Engineering Studio B AND (49261 Biomedical Instrumentation OR 42001 Bioinformatics))

Undergraduate

Description

This advanced studio course offers an in-depth exploration into the growing and innovative field of medical device development. Students delve into a variety of areas, ranging from the creation and refinement of physical instruments to the development of sophisticated software solutions. These biomedical devices play a crucial role in the diagnosis of specific diseases and are indispensable tools in hospitals and pathology labs around the world.

  • Project Stream 1: Creating a medical device – Building a PocketPCR and/or SMART Pipette – (Collaboration with The University of South Australia)
  • Project Stream 2: Medical Imaging and artificial intelligence

In project 1, students design, assemble, and prototype an integrated Point of Care PCR device and a SMART pipetting system. This includes assembling the PCR machine to amplify DNA and RNA sequences for detecting pathogens, testing it with control samples, and documenting the process. Alternatively, students develop a SMART pipette, integrating sensors to ensure precise reagent dispensing and create a user manual and training protocol. Both instruments are indispensable in the diagnostic industry.

Project Stream 2 specialises in creating cutting-edge artificial intelligence (AI) technologies to address medical imaging challenges. Medical imaging encompasses the utilisation of diverse technologies to generate visual depictions of the human body's internal structures and functions. These images are vital for diagnosing and monitoring diseases and conditions. Routine medical imaging techniques comprise X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound, among others. AI involves the development of computer systems capable of performing tasks typically requiring human intelligence. Deep convolutional neural network (CNN) is a particular subset of AI that holds great significance in medical imaging. In this stream, students are required to employ deep CNN to tackle a variety of medical imaging problems.

Upon completing this subject, students develop a comprehensive set of professional skills. These include expertise in project design and prototyping, enabling them to conceptualise and create functional models effectively. They have also honed their problem-solving abilities, allowing them to tackle complex issues systematically and efficiently. Additionally, students become proficient in stakeholder analysis, equipping them with the capability to identify and understand the needs and influences of various stakeholders in a project.

Furthermore, they have acquired a range of technical skills pertinent to the industry, ensuring they are well-prepared to meet the demands of their professional field.

Typical availability

Spring session, City campus


Detailed subject description.

Access conditions

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