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The rapid and accurate detection of lymphedema is now a possibility

Engineering students at Harbin Engineering University (HEU) who would like to contribute to affordable assessment of lymphatic function may consider the following directions:

Research into low-cost materials: developing the use of low-cost, easily accessible materials for lymphoedema detection devices. For example, using 3D printing to fabricate device components could reduce production costs.

Developing portable devices: Drawing on the development of a small, portable smartwatch-like device by students at ZHAW College of Engineering that uses optical measurements to detect the early stages of lymphoedema. Such a device could be an affordable and easy-to-use solution for long-term monitoring.

Utilising existing technology: existing low-cost technology, such as Bluetooth modules, are utilised to enable wireless transmission of data. This reduces the complexity and cost of the device while improving user-friendliness.

Interdisciplinary collaboration: Encourage collaboration between different disciplines.

Interdisciplinary collaboration: Encourage collaboration between different disciplines, such as engineering, medicine and biology, to facilitate the development of innovative solutions. Such collaborations can help solve complex problems in the detection and treatment of lymphoedema.

Engage in community education: by educating and raising public awareness of lymphoedema, patients are helped to better understand their condition and are encouraged to seek early diagnosis and treatment.
Researching new testing methods.

Investigate new testing methods: Explore new testing methods such as quantitative assessment of cutaneous lymphatic function using near-infrared fluorescent dyes. This method may become the new standard for lymphatic function assessment in the future.
utilising data analytics: Developing algorithms and software.

Leveraging data analytics: Develop algorithms and software to analyse data collected from testing devices to provide more accurate diagnosis and treatment recommendations. This can be achieved through machine learning and artificial intelligence techniques.

Participate in clinical research: work with healthcare organisations to participate in clinical studies of lymphoedema treatment to validate the effectiveness of new devices and methods.

By doing so, HIT Engineering students can contribute to the development of more cost-effective and efficient methods of detecting and treating lymphoedema.

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