Device Innovation
Device Innovation - Related Videos
07:24
Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal
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2025
This manuscript presents a novel, innovative 3D-printed illumination device for studying Rose Bengal-mediated photodynamic therapy in vitro.
14:14
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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Cited by 1 •
2022
The Innovation Arena is a novel comparative method for studying technical innovation rate per time unit in animals. It is composed of 20 different problem-solving tasks, which are presented simultaneously. Innovations can be carried out freely and the setup is robust with regard to predispositions on an individual, population or species level.
01:21
Diffusion of Innovation
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2024
The Diffusion of Innovation theory, proposed by Everett Rogers, explains how, why, and at what rate new ideas and technology spread through cultures. According to the theory, there are five categories of adopters: Innovators (2.5% of the population) are risk-takers willing to try new ideas. Early Adopters (13.5%): They are opinion leaders who adopt new ideas early but with more caution than innovators. Early Majority (34%): They adopt an innovation after a varying degree of time. This time...
08:29
Thermal Measurement Techniques in Analytical Microfluidic Devices
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Cited by 6 •
2015
Here, we present three protocols for thermal measurements in microfluidic devices.
05:40
Fabricating Cotton Analytical Devices
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2016
To investigate simple fabrication approaches for multiple assay needs, we created a fluid-absorbing channel system made of cotton material. This device was used to establish a multiple detection platform, and solve contamination issues that commonly affect lateral flow-based biomedical devices, for clinical urinalysis of nitrite, total protein, and urobilinogen.
FAQs
Clinical insight identifies an unmet healthcare need, while engineering translates that need into a device capable of sensing biological signals, delivering therapy, supporting diagnosis, or assisting patient care. This connection keeps development focused on practical medical problems rather than technology alone. It can guide choices about the device’s intended function, form, and role in clinical decision-making.
Iterative development allows a device concept to be examined, adjusted, and improved over successive versions. Prototyping turns an engineering idea into a practical design, testing reveals whether it addresses the intended clinical need, and refinement incorporates those findings. This progression can improve accuracy, safety, accessibility, or treatment effectiveness before the technology is used in patient care.
These device categories address medical needs through different forms of interaction with the patient. Wearable systems can monitor biological signals, implantable systems can support ongoing functions within the body, and minimally invasive instruments can assist procedures while limiting the extent of intervention. Their differing roles allow innovation to support monitoring, therapy, diagnosis, or care in context-specific ways.
A device contributes to clinical decision-making when its capabilities match a meaningful healthcare need. Its value may depend on how accurately it senses biological signals, supports diagnosis, delivers therapy, or assists care, along with whether it improves safety or accessibility. When these functions provide clinically useful information or support, the technology can contribute to more efficient and personalized care.
Development begins by identifying an unmet healthcare need and combining clinical insight with engineering to address it. Teams then create a prototype, test the design, and refine it through successive iterations. This workflow links the original medical problem to a practical tool and helps improve characteristics such as accuracy, safety, accessibility, or treatment effectiveness.
Researchers may pursue this approach when existing ways to monitor, diagnose, treat, or support patients do not adequately address a healthcare need. Possible outcomes include wearable monitoring, implantable systems, diagnostic platforms, or minimally invasive instruments. These technologies can support earlier disease detection, personalized care, and more efficient clinical decision-making by translating scientific principles into practical medical tools.