Publications by authors named "Des Brennan"

Article Synopsis
  • Researchers investigated how to detect and correct misalignment in ultrasonic power transfer systems for implanted and wearable medical devices due to body movement.
  • Various machine learning algorithms, including autoencoder, CNN, and NN, were tested to classify misalignment from over 700 collected ultrasonic signal data.
  • The best-performing algorithm was implemented on a TinyML device, achieving over 99% accuracy in real-time signal classification, showing potential for improved power delivery in ultrasonic devices using beam-steering technology.
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The increasing realisation of the impact of size and surface properties on the bio-distribution of drug loaded colloidal particles has driven the application of micro fabrication technologies for the precise engineering of drug loaded microparticles. This paper demonstrates an alternative approach for producing size controlled drug loaded PLGA based microparticles using silicon Microfluidic Flow Focusing Devices (MFFDs). Based on the precise geometry and dimensions of the flow focusing channel, microparticle size was successfully optimised by modifying the polymer type, disperse phase (Qd) flow rate, and continuous phase (Qc) flow rate.

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The fabrication and characterization of surface-attached PEG-diacrylate hydrogel structures and their application as sensing platforms for the detection of specific target sequences are reported. Hydrogel structures were formed by a photopolymerization process, using substrate-bound Eosin Y molecules for the production of free radicals. We have demonstrated that this fabrication process allows for control over hydrogel growth down to the micrometer scale.

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