Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel ....Rapid point-of-care detection of genomic variations for personalised medicine. Selecting treatment based on a person’s genetic profile can improve drug safety and efficacy, but the application is hampered by the inconvenience, slow result turnaround and high cost of current lab-based tests. Full implementation of personalised medicine in clinical practice requires a point-of-care testing system. This project aims to overcome the challenges involved in developing such a system by validating novel rapid genotyping methods and developing ultrasensitive real-time DNA detection that will be integrated on a single chip platform to facilitate a small, low cost and reliable test device. The technology will be readily adaptable to areas where prompt access to genomic information is valuable, such as disease diagnosis and risk prediction.Read moreRead less
Image-guided skin microbiopsy technology development. There is a need for targeted biopsies in dermatology. This novel technology enables minimally invasive biopsies to be taken from suspicious skin lesions by integrating micromedical and imaging devices.
New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less