Microchip Impedance Biosensor for Biomedical Diagnostics. This research proposal uses an innovative engineering approach based on novel nanomaterials with the aim of developing a new and generic biosensing technology with the potential to be widely applied in many areas including medical diagnostics, environmental control, industry and biosecurity. The outcomes from this project will benefit Australia by contributing through the development of novel materials, new technologies and new devices. ....Microchip Impedance Biosensor for Biomedical Diagnostics. This research proposal uses an innovative engineering approach based on novel nanomaterials with the aim of developing a new and generic biosensing technology with the potential to be widely applied in many areas including medical diagnostics, environmental control, industry and biosecurity. The outcomes from this project will benefit Australia by contributing through the development of novel materials, new technologies and new devices. The development of technological innovations based on fabricated nanomaterials, will also enhance capacity in frontier technology such as nanotechnology, and build Australia’s strength in using new biosensing technologies.Read moreRead less
Special Research Initiatives - Grant ID: SR0354583
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Biodevice fabrication through intelligent surface modification. Achieving the reliable control of the attachment of proteins and other macromolecules to surfaces needed for sophisticated biosensors and medical diagnostics requires expertise and infrastructure from a diverse range of disciplines from the physical, chemical and biological sciences and engineering. This network will bring together researchers from a multidisciplinary pool working on problems relevant to the creation of functional s ....Biodevice fabrication through intelligent surface modification. Achieving the reliable control of the attachment of proteins and other macromolecules to surfaces needed for sophisticated biosensors and medical diagnostics requires expertise and infrastructure from a diverse range of disciplines from the physical, chemical and biological sciences and engineering. This network will bring together researchers from a multidisciplinary pool working on problems relevant to the creation of functional surfaces for applications in biodevices. The program we envisage will break down the barriers imposed by disciplinary boundaries and technical terminology to bring together the skills and infrastructure required to make rapid advances in this field.Read moreRead less
A gold-coated magnetic nanoparticle biosensor for detecting microRNA. The project aims to develop a biosensor for detecting short sequences of RNA, called microRNA (miRNA) in blood. There are about 100 miRNA sequences that are involved in most biological processes. Changes in the levels of some miRNA sequences can serve as a biomarker for many diseases including cancers. The miRNA will be detected using gold-coated magnetic nanoparticles modified with DNA sequences complementary to the miRNA of ....A gold-coated magnetic nanoparticle biosensor for detecting microRNA. The project aims to develop a biosensor for detecting short sequences of RNA, called microRNA (miRNA) in blood. There are about 100 miRNA sequences that are involved in most biological processes. Changes in the levels of some miRNA sequences can serve as a biomarker for many diseases including cancers. The miRNA will be detected using gold-coated magnetic nanoparticles modified with DNA sequences complementary to the miRNA of interest to capture the miRNA. Application of a magnetic field allows the levels of miRNA to be detected electrochemically. The expected outcome is a commercialisable biosensor for miRNA both as a diagnostic early detection device and a prognostic device for a range of miRNA biomarkers.Read moreRead less
Electrochemical biosensors for detection of cardiac disease markers in blood. Cardiovascular diseases leading to heart failure have a prevalence of over 16 per cent in Australia. The social, economic and health burden is higher than for any other disease group. Hence, it is critically important to develop fit-for-purpose sensors of known cardiac biomarkers, which alert patients and clinicians of the risk of imminent heart failure.
A new look at modelling population heterogeneity in econometric study. This research will advance existing quantitative techniques in economic study. New theoretical results will help enhance Australian research reputations. The innovative techniques developed in this project will be demonstrated to study labour force participation of people with disabilities in Australia. Findings of the empirical study will help governments in providing financial assistance to affected families and addressing ....A new look at modelling population heterogeneity in econometric study. This research will advance existing quantitative techniques in economic study. New theoretical results will help enhance Australian research reputations. The innovative techniques developed in this project will be demonstrated to study labour force participation of people with disabilities in Australia. Findings of the empirical study will help governments in providing financial assistance to affected families and addressing the issue of labour shortage in Australia. Furthermore the participation of a high profile international researcher will benefit the local research community and provide a research training opportunity for local postgraduate students.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101565
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodol ....Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodologies in finite mixture modelling using skew component distributions to provide better models for handling data with non-normal features (such as skewness, heavy/light tails, and multimodality). Applications may include security intrusion detection, clinical diagnosis and prognosis, and flow and mass cytometry.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH150100028
Funder
Australian Research Council
Funding Amount
$3,708,510.00
Summary
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu ....ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.Read moreRead less
Development of an implantable device to monitor lactate levels in blood: Monitoring the Performance of Australian athletes using Biosensor Technology. Sport is a critical area for social and economic investments. Novel medical monitoring systems using implantable biosensors will ensure optimal training programs for Australian athletes and maintain international competitiveness. Here we are developing a biosensor for real-time monitoring of lactate levels in athletes using frontier porous semicon ....Development of an implantable device to monitor lactate levels in blood: Monitoring the Performance of Australian athletes using Biosensor Technology. Sport is a critical area for social and economic investments. Novel medical monitoring systems using implantable biosensors will ensure optimal training programs for Australian athletes and maintain international competitiveness. Here we are developing a biosensor for real-time monitoring of lactate levels in athletes using frontier porous semiconductor technology and smart telemetry protocols to transfer the readings to a remote base unit. These highly innovative devices and the materials that they are made from have enormous commercial potential in biomedical engineering. There is a strong potential for Australia to have an important stake in this area by combining expertise in engineering, chemistry and nanostructured materials.Read moreRead less
Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowle ....Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowledge in econometrics and statistics, and enhanced tools for program evaluation and policy assessment in empirical causal analysis using observational data. The project falls into the category of smarter information use and is relevant to any national priority areas where policy interventions require assessment.Read moreRead less
Selection of mixed strength moment restrictions and optimal inference . This project aims to develop consistent model selection criteria even if the target model only provides a weak signal about the parameter of interest. This project expects to generate new knowledge on model selection using new and innovative techniques. Expected outcomes include the quantification of the maximum information on parameter from weak-signal models; new entropy-based model selection criteria; and a robust investi ....Selection of mixed strength moment restrictions and optimal inference . This project aims to develop consistent model selection criteria even if the target model only provides a weak signal about the parameter of interest. This project expects to generate new knowledge on model selection using new and innovative techniques. Expected outcomes include the quantification of the maximum information on parameter from weak-signal models; new entropy-based model selection criteria; and a robust investigation of the still debated hypothesis in environmental economics that with open and liberalized trade, developing countries would become pollution havens for dirty industries of advanced countries. Success in this undertaking will dramatically enlarge the pool of applied work involving economic models with weak signals.Read moreRead less