Predictive Models To Design And Develop New Antibiotics Derived From The Community For Open Antimicrobial Drug Discovery
Funder
National Health and Medical Research Council
Funding Amount
$977,427.00
Summary
With the rise of infections from multidrug-resistant bacteria, and limited antibiotics in the development pipeline, new strategies are required to generate novel antibiotics. This project will apply artificial intelligence methods to study a unique dataset generated over five years with the help of over 300 academic groups around the world. It will produce predictive models that will then be applied to design new antibiotics, which will be synthesized and tested for antimicrobial activity.
DEEP LEARNING AND PHYSIOLOGY BASED APPROACH TO DERIVE AND LINK OBSTRUCTIVE SLEEP APNOEA PHENOTYPES AND SYMPTOMATOLOGY
Funder
National Health and Medical Research Council
Funding Amount
$402,978.00
Summary
Obstructive sleep apnoea (OSA) is a highly prevalent nocturnal breathing disorder strongly related to daytime sleepiness, accident risk and reduced quality of life. However, the current severity index, the apnoea-hypopnoea index, poorly predicts daytime sleepiness and vigilance. In this project we elegantly combine physiological insight and artificial intelligence to develop and evaluate novel clinically applicable computational tools for detailed quantification of OSA severity and its symptoms.
Ischaemic Stroke And Atrial Fibrillation: Development Of A Novel Artificial Intelligence System Using Magnetic Resonance Imaging
Funder
National Health and Medical Research Council
Funding Amount
$92,335.00
Summary
Atrial fibrillation (AF) is an abnormal heart rhythm which is a common cause of stroke. AF can often go unrecognized as patients may have no symptoms. This project aims to develop computer software which can automatically detect underlying AF based on MRI brain scan pattern, in patients who have had an acute stroke. This project has the potential to offer several benefits, including reduced need for costly investigations, improved AF detection and a larger pool of patients being treated for AF.
Computational Intelligence Methods for Financial Applications. Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as ....Computational Intelligence Methods for Financial Applications. Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as new standards in the field are developed. Furthermore, the fund management industry (particularly superannuation) is significant to the Australian economy and development of this technology has the potential to enhance its performance and reputation.Read moreRead less
Electrical Stimulation Of The Brain For Restoring Vision
Funder
National Health and Medical Research Council
Funding Amount
$1,555,864.00
Summary
This project is focused on the clinical demonstration of the Monash Vision Group’s ‘Gennaris’ cortical prosthesis or bionic eye. The clinical work will demonstrate the use of the Gennaris as a viable medical device that provides useful vision to people with adult-onset profound vision loss in their everyday living environments. This will place MVG in a position to attract funding from investors or commercial partners to perform multi-site clinical trials and obtain regulatory approval.
Thousands of chemicals are used in Australian workplaces. For many of these chemicals it is not known if they are harmful to people who work with them. Unless we can measure how much of a chemical a worker has been exposed to, we cannot determine if the chemical is harmful. While we can test what chemicals a worker is currently exposed to, it is more difficult to estimate how much chemical exposure they have had in the past. This project aims to improve the ways we estimate past chemical exposur ....Thousands of chemicals are used in Australian workplaces. For many of these chemicals it is not known if they are harmful to people who work with them. Unless we can measure how much of a chemical a worker has been exposed to, we cannot determine if the chemical is harmful. While we can test what chemicals a worker is currently exposed to, it is more difficult to estimate how much chemical exposure they have had in the past. This project aims to improve the ways we estimate past chemical exposure. We will build on existing best-practice methods to improve occupational exposure assessment. New computer technology will be used to develop an intelligent evolving database that can be used when asking people about jobs they have had in the past. Experts can examine the answers to the questions to decide whether the worker was exposed to particular chemicals. New methods of processing information, called artificial neural networks, will be used to automate some of these decisions.Read moreRead less
Improving Legal Frameworks to Support Online Child Sex Abuse Prosecutions. This project aims to gain a deeper understanding of the nature and extent of online child sexual abuse prosecutions in Australia. Using empirical studies to draw on the practical experience of law enforcement and other stakeholders, it will generate new knowledge concerning the suitability of Australia's legal and policy frameworks to effectively investigate and prosecute such offences, with a particular focus on the Asia ....Improving Legal Frameworks to Support Online Child Sex Abuse Prosecutions. This project aims to gain a deeper understanding of the nature and extent of online child sexual abuse prosecutions in Australia. Using empirical studies to draw on the practical experience of law enforcement and other stakeholders, it will generate new knowledge concerning the suitability of Australia's legal and policy frameworks to effectively investigate and prosecute such offences, with a particular focus on the Asia-Pacific region and the use of new technologies. Expected outcomes include evidence-based recommendations on criminal law reform and enforcement policy that aim to improve the international enforcement of online child sexual abuse offences, and to provide a model for other forms of serious transnational online crime.Read moreRead less
The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems ....The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems include dynamic scheduling (in the manufacturing sector), resource allocation optimisation (in the defence, mining, and agriculture sectors), and network design optimisation (in the telecommunications and energy sectors).Read moreRead less
Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of th ....Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of the information provided to the models (including measures of strategy, recent accounting metrics, global context). We also challenge the merits of a universal model by developing and testing a novel hybrid intelligent approach combining neural networks, genetic algorithms and self-organising maps, applicable to global markets.Read moreRead less
Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Althou ....Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Although the main investigation focuses on video surveillance and security systems for public safety, policing, crime prevention and border control, the outcomes of the investigation will have other applications, including digital photography for fine-art, medical imaging, picture archiving and communication systems for telemedicine and rural healthcare systems.Read moreRead less