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.
Intelligent Resource Allocation Techniques for Next Generation Wireless Mobile Communication Networks. The project will develop radio and network resource allocation techniques to maximise network utilisation and to offer guaranteed Quality of Service (QoS) for multimedia traffic in 3G/4G wireless mobile communication networks. In particular, this work will study the problem of radio channel allocation in wireless IP (Internet protocol) multimedia networks. The project will develop resource allo ....Intelligent Resource Allocation Techniques for Next Generation Wireless Mobile Communication Networks. The project will develop radio and network resource allocation techniques to maximise network utilisation and to offer guaranteed Quality of Service (QoS) for multimedia traffic in 3G/4G wireless mobile communication networks. In particular, this work will study the problem of radio channel allocation in wireless IP (Internet protocol) multimedia networks. The project will develop resource allocation algorithms based on traffic conditions, link qualities and service requirements using statistical traffic models, mobile software agents and neural network techniques.
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Mechanisms of Recovery after Extinction of Conditioned Behaviour. Old habits die hard and may never die at all. My previous ARC-funded research has revealed that extinguished learning can be recovered rapidly and in unsuspected ways. This project is aimed at building a neural network to explain how old learning can recovered. In practical terms, rapid recovery has both benefits, e.g., our ability to regain old skills with brief refresher training, and costs, e.g., relapse after therapies for anx ....Mechanisms of Recovery after Extinction of Conditioned Behaviour. Old habits die hard and may never die at all. My previous ARC-funded research has revealed that extinguished learning can be recovered rapidly and in unsuspected ways. This project is aimed at building a neural network to explain how old learning can recovered. In practical terms, rapid recovery has both benefits, e.g., our ability to regain old skills with brief refresher training, and costs, e.g., relapse after therapies for anxiety disorders and substance abuse. In theoretical terms, understanding recovery in biological systems will inform research concerning both the neural basis of memory and the design of robots.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.
Discovery Early Career Researcher Award - Grant ID: DE170101514
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
The control of neuroplasticity in the brain. This project aims to determine how neuroplasticity – the brain’s ability to remodel and make new circuits – is controlled in both excitatory and inhibitory neurons. This capacity, vital for all cognitive functions, diminishes as people age. It is imperative to determine neuroplasticity’s mechanisms and how and why they change, but it is not known how both excitatory and inhibitory neurons contribute to neuroplasticity and how these dynamic alterations ....The control of neuroplasticity in the brain. This project aims to determine how neuroplasticity – the brain’s ability to remodel and make new circuits – is controlled in both excitatory and inhibitory neurons. This capacity, vital for all cognitive functions, diminishes as people age. It is imperative to determine neuroplasticity’s mechanisms and how and why they change, but it is not known how both excitatory and inhibitory neurons contribute to neuroplasticity and how these dynamic alterations are controlled. Understanding neuroplasticity is vital for learning, memory and healthy ageing throughout life.Read moreRead less
Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
Data Mining by Clustering in Very Large Relational Databases. Many commercial and governmental entities possess very large relational data that cannot be feasibly analyzed by today's computers, e.g., gene expression data, product usage databases and telecommunication call records. The clustering tools developed in this project will have a significant benefit on many business processes that involve clustering this type of data, such as fraud detection and market segmentation.