Brain Repair Following Stroke: The Role Of Npas4, A Neural-specific Transcription Factor
Funder
National Health and Medical Research Council
Funding Amount
$611,053.00
Summary
Stroke is the #1 cause of adult disability in Australia and #2 cause of death. About 60,000 Australians suffer a stroke each year while about 250,000 live with the disabilities of stroke, costing over $2B/year. The Queen Elizabeth Hospital and University of Adelaide will study why the Npas4 gene switches on after stroke and the role it plays in brain repair. Future health benefits may be tests to help improve stroke outcome in patients and therapy to decrease loss of brain cells after stroke.
Mab Immunotherapies For Myeloid Leukemia Patients With Germline Or Somatic RUNX1 Mutations.
Funder
National Health and Medical Research Council
Funding Amount
$766,995.00
Summary
This proposal presents preliminary evidence and proposes to confirm that 2 cell surface molecules, CD11a (ITGAL) and IL3RA (CD123) are direct (probably repression) targets of RUNX1 in HSCs, and are dysregulated in RUNX1 mutated AML. Monoclonal antibody therapies that target these two surface molecules have already passed different clinical trial phases for different diseases. We plan to show these antibodies are effective in RUNX1 positive AML in preclinical models and then clinical trials.
Industrial Transformation Training Centres - Grant ID: IC170100016
Funder
Australian Research Council
Funding Amount
$3,123,492.00
Summary
ARC Training Centre for Personalised Therapeutics Technologies. The ARC Training Centre for Personalised Therapeutics Technologies aims to create and develop the skills and technology to benefit from the transformative impacts that cell/organ-on-a-chip technology will have on the medtech/pharma industries. By combining microfluidics-based/real-time technologies with personalised medicine the Training Centre will provide industry growth opportunities through improved screening of potential therap ....ARC Training Centre for Personalised Therapeutics Technologies. The ARC Training Centre for Personalised Therapeutics Technologies aims to create and develop the skills and technology to benefit from the transformative impacts that cell/organ-on-a-chip technology will have on the medtech/pharma industries. By combining microfluidics-based/real-time technologies with personalised medicine the Training Centre will provide industry growth opportunities through improved screening of potential therapeutics. The use of an individual patient’s cellular and molecular research findings will ultimately enable personalised diagnostic and therapeutic decisions.Read moreRead less
Mechanical Factors In Normal Human Colonic Motility
Funder
National Health and Medical Research Council
Funding Amount
$650,023.00
Summary
Abnormal human colonic contractions cause significant medical, societal and financial burdens. Diagnosis and treatment of motility disorders requires an understanding of normal colonic contractility against which to measure dysfunction. Through state-of-the-art recording and analytical techniques, developed by the applicants, this project will provide the first clear description of normal human colonic motor patterns and how they are generated.
Unveiling the epigenome dynamics through the pluripotency continuum. This project aims to utilise stem cells and genomics based technologies, in combination with new computational algorithms to dissect the fundamental molecular events that drive the first steps during development. The project is expected to unveil the basic mechanisms underpinning how genes driving the developmental master plan are controlled in cells that have the capacity to give rise to the whole organism and placenta. The kn ....Unveiling the epigenome dynamics through the pluripotency continuum. This project aims to utilise stem cells and genomics based technologies, in combination with new computational algorithms to dissect the fundamental molecular events that drive the first steps during development. The project is expected to unveil the basic mechanisms underpinning how genes driving the developmental master plan are controlled in cells that have the capacity to give rise to the whole organism and placenta. The knowledge gained from this work will inform and guide future novel approaches, such as in assisted reproductive technologies or regenerative medicine.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100026
Funder
Australian Research Council
Funding Amount
$4,969,663.00
Summary
ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway an ....ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway and barriers faced by the sector, namely improving process efficiencies, enabling early-stage scale-up (cell/tissue) and development of the sector's supply chain. The knowledge created and research undertaken would help to accelerate commercialisation in regenerative medicine, tissue engineering and cell therapies.Read moreRead less
Benchmarking the neurophysiology of human cortex models in vitro. This project aims to improve human brain models in vitro by developing an analytical tool benchmarking biophysical similarities to the adult human cortex. This project expects to generate new knowledge by testing for the first time the theory that integrating sensory-like inputs and awake/sleep-like cycles of electrical activity in vitro may complete the maturation of human brain organoid models. It will also generate new methods ....Benchmarking the neurophysiology of human cortex models in vitro. This project aims to improve human brain models in vitro by developing an analytical tool benchmarking biophysical similarities to the adult human cortex. This project expects to generate new knowledge by testing for the first time the theory that integrating sensory-like inputs and awake/sleep-like cycles of electrical activity in vitro may complete the maturation of human brain organoid models. It will also generate new methods to simplify the analysis of multimodal path-clamping data (Patch-seq). Expected outcomes will facilitate research collaboration and the reproducibility of accurate experimental replicates of the human brain. This will provide significant benefits in the global race to understand human brain computation mechanisms.Read moreRead less
Bio-inspired Computing for Problems with Dynamically Changing Constraints. The aim of this project is to design bio-inspired computing methods for dynamically changing environments. Dynamic problems arise frequently in the areas of engineering, logistics, and manufacturing. Such problems are usually subject to a large set of constraints that change over time due to changes in resources. Algorithms that can deal with such dynamic changes would benefit decision-makers. The project aims to provide ....Bio-inspired Computing for Problems with Dynamically Changing Constraints. The aim of this project is to design bio-inspired computing methods for dynamically changing environments. Dynamic problems arise frequently in the areas of engineering, logistics, and manufacturing. Such problems are usually subject to a large set of constraints that change over time due to changes in resources. Algorithms that can deal with such dynamic changes would benefit decision-makers. The project aims to provide a foundational theory as the basis for the design of bio-inspired algorithms dealing with dynamically changing constraints and provide approaches for dealing with important industrial problems.Read moreRead less
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
Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high ....Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high performing bio-inspired algorithms for stochastic problems where the constraints can only be violated with a small probability. The outcomes will lead to more effective and reliable optimisation methods for complex planning processes in areas of national priority such as mining and manufacturing.Read moreRead less