Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and ....Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and economic policy on entrepreneur’s behaviour and SMEs entry exit decisions. The project informs policy making through employing discrete choice experiments to elicit entrepreneur’s preferences for government policy and support post crisis. Read moreRead less