Space RAdiation Monitoring System (SRAMS) for safe space missions. The goal of the project is to develop a comprehensive space radiation monitoring system (SRAMS) that can evaluate: i) the radiation related hazards for astronauts, ii) the radiation damage in electronics during space missions and iii) the ground radiation facility environment used in radiation hardness assurance tests. SRAMS will also address important issue in space by minimizing manned or satellite space mission aborts due to s ....Space RAdiation Monitoring System (SRAMS) for safe space missions. The goal of the project is to develop a comprehensive space radiation monitoring system (SRAMS) that can evaluate: i) the radiation related hazards for astronauts, ii) the radiation damage in electronics during space missions and iii) the ground radiation facility environment used in radiation hardness assurance tests. SRAMS will also address important issue in space by minimizing manned or satellite space mission aborts due to space radiation adverse effects on astronaut’s health and electronics failure, and translates into an enormous economic value proposition. SRAMS will be paramount for leveraging the quantifiable standards of the space-radiation qualification facilities that are important for boosting the Australian Space industry. Read moreRead less
Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and stati ....Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and statistical methods that fully exploit the richness and complexity of the data generated by TB-PET, enabling 3D quantitative assays of molecular processes throughout the entire human body with unparalleled sensitivity. The technology we create will open up new capability for the study of complex physiological systems.Read moreRead less