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radiobiological mechanisms. By integrating radiopharmaceutical science, immunotherapy, and translational oncology, this project aims to develop a robust combination therapy platform for OC and TNBC which can help
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. The models will help interpret how different damage scenarios affect the ambient vibration signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin
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. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high
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are difficult to dissolve, development of an electrochemically assisted or ultrasonic aided dissolution method might be needed. For the recycling of Pu and U from used fuel, the PUREX process is the most widely