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approach, we aim to detect signs of equine pneumonia and pleurisy by identifying specific breat patterns and abdominal movements. We will enhance our asthma detection model to distinguish it from pneumonia
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to focus more on patient care rather than administrative tasks. We aim to enhance veterinary report writing by leveraging Large Language Models (LLMs). We will use initial medical notes (audio or text) and
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with information to be extracted, the system should generate an XQuery program to perform the extraction. We will leverage Large Language Models and explore various prompting strategies to determine the
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