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literature from large-scale scientific article repositories like PubMed. · Advancing research in retrieval-augmented generation (RAG) to support the qualitative and quantitative synthesis of scientific
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semantic harmonisation and retrieval Designing and implementing Retrieval-Augmented Generation pipelines that combine structured clinical data with unstructured text and external knowledge sources Designing
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, and representation learning Developing embedding-based representations of clinical variables and documents to support semantic harmonisation and retrieval Designing and implementing Retrieval-Augmented
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Horizon Europe – MSCA project where we aim to augment deep brain stimulation with electric field spatio-temporal interference stimulation. We aim to beneficially influence therapeutic regions deep in
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accessibility policies in Australia, the UK, Germany, and the US. ARHAT Implementation Study – Evaluation of the Augmented Reality Home Assessment Tool with home health and aging service agencies in NY and WI