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research programme and infrastructure for AI-driven analysis of biomedical data, focusing on precision medicine applications in disease prediction, diagnosis and treatment optimization Promoting and driving
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research will aim at better exploiting the hand-craft morphological patterns, by means of recent advances in Optimal Transport, in terms of mixed Procrustes-Wasserstein distances [Alvarez-Melis et al., 2019
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. Unlearning is crucial for biological organisms to adapt and remain flexible in dynamic environments, as well as for machines to optimize output integrity by shedding outdated or harmful associations. In
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the existing highly optimized numerical simulation codes. The PDI Data Interface code coupling library is designed to fulfill this goal. The open-source PDI Data Interface library is designed and developed