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Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach
Translational research in toxicology has significantly benefited from transcriptomic profiling,
particularly in drug safety. However, its application has predominantly focused on limited …
particularly in drug safety. However, its application has predominantly focused on limited …
End to End Collaborative Synthetic Data Generation
The success of AI is based on the availability of data to train models. While in some cases a
single data custodian may have sufficient data to enable AI, often multiple custodians need …
single data custodian may have sufficient data to enable AI, often multiple custodians need …
Bidirectional Translation of Transcriptomic Profiles between Liver and Kidney under Drug Treatment Using Generative Adversarial Networks (GANs)
Translational research in toxicology is essential for understanding how molecular alterations
manifest across various biological systems to, for example, decrease reliance on animal …
manifest across various biological systems to, for example, decrease reliance on animal …
Towards privacy-preserving machine learning: generative modeling and discriminative analysis
D Chen - 2023 - publikationen.sulb.uni-saarland.de
The digital era is characterized by the widespread availability of rich data, which has fueled
the growth of machine learning applications across diverse fields such as computer vision …
the growth of machine learning applications across diverse fields such as computer vision …