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Biology subjects

Masarone, S.

Publications and source records attributed to Masarone, S..

2 recordsLinked to original sources

Using SAFEPATH to Uncover a Novel Mechanism of Hepatotoxicity for Gefitinib

This white paper details the research conducted by Ignota Labs using their advanced causal and explainable AI technology, SAFEPATH, to analyse the mechanisms of hepatotoxicity for two EGFR-TKI inhibitors, Erlotinib and Gefitinib, the latter having an as yet unknown mechanism of toxicity. The known mechanism of UGT1A1-mediated toxicity of Erlotinib was recovered, and a novel sphingolipid metabolism mechansim of toxicity of Gefitinib was hypothesised and subsequently experimentally validated. Crucially, we were also able to suggest the reason for the observed heterogeneous toxicity response to Gefitinib. This study exemplifies the potential of integrating AI tools with comprehensive datasets to improve drug safety and patient management.

systems biology↗

Representation Learning to Effectively Integrate and Interpret Omics Data

The last decade has seen an increase in the amount of high throughput data available to researchers. While this has allowed scientists to explore various hypotheses and research questions, it has also highlighted the importance of data integration to facilitate knowledge extraction and discovery. Although many strategies have been developed over the last few years, integrating data whilst generating an interpretable embedding still remains challenging due to difficulty in regularisation, especially when using deep generative models. Thus, we introduce a framework called Regularised Multi-View Variational Autoencoder (RMV-VAE) to integrate different omics data types whilst allowing researchers to obtain more biologically meaningful embeddings.

bioinformatics↗