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Machine Learning in Drug Development by prasadclinical is a document available to read on EtoBox.

What is Machine Learning in Drug Development about?

The document discusses the application of machine learning in drug development, focusing on virtual drug screening, drug repurposing, and predicting drug-disease relationships using subgraph neural networks. It outlines various methodologies and frameworks for optimizing drug treatments and identifying potential new uses for existing drugs, particularly in the context of emerging diseases like COVID-19. Key insights include the importance of subgraph embeddings to assess the proximity of drugs to diseases i

Author

prasadclinical

Language

EN