Coupling AI and network biology

Since the time of the genomic revolution, networks have been key to understanding biology in health and disease. However, building networks and reconstructing disease pathways have always been time-consuming and challenging processes. Artificial intelligence (AI) has the potential to transform how we approach biological networks to increase our understanding of the underlying mechanisms that could contribute to health and disease.

By applying AI, we can quickly and efficiently aggregate and parse our existing knowledge to form the basis for new understanding and predictions of novel targets, biomarkers and indications across a range of diseases.

This report describes how the emerging field of network-based AI transforms disease understanding and target identification, practical applications of AI in target identification, their success to date and how network approaches help identify targets and advance our understanding of the microbiome.

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