Article

Representation Learning of Human Diseases for Indication Expansion and Investment Decisions

2024-11-21

Abstract excerpt

A fundamental challenge in translational medicine is the computational modeling of complex human diseases to accelerate therapeutic development. Representation learning provides a powerful framework to address this, yet creating models that capture deep biological mechanisms remains a critical need. To this end, we propose a novel strategy that partitions the disease landscape into rare and non-rare categories, en...

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Literature Corpus work: f7f5fbf0-c5a3-5462-b579-5f3604d1bc61
DOI: 10.1101/2024.11.19.624381

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