Computational Drug Repurposing in the Era of Multimodal Data and Artificial Intelligence
Computational Drug Repurposing in the Era of Multimodal Data and Artificial Intelligence
https://www.nature.com/collections/faheahbdeg
Publish Date: 2026-04-30 01:45:00
Source Domain: www.nature.com
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Drug repurposing leverages existing safety, pharmacokinetic data, and manufacturing information to rapidly develop new treatments, reducing timelines and costs compared to traditional drug discovery.
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The field of computational drug repurposing is being revolutionized by the integration of multimodal biomedical data with advanced AI and machine learning technologies.
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Topics of interest in this rapidly evolving field include integrating various types of data, using AI for drug-disease association prediction, knowledge graph construction, causal inference, explainable AI, legal and regulatory considerations, clinical case studies, and benchmarking tools.
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This Special Collection in npj Digital Medicine aims to highlight cutting-edge research and thought leadership in the intersection of computational drug repurposing, multimodal data science, and AI, encouraging contributions that have clinical relevance and address health disparities and complex diseases.
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It serves as a resource for researchers, clinicians, data scientists, pharmaceutical developers, and policymakers looking to use multimodal data and AI to enhance therapeutic innovation and ensure equitable drug repurposing.
