arXiv:2410.07252
Multilayer network approaches to omics data integration in Digital Twins for cancer research
원문 초록
This review examines current and potential applications of DTs in healthcare, focusing on the integration of multi-omics data using multilayer network approaches in cancer research. We discuss methodologies, tools and platforms commonly used for this integration, while highlighting case studies, challenges, and research gaps. Finally, we advocate the need for incorporating diverse data types to produce more effective DTs for personalization of cancer treatments and in silico clinical trials.
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From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
The Cell Ontology in the age of single-cell omics
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Evaluating AI capabilities in detecting conspiracy theories on YouTube
Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
토론
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