AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Multimodal models capable of imputing diverse data used in single-cell biology studies provide potential foundational opportunities in clinical practice. However, patient data uniquely comprise longitudinal mosaic measurements that reflect underlying physiological dynamics and exhibit temporal covariation, demanding a...
Distribution-conditioned transport (DCT), a framework that conditions transport maps on learned embeddings of source and target distributions, enabling generalization to unseen distribution pairs, is introduced.
Oncoformer provides a framework for risk-informed cancer prediction and treatment stratification using routine clinical data and was independently validated against postoperative pathological endpoints and shown to converge on core cancer genomic pathways.
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