AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Longitudinal alignments and syntheses of multimodal clinical data for personalized medicine with the PULSE framework
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...
Advancing cancer detection and treatment using longitudinal routine clinical data.
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.