Fig. 1: AI-driven workflow across the ADC development pipeline. | npj Precision Oncology

Fig. 1: AI-driven workflow across the ADC development pipeline.

From: Leveraging artificial intelligence in antibody-drug conjugate development: from target identification to clinical translation in oncology

Fig. 1

This schematic outlines the integration of AI across the major stages of ADC development, from target identification to clinical translation. For each stage, it highlights the essential data inputs (e.g., multi-omics, imaging data), the representative AI models (e.g., GNNs, Transformers), and the primary outputs (e.g., prioritized targets, optimized antibody sequences) that AI facilitates, demonstrating a modern, data-driven paradigm for ADC innovation.

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