This case study presents a single-cell framework using foundation-model embeddings to map drug response in melanoma cell lines carrying BRAF V600E mutation. By analyzing transcriptional shifts after BRAF inhibitor treatment, the study uncovers mutation-specific sensitivity and resistance pathways, offering a scalable blueprint for high-resolution, AI-driven drug sensitivity profiling in precision oncology.