Two teams released advances that couple single‑cell resolution with predictive and mechanistic insights. A new computational framework, scSurv, integrates bulk and single‑cell RNA sequencing to link individual cell populations with patient survival, offering a prognostic tool that can prioritize cell types and states for therapeutic targeting. Separately, single‑cell profiling linked endoplasmic‑reticulum stress to coronary artery disease pathogenesis and to the mechanism of a Ginkgo‑derived heart therapy. The mechanistic atlas identifies stressed endothelial and immune cell states that could be targeted by interventions; authors noted single‑cell spatial methods were central to resolving cell‑type interactions in diseased tissue.