While scRNA-seq is primarily a research tool, it is beginning to find applications in clinical settings. For instance, it can be used to monitor tumor evolution and response to therapy in cancer patients. By analyzing single-cell transcriptomes from patient samples, clinicians can gain insights into treatment resistance and disease progression, potentially guiding therapeutic decisions.
