medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 3, 2024
ABSTRACT Introduction Methods for personalizing medical treatment are the focal point of contemporary biomedical research. In cancer care, we can analyze effects therapies at level individual cells. Quantitative characterization efficacy and evaluation why some individuals respond to specific regimens, whereas others do not, requires additional approaches genetic sequencing single time points. analysis changes in phenotype, such as vivo ex morphology localization cellular proteins organelles provide important insights into patient options. Novel needed extend survival metastatic castration-resistant prostate (mCRPC). Prostate-specific membrane antigen (PSMA), a cell surface glycoprotein that is commonly overexpressed by (PC) cells relative normal cells, provides validated target. Results We developed software image designed identify PSMA expression on epithelial order extract prognostic metrics. addition, our deliver predictive information inform clinicians regarding PC therapy. envisage applications system, beyond PC, expressed variety tissues. Our method based denoising, topologic partitioning, edge detection. These three steps allow segment area each spot an coverslip with Conclusions objective has been present community integrated, easy use all, tool resolving complex organization it goal have system approved clinical practice.
Language: Английский