Sabina Signoretti

Sep 4, 2024 | nature.com | Xiyue Wang |Junhan Zhao |Ruijiang Li |Nancy Lin |Keith L. Ligon |Sabina Signoretti | +3 more

AbstractHistopathology image evaluation is indispensable for cancer diagnoses and subtype classification. Standard artificial intelligence methods for histopathology image analyses have focused on optimizing specialized models for each diagnostic task1,2. Although such methods have achieved some success, they often have limited generalizability to images generated by different digitization protocols or samples collected from different populations3.

Jul 19, 2023 | onclive.com | Sabina Signoretti

Sabina Signoretti, MD, associate pathologist, Brigham and Women's Hospital, co-leader, Kidney Cancer Program, member, Prostate Cancer Program, professor of pathology, Dana-Farber Cancer Institute, Harvard Medical School, discusses research into the development of novel spatial biomarkers in renal cell carcinoma (RCC) utilizing tissue-based in situ analyses. There is currently an unmet need in the treatment of patients with RCC forbiomarkers to guide treatment selection.