Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India.

Alka DahiyaAbarna RajaduraiSherin DanielAjit SebastianDhanya Susan ThomasVinotha ThomasRachel GeorgeThomas Samuel RamArvind SathyamurthyGrace RebekahAbraham PeedicayilRekha PaiAnitha Thomas

Published in: Archives of gynecology and obstetrics (2023)

The integration of molecular-clinicopathologic data for endometrial cancer classification, through cost-effective, clinically applicable assays appears to be a highly objective tool that can be adopted even in resource-limited settings. It has the potential to cause a shift in the paradigm of EC pathology and management practice.

Keyphrases

endometrial cancer
big data
machine learning
deep learning
primary care
electronic health record
healthcare
high throughput
artificial intelligence
quality improvement
human health
single molecule