Machine learning applications for novel biomarker & target discovery.

Ovarian Carcinoma

Ovarian cancer is among the deadliest gynecologic cancers, associated with a low 3-year rate of survival due to its typically late diagnosis.

Current assessments in clinical practice primarily rely on histological and pathological evaluation, which neither accurately predict outcomes nor provide personalized treatment strategies.

We are conducting research on the discovery of novel biomarkers for early prognosis and elucidation of novel therapeutic targets.

Our recent presentation:

Wu, H.T. and Tsurumi A. “Ovarian Cancer Survival Outcomes with Novel Prediction Biomarkers.” Mass General Brigham Clinical Research Day, Oct. 2024.

A graph showing the proportion of patients surviving over time in days, with different lines representing different groups, and an annotation indicating that prognostic biomarkers can help stratify patients and understand molecular pathways related to survival.