Dr. Haruka Itakura

Biography

Haruka Itakura is an Assistant Professor in Medicine (Oncology) at Stanford University School of Medicine and a practicing breast medical oncologist at Stanford Women’s Cancer Center. She is board-certified in Oncology, Clinical Informatics, Hematology, and Internal Medicine. Her research mission focuses on driving medical advances at the intersection of cancer and data science, applying state-of-the-art machine learning and artificial intelligence techniques to extract clinically actionable knowledge from heterogeneous multi-scale cancer data aimed at improving patient outcomes. Her ongoing research emphasizes developing robust methodologies to analyze complex cancer big data, which has led to her receiving the NIH K01 Career Development Award in Biomedical Big Data Science. Itakura's cancer research involves extracting radiomic features from medical imaging studies and utilizing machine learning frameworks and radiogenomic approaches for integrative analysis of multi-omic data. This research aims to accelerate discoveries in cancer diagnostics and therapeutics. Current projects include prediction modeling for survival, treatment response, and recurrence in cancer subtypes as well as the identification of novel therapeutic targets.

Research Interests