Grants per year
Personal profile
About
I have over twenty years of experience in cancer research, cancer informatics, and healthcare administration, working at the National Cancer Institute, Oregon Health & Science University Knight Cancer Institute, and Providence Health & Services. I enjoy working through the challenges of oncology clinical data to improve workflows, efficiency and ultimately patient outcomes. In my current role I lead an analytic team that identifies opportunities to improve patient outcomes, healthcare quality and financial value in oncology care, at a large healthcare organization with over 50 hospitals and clinics. I have co-authored journal articles on cancer outcomes research. I completed my undergraduate studies at the University of Maryland, graduate studies at the George Washington University, and a certificate in health informatics from the Oregon Health and Science University.
Education/Academic qualification
George Washington University - School of Medicine and Health Sciences
1997 → 2000
University of Maryland at College Park
1992 → 1995
Research Interests
- Healthcare/clinical analytics
- Cancer Outcomes
- Cancer Registries
- Grant development, administration
Fingerprint
Dive into the research topics where Roshanthi Weerasinghe is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Grants
- 1 Finished
-
NAT'L CTR FOR CHRONIC DISEASE PREV & HLTH PROMO CONFERENCE SUPPORT PROGRAM
Weerasinghe, R. (PI)
Centers for Disease Control and Prevention
09/15/05 → 09/14/06
Project: Research
-
A whole-slide foundation model for digital pathology from real-world data
Xu, H., Usuyama, N., Bagga, J., Zhang, S., Rao, R., Naumann, T., Wong, C., Gero, Z., González, J., Gu, Y., Xu, Y., Wei, M., Wang, W., Ma, S., Wei, F., Yang, J., Li, C., Gao, J., Rosemon, J. & Bower, T. & 8 others, , 2024, (Accepted/In press) In: Nature.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
AI-based radiomic biomarkers to predict PD-(L)1 immune checkpoint inhibitor response within PD-L1 high/low/negative expression categories in stage IV NSCLC.
Simon, G. R., Curti, B., Weerasinghe, R. & comments, S. A. A. I., Jan 1 2023Research output: Other contribution
-
An Analysis of Patient Characteristics Associated with Myelosuppression Among Small Cell Lung Cancer (SCLC) Patients Treated in US Community Cancer Care Practices
Lopez-Gonzalez, L., Sanborn, R. E., Weerasinghe, R., Parrish, A. S. & comments, S. F. L. O. A. I., Jan 1 2023Research output: Other contribution
-
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Wong, C., Zhang, S., Gu, Y., Moung, C., Abel, J., Usuyama, N., Weerasinghe, R., Piening, B., Naumann, T., Bifulco, C. & Poon, H., 2023, In: Proceedings of Machine Learning Research. 219, p. 846-862 17 p.Research output: Contribution to journal › Conference article › peer-review
-
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
Preston, S., Wei, M., Rao, R., Tinn, R., Usuyama, N., Lucas, M., Gu, Y., Weerasinghe, R., Lee, S., Piening, B., Tittel, P., Valluri, N., Naumann, T., Bifulco, C. & Poon, H., Apr 14 2023, In: Patterns. 4, 4, 100726.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations