معرفی
Oskar Hagberg is a statistician and researcher affiliated with Lund University's Faculty of Medicine and Department of Translational Medicine in Malmö. His work bridges statistics, public health, and cancer epidemiology, with a focus on bladder cancer and breast cancer detection, prognosis, and classification systems.
- Current Projects: Active in AI-integrated mammography screening (MASAI trial) and bladder cancer classification guidelines.
- Network: Collaborates with international cancer research teams and contributes to policy discussions.
Hagberg’s research emphasizes statistical modeling for cancer outcomes, including delayed diagnosis mechanisms, AI’s impact on screening accuracy, and tumor grading standardization. His articles highlight interdisciplinary applications of data science in clinical oncology.
Recent publications examine AI-driven mammography (2025), UTI-induced diagnostic delays in bladder cancer (2025), and histopathological grading systems (2024). These works align with UN Sustainable Development Goals for good health and well-being.
