After obtaining access to the UK Biobank database, we plan to conduct a comprehensive study on cerebrovascular diseases (CVD), which are among the leading causes of death and disability worldwide, posing significant public health and socioeconomic burdens. Despite advancements in prevention and treatment, the mechanisms underlying the onset, progression, and prognosis of CVD remain poorly understood. Utilizing the extensive data available in the UK Biobank, including genetic information, clinical measurements, biochemical markers, and lifestyle factors, we aim to identify key risk factors contributing to CVD. Additionally, we will analyze the relationships between these factors and disease outcomes to uncover novel prognostic indicators. By applying advanced statistical and machine learning techniques, we intend to develop predictive models for disease risk and progression. This research seeks to bridge knowledge gaps, enhance the understanding of CVD pathogenesis, and contribute to the development of effective strategies for prevention, early intervention, and improved patient outcomes.
