This work focuses on the architecture of data repositories and the implementation of AI tools to bridge the gap between research and clinical practice. Key projects include the…
PROFOUND-VET (Partnership for Real-world Outcomes, Findings, and Observations Using National Data on Veterans) is a coordinated initiative within the VA healthcare system designed to…
This research develops and validates predictive models for venous thromboembolism (VTE) in oncology patients. It integrates electronic health record data, plasma proteomics, and…
This line of research examines the impact of physiologic reserve and chronic condition clusters on survival and treatment tolerance in elderly cancer patients. It emphasizes the…
This line of research characterizes the epidemiology, risk factors, and outcomes of melanoma across cutaneous subtypes and rare variants. Studies span conventional cutaneous melanoma,…
This research identifies novel hematologic biomarkers, including absolute lymphocyte and monocyte counts, to predict survival in patients with plasma cell disorders and acute myeloid…
This research analyzes the susceptibility, severity, and vaccination response of patients with cancer and other immune-mediated conditions during the COVID-19 pandemic. It utilizes…
This line of work develops rule-based and transformer-based NLP models to extract critical clinical data from unstructured notes. Applications include the extraction of cancer…
This research investigates the link between systemic inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR) and platelet function, and the risk of Alzheimer's disease…