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My main research aim is to understand the burden of various diseases and identify the most cost-effective treatment options for patients. I am interested in novel methodological approaches tailored to the current needs and opportunities in healthcare research, including big data analysis, electronic health records, and digital interventions. I am curious about the impact of artificial intelligence in medicine, and the combination of machine learning techniques and cost-effectiveness analysis.
My work is multidisciplinary, as I collaborate with clinicians, medical doctors, and statisticians. In the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), I use routinely collected data (real-world evidence) to investigate the healthcare use and costs related to various musculoskeletal conditions and rare diseases, such as osteogenesis imperfecta and multiple myeloma.
My work is multidisciplinary, as I collaborate with clinicians, medical doctors, and statisticians. In the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), I use routinely collected data (real-world evidence) to investigate the healthcare use and costs related to various musculoskeletal conditions and rare diseases, such as osteogenesis imperfecta and multiple myeloma.
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ESC heart failureno. 6 (2023): 3385-3397
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Value in Healthno. 12 (2022): S150-S150
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