Contact information
Research groups
Marta Pineda
Postdoctoral research assistant in Health Data
After completing a Masters’ degree in Biomedicine in 2016, I commenced working in the field of musculoskeletal research specifically focusing on the evaluation and management of the secondary effects of Aromatase Inhibitors in breast cancer patients.
I pursued this study further in a D Phil entitled "Epidemiological study of aromatase inhibitors in women diagnosed with breast cancer: evaluation and management of secondary effects" at the University of Barcelona (UB) .
My background includes experience in studies using routinely collected (real world) health data, experience in pharmacoepidemiology and knowledge of data sciences, medical statistics and epidemiology.
Recent publications
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Towards mitigating health inequity via machine learning: a nationwide cohort study to develop and validate ethnicity-specific models for prediction of cardiovascular disease risk in COVID-19 patients
Preprint
KHALID S. et al, (2023)
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Classification of patients with osteoarthritis through clusters of comorbidities using 633,330 individuals from Spain
Journal article
Pineda Moncusi M. et al, (2023), Rheumatology
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Estimating the incidence and key risk factors of cardiovascular disease in patients at high risk of imminent fracture using routinely collected real-world data from the UK.
Journal article
Pineda-Moncusí M. et al, (2022), J bone miner res
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Osteoarthritis (OA) patients are more likely to have other comorbidities (Swain, Sarmanova et al. 2020). Improving the understanding of comorbidity profiles of OA patients may lead to improvement in their clinical care.
Conference paper
Pineda Moncusi M. et al, (2022)
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Unsupervised Learning to Understand Patterns of Comorbidity in 633,330 Patients Diagnosed with Osteoarthritis
Journal article
Pineda Moncusi M. et al, (2022), Bioinformatics, 3, 121 - 129