sebastiano-massaro

Dr Sebastiano Massaro


Associate Professor | Senior Lecturer in Organizational Neuroscience
PhD

Academic and research departments

Surrey Business School.

Biography

Areas of specialism

organizational neuroscience; behavioural science; affect and cognition; decision making; cooperation; morality

My qualifications

PhD Management Science
UCL School of Management

Previous roles

Assistant Professor of Behavioral Science
Warwick Business School
Deputy Academic Lead Global Research Priority in Behavioral Science
University of Warwick

Research

Research interests

Supervision

Postgraduate research supervision

My teaching

My publications

Publications

Nikolaou Vasilis, Massaro Sebastiano, Fakhimi Masoud, Stergioulas Lampros, Price David (2020) COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda, Journal of Respiratory Medicine 106093 Elsevier
Chronic Obstructive Pulmonary Disease (COPD) is a highly heterogeneous condition projected to become the third leading cause of death worldwide by 2030. To better characterize this condition, clinicians have classified patients sharing certain symptomatic characteristics, such as symptom intensity and history of exacerbations, into distinct phenotypes. In recent years, the growing use of machine learning algorithms, and cluster analysis in particular, has promised to advance this classification through the integration of additional patient characteristics, including comorbidities, biomarkers, and genomic information. This combination would allow researchers to more reliably identify new COPD phenotypes, as well as better characterize existing ones, with the aim of improving diagnosis and developing novel treatments. Here, we systematically review the last decade of research progress, which uses cluster analysis to identify COPD phenotypes. Collectively, we provide a systematized account of the extant evidence, describe the strengths and weaknesses of the main methods used, identify gaps in the literature, and suggest recommendations for future research

Additional publications