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Spiros Denaxas
Professor of Biomedical Informatics
Spiros Denaxas is a prominent figure in the field of biomedical informatics with an extensive academic and research background. He currently holds several positions, including:
Academic Positions
- Professor of Biomedical Informatics at University College London (UCL)1
- Visiting Professor at National & Kapodistrian University of Athens
Research Roles
- Director of Research at UCL1
- Associate Professor (Senior Lecturer, tenured) in Biomedical Informatics at UCL1
Research Focus
Spiros Denaxas's research primarily revolves around:
- COVID-19 studies: He has been involved in research examining COVID-19 trajectories using electronic health records from 56 million people.2
- Cardiovascular research: He has participated in projects with the British Heart Foundation (BHF) Data Science Centre.3
Academic Impact
Professor Denaxas has made significant contributions to his field:
- He has been cited 13,416 times according to ResearchGate.5
- He has authored or co-authored 413 publications.5
Online Presence
You can find Spiros Denaxas on various professional platforms:
- LinkedIn: His username is spirosdenaxas, as mentioned in the query.
- ORCID: His ORCID identifier is 0000-0001-9612-7791.4
- ResearchGate: He maintains a profile where his research can be found.5
Spiros Denaxas's work spans various aspects of biomedical informatics, with a particular focus on leveraging large-scale electronic health records for research purposes. His contributions to COVID-19 research and cardiovascular studies highlight his engagement with pressing health issues.
Highlights
Very excited to share the culmination of 2+ years of research with fantastic colleagues across England, Scotland and Wales as part of the BHF Data Science Centre (British Heart Foundation) and led by Chris Tomlinson and Johan Thygesen
Our aim: create a reproducible framework to identify how and when people with COVID-19 are diagnoses, how they move through the healthcare system, the types of treatment they receive, and their outcomes.
We combined eight national data sources and analyzed electronic health records from 57 million people and billions of data points. We defined 10 COVID-19 phenotypes combining evidence from PCR testing, hospitalization/ICU admissions and treatment, primary care diagnoses and specialized COVID registries.
Paper in Lancet Digital Health The Lancet: https://lnkd.in/gm4g4khB
Code and algorithms under open source license: https://lnkd.in/gC7JrzQJ
Grateful for the amazing data made available through NHS and it's patients and the help from many great colleagues: Sam Hollings Mehrdad A. Mizani Jennifer Cooper Ashley Akbari Amitava Banerjee Alvina L. Kezhi (Ken) Li Bilal Mateen Navid Sataar reecha sofat Ana Torralbo Honghan Wu Angela Wood Jonathan Sterne Christina Pagel Will Whiteley Cathie Sudlow Harry Hemingway FFPH FRCP FMedSci
Great news - our Institute is leading the clinical data science theme.
