Chris Sena

ORCID: 0000-0002-7691-0567
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About
Contact & Profiles
Research Areas
  • COVID-19 diagnosis using AI
  • COVID-19 and Mental Health
  • Biomedical Ethics and Regulation
  • Health and Medical Research Impacts
  • Mesenchymal stem cell research
  • Cell Image Analysis Techniques
  • Pluripotent Stem Cells Research
  • Meta-analysis and systematic reviews
  • Science, Research, and Medicine
  • Animal testing and alternatives

University of Edinburgh
2019-2021

Edinburgh Royal Infirmary
2021

To determine whether a change in editorial policy, including the implementation of checklist, has been associated with improved reporting measures which might reduce risk bias.The study protocol published at doi: 10.1007/s11192-016-1964-8.Observational cohort study.Articles describing research life sciences Nature journals, submitted after 1 May 2013.Mandatory completion checklist during manuscript revision.(1) Articles before 2013; and (2) similar articles other journals matched for date...

10.1136/bmjos-2017-000035 article EN BMJ Open Science 2019-02-01

Throughout the global coronavirus pandemic, we have seen an unprecedented volume of COVID-19 researchpublications. This vast body evidence continues to grow, making it difficult for research users keep up with pace evolving findings. To enable synthesis this timely use by researchers, policymakers, and other stakeholders, developed automated workflow collect, categorise, visualise from primary studies. We trained a crowd volunteer reviewers annotate studies relevance COVID-19, study...

10.32384/jeahil17465 article EN cc-by Journal of EAHIL 2021-06-24

Cell therapy has been studied in many different research domains. Cellular replacement of damaged solid tissues is at an early stage development, with much still to be understood. Systematic reviews and meta-analyses are widely used aggregate data find important patterns results within domains.We set out common biological denominators affecting efficacy preclinical cell studies for renal, neurological cardiac disease.We datasets five previously published investigating models chronic kidney...

10.1136/bmjos-2020-100061 article EN BMJ Open Science 2021-04-01
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