M
Mauricio Barahona
Researcher at Imperial College London
Publications - 266
Citations - 11931
Mauricio Barahona is an academic researcher from Imperial College London. The author has contributed to research in topics: Complex network & Computer science. The author has an hindex of 44, co-authored 252 publications receiving 10076 citations. Previous affiliations of Mauricio Barahona include California Institute of Technology & Massachusetts Institute of Technology.
Papers
More filters
Journal ArticleDOI
Guiding interoperable electronic health records through patient-sharing networks
TL;DR: This study examines hospital attendances in England from 2013 to 2015 to identify instances of patient sharing between hospitals to achieve effective accessibility of clinical information without a large-scale national interoperable information system.
Posted Content
Data-driven unsupervised clustering of online learner behaviour
TL;DR: In this article, a mathematical framework for the analysis of time series collected from online engagement of learners, which allows the identification of clusters of learners with similar online behaviour directly from the data, i.e., the groups of learners are not pre-determined subjectively but emerge algorithmically from the analysis and the data.
Journal ArticleDOI
HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways
TL;DR: In this article, a highly generalizable statistical platform is proposed to infer the dynamic pathways by which many, potentially interacting, traits are acquired or lost over time, using HyperTraPS (hypercubic transition path sampling).
Journal ArticleDOI
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
TL;DR: Network-theoretical tools are applied to the analysis of free text in Hospital Patient Incident reports in the English National Health Service, to find clusters of reports in an unsupervised manner and at different levels of resolution based directly on the free text descriptions contained within them.
Journal ArticleDOI
Repurposed floxacins targeting RSK4 prevent chemoresistance and metastasis in lung and bladder cancer.
Stelios Chrysostomou,Rajat Roy,Filippo Prischi,Filippo Prischi,Lucksamon Thamlikitkul,Lucksamon Thamlikitkul,Kathryn L. Chapman,Uwais Mufti,Robert L. Peach,Laifeng Ding,David C. Hancock,Christopher I. Moore,Miriam Molina-Arcas,Francesco Mauri,David J. Pinato,Joel Abrahams,Silvia Ottaviani,Leandro Castellano,Georgios Giamas,Jennifer Pascoe,Devmini Moonamale,Sarah Pirrie,Claire Gaunt,Lucinda Billingham,Neil Steven,Michael Cullen,David Hrouda,Mathias Winkler,John Post,Philip Cohen,Seth J. Salpeter,Vered Bar,Adi Zundelevich,Shay Golan,Dan Leibovici,Romain Lara,Romain Lara,David R. Klug,Sophia N. Yaliraki,Mauricio Barahona,Yulan Wang,Julian Downward,J. Mark Skehel,Maruf M.U. Ali,Michael J. Seckl,Olivier E. Pardo +45 more
TL;DR: In this article, the authors identified RSK4 as a promoter of drug resistance and metastasis in lung and bladder cancer cells, and they suggested that inhibition of this kinase may represent an effective therapeutic strategy.