Author

Richard Jackson

King's College LondonORCID 0000-0002-3278-8547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Research Focus:deconvolution· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Amos FolariniD· 2 shared Angus RobertsiD· 2 shared Asha Agrawal· 2 shared Clive Stringer· 2 shared Honghan WuiD· 2 shared Ismail Emre Kartoglu· 2 shared Richard DobsoniD· 2 shared Robert J. StewartiD· 2 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Amos FolarinORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintOct 28, 2021

Biological Insights Knowledge Graph: an integrated knowledge graph to support drug development

David Geleta, Andriy Nikolov, Gavin Edwards…·Eliseo Papa

The paper introduces a knowledge graph for drug development that integrates data from multiple sources and supports various tasks through customizable graph projections and machine learning models.

25 citations

drug response / drug discoverybenchmarking

𝕏 PostBluesky

BioinformaticsBMC Medical Informatics and Decision MakingPeer-reviewedJun 25, 2018

CogStack - Experiences Of Deploying IntegratedInformation Retrieval And Extraction Services In A Large National Health Service Foundation Trust Hospital

Richard Jackson, Ismail Emre Kartoglu, Asha Agrawal…·Richard Dobson

The paper describes the development and deployment of an open-source information retrieval and extraction system in a UK hospital to improve data flow and governance while supporting clinical and research needs.

134 citationstop 1%

electronic health recordsstatistical model

𝕏 PostBluesky

BioinformaticsJournal of the American Medical Informatics AssociationPeer-reviewedJan 8, 2018

SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research

Honghan Wu, Giulia Toti, Katherine I. Morley…·Richard Dobson

SemEHR is a semantic search system for clinical notes that improves data extraction and patient recruitment in healthcare settings.

123 citationstop 3%

humanelectronic health records

𝕏 PostBluesky