K
Kristina Hettne
Researcher at Leiden University Medical Center
Publications - 67
Citations - 1636
Kristina Hettne is an academic researcher from Leiden University Medical Center. The author has contributed to research in topics: Workflow & Metadata. The author has an hindex of 21, co-authored 64 publications receiving 1306 citations. Previous affiliations of Kristina Hettne include Leiden University & Maastricht University.
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Journal ArticleDOI
Chemical entity recognition in patents by combining dictionary-based and statistical approaches
Saber A. Akhondi,Ewoud Pons,Zubair Afzal,Herman H. H. B. M. van Haagen,Benedikt F.H. Becker,Kristina Hettne,Erik M. van Mulligen,Jan A. Kors +7 more
TL;DR: The development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015, which includes a Chemical Entity Mention in Patents recognition task and a Chemical Passage Detection classification task is described.
Journal Article
Drug prioritization using the semantic properties of a knowledge graph
Tareq B. Malas,Wytze J. Vlietstra,Roman Kudrin,Sergey S. Starikov,Mohammed Charrout,Marco Roos,D.J.M. (Dorien) Peters,Jan A. Kors,Rein Vos,Peter A C 't Hoen,E.M. van Mulligen,Kristina Hettne +11 more
TL;DR: The semantic properties of concepts in a knowledge graph can be exploited to prioritize drug repurposing candidates for testing in clinical trials, and this work uses the semantic information between drug and disease concepts as features from an existing knowledge graph that integrates 200 different biological knowledge sources.
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Prioritization of novel ADPKD drug candidates from disease-stage specific gene expression profiles.
Tareq B. Malas,Wouter N. Leonhard,Hester Bange,Zoraide Granchi,Kristina Hettne,Gerard J. P. van Westen,Leo S. Price,Peter A C 't Hoen,Peter A C 't Hoen,Dorien J.M. Peters +9 more
TL;DR: The data establishes drug repurposing as a robust drug discovery method, with three promising drug candidates identified for ADPKD treatment (Meclofenamic Acid, Gamolenic Acid and Birinapant), and can be extended for AD PKD and other diseases in the future.
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Longitudinal metabolomic analysis of plasma enables modeling disease progression in Duchenne muscular dystrophy mouse models.
Roula Tsonaka,Mirko Signorelli,Ekrem Sabir,Alexandre Seyer,Kristina Hettne,Annemieke Aartsma-Rus,Pietro Spitali +6 more
TL;DR: An in-depth metabolomic signature covering previously identified associations and new associations is reported, which enables drug developers to peripherally assess the effect of drugs on the metabolic status of dystrophic mice.
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Training Multidisciplinary Biomedical Informatics Students: Three Years of Experience
Erik M. van Mulligen,Montserrat Cases,Kristina Hettne,Eva Molero,Marc Weeber,Kevin A. Robertson,Baldomero Oliva,Guillermo de la Calle,Victor Maojo +8 more
TL;DR: The training activities undertaken in INFOBIOMED have contributed to a multi-disciplinary BMI approach within the European Union and it is hoped that this work might provide an impetus for training efforts in Europe, and yield a new generation of biomedical informaticians.