Iker Huerga

Iker Huerga

New York City Metropolitan Area
5K followers 500+ connections

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About

With over 20 years of experience in applying Data Science and Artificial Intelligence to…

Activity

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Experience

  • AstraZeneca Graphic

    AstraZeneca

    New York, United States

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater New York City Area

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    Greater Philadelphia Area

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    Greater Philadelphia Area

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Education

Publications

  • Semantically enabling pharmacogenomic data for the realization of personalized medicine

    Pharmacogenomics, Future Medicine

    Understanding how each individual's genetics and physiology influences pharmaceutical response is crucial to the realization of personalized medicine and the discovery and validation of pharmacogenomic biomarkers is key to its success. However, integration of genotype and phenotype knowledge in medical information systems remains a critical challenge

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  • An informatics infrastructure for translating pharmacogenomic knowledge into clinical practice

    AMIA Summit on Translational Bioinformatics, conference article

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  • Fundamentals of Semantic Web Technologies in Medical Environments: A Case in Breast Cancer Risk Estimation.

    Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences

    Risk estimation of developing breast cancer poses as the first prevention method for early diagnosis. Furthermore, data integration from different departments involved in the process plays a key role. In order to guarantee patient safety, the whole process should be orchestrated and monitored automatically. Support for the solution will be a linked data cloud, composed by all the departments that take part in the process, combined with rule engines.

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  • Supporting Clinical Processes with Semantic Web Technologies: A Case in Breast Cancer Treatment

    International Journal of Metadata, Semantics and Ontologies (IJMSO), Inderscience

    Breast cancer surgery is carried out almost entirely manually and there is an obvious risk of human error due to temporary or occasional lack of staff experience (substitutions, sick leaves and other reasons). Another aspect is that the successful outcome of the process may depend on the personal attitude of administrative staff. In order to guarantee patient safety the whole process should be orchestrated and monitored automatically. Support for the solution will be a service-oriented…

    Breast cancer surgery is carried out almost entirely manually and there is an obvious risk of human error due to temporary or occasional lack of staff experience (substitutions, sick leaves and other reasons). Another aspect is that the successful outcome of the process may depend on the personal attitude of administrative staff. In order to guarantee patient safety the whole process should be orchestrated and monitored automatically. Support for the solution will be a service-oriented architecture combined with semantic web techniques to infer knowledge from predefined rules in order to make the process safe.

    See publication

Patents

  • Probabilistic Modeling to Match Patients to Clinical Trials

    Filed US 62/626625

Languages

  • Spanish

    Native or bilingual proficiency

  • English

    Full professional proficiency

  • Basque

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