Now showing items 1-20 of 36

  • Abstract A27: A linked data approach to discover HPV oncoprotiens and RB1 induced mutation associations for the retinoblastoma research 

    Jha, Alokkumar; Khan, Yasar; Rebholz-Schumann, Dietrich; Sahay, Ratnesh (American Association for Cancer Research, 2017-01)
    Background: LOSS or GAIN in tumor suppressor gene RB1 play a significant role as in case of loss low penetrance where only 39% of eye at risk develops in retinoblastoma. This research covers the multiple mutation types and ...
  • Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context 

    Antoniades, Athos; Aristodimou, Aristos; Georgousopoulo, Christos; Forgó, Nikolaus; Gledson, Ann; Hasapis, Panagiotis; Vandeleur, Caroline; Perakis, Konstantinos; Sahay, Ratnesh; Mehdi, Muntazir; Demetriou, Christiana A.; Strippoli, Marie-Pierre F.; Giotaki, Vasiliki; Ioannidi, Myrto; Tian, David; Tozzi, Federica; Keane, John; Pattichis, Constantinos (Springer Verlag, 2017-03-22)
    Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling ...
  • Deep convolution neural network model to predict relapse in breast cancer 

    Jha, Alokkumar; Verma, Ghanshyam; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (IEEE, 2018-12-17)
    A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ...
  • A deep learning approach to genomics data for population scale clustering and ethnicity prediction 

    Karim, Md. Rezaul; Zappa, Achille; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (CEUR-WS.org, 2017-05-28)
    The understanding of variations in genome sequences assists us in identifying people who are predisposed to common diseases, solving rare diseases, and finding corresponding population group of the individuals from a ...
  • Demonstrating a linked data platform for finite element biosimulations of cochlear mechanics 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Hasapis, Panagiotis; Sahay, Ratnesh (CEUR-WS.org, 2015-10-11)
    Biosimulations employ Finite Element Method (FEM) to simulate complex biological systems in order to understand different aspects of human organs. The applications of FEM biosimulations range from human ear cochlear mechanics, ...
  • Demonstrating a linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)
    Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been ...
  • Detecting inner-ear anatomical and clinical datasets in the linked open data (LOD) cloud 

    Mehdi, Muntazir; Iqbal, Aftab; Khan, Yasar; Decker, Stefan; Sahay, Ratnesh (CEUR-WS.org, 2015-10-15)
    Linked Open Data (LOD) Cloud is a mesh of open datasets coming from different domains. Among these datasets, a notable amount of datasets belong to the life sciences domain linked together forming an interlinked “Life ...
  • Extending inner-ear anatomical concepts in the Foundational Model of Anatomy (FMA) ontology 

    Khan, Yasar; Mehdi, Muntazir; Jha, Alokkumar; Raza, Saleem; Freitas, Andre; Jones, Marggie; Sahay, Ratnesh (IEEE, 2015-11-02)
    The inner ear is physically inaccessible in living humans, which leads to unique difficulties in studying its normal function and pathology as in other human organs. Recently, biosimulation model has gained a significant ...
  • A Formal Investigation of Semantic Interoperability of HCLS Systems 

    Sahay, Ratnesh (IGI Global, 2013)
    Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders (e.g., patient, physician, pharmacy) at various levels as well as ensure seamless use of healthcare resources ...
  • A Formal Investigation of Semantic Interoperability of HCLS Systems 

    Sahay, Ratnesh; Zimmermann, Antoine; Fox, Ronan; Polleres, Axel; Hauswirth, Manfred (IGI Global, 2013-06)
    Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders at various levels as well as ensuring seamless use of healthcare resources. Their scope ranges from local to ...
  • Heterogeneity and Context in Semantic-Web-Enabled HCLS Systems 

    Zimmermann, Antoine; Sahay, Ratnesh; Fox, Ronan; Polleres, Axel (Springer, 2009)
    The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been developed in this direction, they have mostly ...
  • Improving data workflow systems with cloud services and use of open data for bioinformatics research 

    Karim, Md. Rezaul; Michel, Audrey; Zappa, Achille; Baranov, Pavel; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (Oxford University Press, 2017-04-16)
    Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ...
  • Linked data cased multi-omics integration and visualization for cancer decision networks 

    Jha, Alokkumar; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Springer Verlag, 2018-12-30)
    Visualization of Gene Expression (GE) is a challenging task since the number of genes and their associations are difficult to predict in various set of biological studies. GE could be used to understand tissue-gene-protein ...
  • A linked data platform for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Decker, Stefan; Sahay, Ratnesh (ACM, 2015-09-16)
    Biosimulation models have been recently introduced to understand the exact causative factors that give rise to impairment in human organs. Finite Element Method (FEM) provides a mathematical framework to simulate dynamic ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Jares, Joao; Freitas, Andre; Jha, Alok Kumar; Sakellarios, Antonis; Sahay, Ratnesh (World Scientific Publishing, 2016)
    Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)
    Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
  • Linked functional annotation for differentially expressed gene (DEG) demonstrated using Illumina Body Map 2.0 

    Jha, Alokkumar; Khan, Yasar; Iqbal, Aftab; Zappa, Achille; Mehdi, Muntazir; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (CEUR-WS.org, 2015-12-09)
    Semantic Web technologies are core for the integration of disparate data resources. It can be used to exploit data from next generation sequencing (NGS) for therapeutic decisions regarding cancer. In this manuscript, ...
  • A Methodological Approach for Ontologising and Aligning Health Level Seven Applications 

    Sahay, Ratnesh; Fox, Ronan; Polleres, Axel; Hauswrith, Manfred (2011-05)
    Healthcare applications are complex in the way data and schemas are organised in their internal systems. Widely deployed healthcare standards like Health Level Seven (HL7) V2 are designed using exible schemas which allow ...