V
Vladimir Brusic
Researcher at The University of Nottingham Ningbo China
Publications - 20
Citations - 93
Vladimir Brusic is an academic researcher from The University of Nottingham Ningbo China. The author has contributed to research in topics: Antigen & Data management. The author has an hindex of 4, co-authored 20 publications receiving 52 citations. Previous affiliations of Vladimir Brusic include University of Nottingham.
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Proceedings ArticleDOI
Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges
TL;DR: This paper highlights some software engineering and data-processing issues that can be addressed by metamorphic testing and combines data streaming with filtering and cross-calibration, use of medical knowledge for system operation and data interpretation, and IoT-based calibration using certified linked diagnostic devices.
Journal ArticleDOI
New approach to investigate Common Variable Immunodeficiency patients using spectrochemical analysis of blood
Emma L. Callery,Camilo L. M. Morais,Maria Paraskevaidi,Maria Paraskevaidi,Vladimir Brusic,Pavaladurai Vijayadurai,Ariharan Anantharachagan,Francis Martin,Anthony W. Rowbottom,Anthony W. Rowbottom +9 more
TL;DR: This proof-of-concept study provides a basis for developing a novel diagnostic tool for CVID by revealing spectral features capable of stratifying CVID patients from healthy controls with sensitivities and specificities of 97% and 93%, respectively for serum and plasma.
Journal ArticleDOI
Fibre optic sensors for the monitoring of rotating electric machines: a review
TL;DR: A novel FOS-EM observer system scheme employing the Fibre Bragg Grating technique for multi-parameter monitoring of EM health is proposed, after discussion of the preceding industrial and academic FOS cases for EM applications.
Proceedings ArticleDOI
Classification of Five Cell Types from PBMC Samples using Single Cell Transcriptomics and Artificial Neural Networks
Razin A. Shaikh,Jiahui Zhong,Minjie Lyu,Sen Lin,Derin B. Keskin,Guang Lan Zhang,Lou Chitkushev,Vladimir Brusic +7 more
TL;DR: Using 27 human single cell transcriptomics data sets, an artificial neural network model for classification of Peripheral Blood Mononuclear Cells (PBMC) is developed by combining multiple independent data sets to form training data sets.
Proceedings ArticleDOI
Classification of Single Cell Types During Leukemia Therapy using Artificial Neural Networks
TL;DR: In this paper, the authors used ANNs to classify peripheral blood mononuclear cells (PBMC) in chronic lymphoid leukemia (CLL) patients using gene expression profiles.