معرفی
Diana Tilevik is an Associate Professor and Head of School in Systems Biology at the University of Skövde, Sweden. She is affiliated with the School of Bioscience and conducts research within the Infection Biology Research Group at the Systems Biology Research Environment. Her office is located in Room G2256 and she can be reached at diana.tilevik@his.se or by phone at 0500-448635.
- Associate Professor, Systems Biology, University of Skövde, 2022
- Doctor of Philosophy in Infection Biology, Karolinska Institutet, 2010
- Master of Science in Computational Molecular Biology, University of Skövde, 2004
Diana Tilevik's research primarily focuses on applying computational and statistical methods in infection biology, with a particular emphasis on developing data-mining methods for sepsis diagnostics. Her work aims to improve early identification of sepsis patients by developing methods to detect pathogenic microorganisms in patients' blood and diagnose sepsis using biomarkers. She has developed multi-marker panels that combine biological and clinical markers for improved diagnostic precision, evaluated various molecular biology methods for rapid pathogen identification, and utilized sequencing techniques to analyze bacterial genomes for species identification and antibiotic resistance assessment. Her research bridges computational biology, microbiology, and clinical medicine to address the life-threatening condition of sepsis that affects over 50,000 people annually in Sweden.
Her recent publications demonstrate a strong focus on sepsis diagnostics using advanced computational and genomic approaches. She has published extensively on pathogen identification (particularly Staphylococcus aureus, Escherichia coli, and Klebsiella), biomarker validation, and the development of diagnostic pipelines. Her work shows a clear progression from fundamental studies on pneumococcal transmission to applied clinical diagnostics for sepsis, with an increasingly computational approach integrating machine learning and big data analysis techniques.
Diana Tilevik collaborates with multiple institutions including Skaraborg Hospital, Unilabs AB, 1928Diagnostics AB, and QIAGEN AB on sepsis research projects. She leads or contributes to several significant research initiatives including AI-driven precision medicine (AID-PM), miRSeps for future sepsis diagnostics, and data-mining for biomarker discovery. These projects focus on developing earlier and more accurate diagnostics for sepsis to increase patient survival rates and reduce complications.
As part of the Systems Biology Research Environment, Tilevik works within a multidisciplinary team that combines expertise in computational methods, molecular biology, and clinical medicine. Her research group focuses on translating computational findings into clinical applications, with particular attention to developing reliable diagnostic tools that can be implemented in healthcare settings. The team utilizes advanced sequencing technologies, bioinformatics pipelines, and statistical modeling to address critical challenges in infection biology and sepsis management.
