Sofia Nahavandi
University of Melbourne
8 Papers
17 Citations
Sofia Nahavandi is an academic researcher from University of Melbourne. The author has contributed to research in topics: Dielectrophoresis & Offspring. The author has an hindex of 7, co-authored 8 publications. Previous affiliations of Sofia Nahavandi include Royal Children's Hospital.
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Papers
Microfluidic platforms for biomarker analysis
Sofia Nahavandi,Sara Baratchi,Rebecca Soffe,Shi-Yang Tang,Saeid Nahavandi,Arnan Mitchell,Khashayar Khoshmanesh +6 more
TL;DR: This review will discuss biomarkers and outline microfluidic platforms developed for biomarker analysis and provide the precise and complex platform required to bridge the gap between biomarker research and the biomarker-based analytical device market.
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Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.
Sofia Nahavandi,Jas-Mine Seah,Alexis Shub,Alexis Shub,Christine A Houlihan,Christine A Houlihan,Elif I Ekinci +6 more
TL;DR: Although biomarkers hold promise, further investigation is needed to elucidate the potential clinical utility of biomarkers for macrosomia prediction for pregnancies affected by diabetes.
Exploration of the shared pathophysiological mechanisms of gestational diabetes and large for gestational age offspring
TL;DR: Reflect on the existing nutritional guidelines for GDM in light of the understanding of the pathophysiological mechanisms of GDM and LGA offspring, and one potential mechanistic link relates to macronutrient metabolism.
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Using dielectrophoresis to study the dynamic response of single budding yeast cells to Lyticase
TL;DR: This work utilizes dielectrophoresis for studying the dynamic response of budding cells to different concentrations of Lyticase, and introduces a novel method for immobilization of the cell organelles released from the lysed cells by patterning multi-walled carbon nanotubes between the microelectrodes.
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Application of Extended Multivariate Modeling for Information Flow Analysis of Event Related Responses
Imali Hettiarachchi,Shady Mohamed,Saeid Nahavandi,Sofia Nahavandi +3 more
- 01 Jan 2015
TL;DR: This paper uses an extended multivariate autoregressive model (eMVAR) which also accounts for any instantaneous interaction among variables under consideration and presents a Granger causality (GC)-based connectivity estimation applied to ERP data analysis.
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