C
Can Dincer
Researcher at University of Freiburg
Publications - 62
Citations - 2789
Can Dincer is an academic researcher from University of Freiburg. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 18, co-authored 49 publications receiving 1334 citations. Previous affiliations of Can Dincer include IMTEK & Royal School of Mines.
Papers
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Journal ArticleDOI
Disposable Sensors in Diagnostics, Food, and Environmental Monitoring.
Can Dincer,Richard Bruch,Estefanía Costa-Rama,M.T. Fernández-Abedul,Arben Merkoçi,Andreas Manz,Gerald Urban,Firat Güder +7 more
TL;DR: A brief insight into the materials and basics of sensors (methods of transduction, molecular recognition, and amplification) is provided followed by a comprehensive and critical overview of the disposable sensors currently used for medical diagnostics, food, and environmental analysis.
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Multiplexed Point-of-Care Testing – xPOCT
TL;DR: This work comprehensively review the present diagnostic systems and techniques for xPOCT applications, and critically summarize the in-field applicability and the future perspectives of the presented approaches.
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The impact of biosensing in a pandemic outbreak: COVID-19.
Eden Morales-Narváez,Can Dincer +1 more
TL;DR: This opinionated review critically discusses the state-of-the-art biosensing devices for COVID-19 testing and spot the urgent needs and highlight innovative diagnostic approaches for targeting various CO VID-19 related biomarkers.
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CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosensor for Nucleic Acid Amplification‐Free miRNA Diagnostics
Richard Bruch,Julia Baaske,Claire Chatelle,Mailin Meirich,Sibylle Madlener,Wilfried Weber,Can Dincer,Can Dincer,Gerald Urban +8 more
TL;DR: The validation of the obtained results with a standard quantitative real‐time polymerase chain reaction method shows the ability of the electrochemical CRISPR‐powered system to be a low‐cost, easily scalable, and target amplification‐free tool for nucleic acid based diagnostics.
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Wearable devices for the detection of COVID-19
TL;DR: Wearable electronic devices, which allow physiological signals to be continuously monitored, can be used in the early detection of asymptomatic and pre-symptomatic cases of COVID-19 as discussed by the authors.