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Mònica Mir

Researcher at University of Barcelona

Publications -  30
Citations -  780

Mònica Mir is an academic researcher from University of Barcelona. The author has contributed to research in topics: Biosensor & Electrochemical gas sensor. The author has an hindex of 13, co-authored 30 publications receiving 549 citations.

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Blood-Based Cancer Biomarkers in Liquid Biopsy: A Promising Non-Invasive Alternative to Tissue Biopsy

TL;DR: Improvements in isolation technologies, based on a higher grade of purification of CTCs, exosomes, and ctDNA, will provide a better characterization of biomarkers and give rise to a wide range of clinical applications, such as early detection of diseases, and the prediction of treatment responses due to the discovery of personalized tumor-related biomarkers.
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Integrated electrochemical DNA biosensors for lab-on-a-chip devices.

TL;DR: Different electrochemical DNA biosensors integrated in analytical microfluidic devices are discussed and some early stage commercial products based on this strategy are presented.
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Magnetite-Amyloid- β deteriorates activity and functional organization in an in vitro model for Alzheimer’s disease

TL;DR: It is suggested that magnetite nanoparticles have a more prominent role in AD than previously thought, and may bring new insights in the understanding of the damaging action of magnetite-amyloid-β complex.
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Commercialized Diagnostic Technologies to Combat SARS-CoV2: Advantages and Disadvantages

TL;DR: A comprehensive analysis of the commercialized technologies for the genomic based sensing and the antibody/antigen detection methods devoted to Covid-19 diagnosis is described in this review, which have been detailed and listed under different countries regulations.
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Sensor-Integrated Microfluidic Approaches for Liquid Biopsies Applications in Early Detection of Cancer.

TL;DR: These fully integrated systems will facilitate the generation of fully automatized platforms at low-cost for compact cancer diagnosis systems at an early stage and for the prediction and prognosis of cancer treatment through the biomarkers for personalized tumor analysis.