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    PaSER - Parallel database Search Engine in Real-time

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    Traditionally data acquisition has been the bottleneck for large scale proteomics. This has also remained one of the limitations in leveraging mass spectrometry within the clinic.

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    Ensuring Data Integrity Compliance in Pharma with CDS Software

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    Understanding How Infectious Diseases Spread
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    Predicting the Carbon Footprint of Algorithms
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    On a daily basis, most of us are in close contact with advanced AI methods known as deep learning. Two students at the University of Copenhagen have developed a software carbon tracker to measure AI energy consumption.

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    Gas Chromatography
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    In this article, we bring together resources from the across the site on gas chromatography, how it works, its pairing with downstream techniques and what its applications are.

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    The Coronavirus Pandemic
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    On December 31, 2019, the first cases of a novel coronavirus were identified in Wuhan City, Hubei Province, China. Here, we curate a collection of news and content related to what has become the COVID-19 pandemic.

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    ICP-OES – ICP Chemistry, ICP-OES Analysis, Strengths and Limitations
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    Inductively coupled plasma-optical emission spectroscopy (ICP-OES) is an analytical technique that is used to identify the atomic composition of a sample. In this article we will explore how the technique works, what it tells us, strengths, limitations and common problems, and how it compares to other techniques in this analytical niche.

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    The Secret to Detecting SARS-CoV-2 Is in Our Sewage
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    Wastewater-based surveillance can detect cases of COVID-19 efficiently in large populations, both early and in asymptomatic individuals. This buys public health official precious time to act.

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    ICP-MS — ICP-MS Instrumentation, ICP-MS Analysis, Strengths and Limitations
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    Inductively coupled plasma mass spectrometry (ICP-MS) is a flexible chemical analysis method that can be tailored to meet the demands of a wide variety of industries. In this article, we explore how it works, what it tells us, it's strengths and limitations and how it compares to other techniques in this analytical space.

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    Personalized Medicine Model Aiming To Improve Diagnosis and Treatment of Chronic Diseases
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    To learn more about the PANDIS model, its aims, and how it can be used to help diagnose and treat patients suffering from a range of conditions spanning from cancers to “mystery chronic diseases”, Technology Networks spoke with PANDIS’s founders, Professor Gilles Guillemin and Catherine Stace.

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