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Epidemic vs Pandemic

Article

“An outbreak of this”, “epidemic of that”, “protect yourself against a potential pandemic of some horrible sounding disease”. Whether discussing disease in humans or animals, all are terms we hear on the news frequently, but do you know what the differences are between them? In this article, we take a look at the terminology used by epidemiologists and scientists to describe the occurrence and spread of disease.

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Answer the challenges of CDS Data integrity - Sterling Pharma Solutions Ltd

Webinar

Data integrity continues to be a hot topic for the regulatory agencies in the pharmaceutical industry.

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Thermodynamics - Explaining the Triple Point

Video

This experiment demonstrates the triple point of a substance. Watch how water behaves at the triple point where it co-exists in solid, liquid and vapour form. There is also a short description of where the triple point lies on a P-T-diagram.

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Silencing the "Noise" That Can Disrupt Quantum Computing

News

Researchers have demonstrated, for the first time, a tool that detects new characteristics of environmental "noise" that can destroy the fragile quantum state of qubits, the fundamental components of quantum computers. The advance may provide insights into microscopic noise mechanisms to help engineer new ways of protecting qubits.

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Lipidomics – A Niche but Rapidly Growing Field

Article

Although researchers have been working on lipid biochemistry for many decades, lipidomics is a more recent, newly emerging discipline – with potential applications for diagnosing and preventing disease.

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Body Movements Not Needed To Learn Virtual Spaces

News

In a new study published in the journal Neuron, researchers have explored whether or not being able to physically move through virtual spaces improves how we learn them.

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Brain Computer Interfaces Without the Mess
News

It sounds like science fiction: controlling electronic devices with brain waves. But researchers have developed a new type of electroencephalogram (EEG) electrode that can do just that, without the sticky gel required for conventional electrodes. Even better, the devices work through a full head of hair.

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How Much Dark Matter in the Universe? AI May Have the Answer
News

Researchers have improved our standard methods for estimating the dark matter content of the universe through artificial intelligence, using cutting-edge machine learning algorithms for cosmological data analysis that have a lot in common with those used for facial recognition by Facebook and other social media.

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Operations of Highly-experienced Crystallographers Mimicked
News

A novel data analysis method for prior evaluation of single crystal structure analysis has been developed. Their proposed method is based on precise estimation of a parameter inherent in preliminary-collected small data set.

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Artificial Intelligence – Improving How We Diagnose Cancer

Article

AI has come a long way from its humble beginnings. With the advanced development of AI systems and machine learning, more significant medical applications for the technology are emerging. In this article, we explore how the field of cancer diagnosis is advancing hand-in-hand with AI.

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UK BioBank Project Is Taken to the Next Level by Sequencing 500,000 Genomes
Article

In a bid to push personalized medicine forward, an ambitious ground-breaking £200 million project will see the 500,000 BioBank participants' whole genomes sequenced.

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Automated, Reproducible Workflows Can Speed Up EM Image Analysis
Article

Electron microscopy (EM) image analysis can be an immensely useful process for researchers, but too often is also laborious and time-consuming. New software packages are changing that. We caught up with Laurent Billy, Director of Product Management, Applications Software at Thermo Fisher Scientific to find out more about the future of EM image analysis.

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Changing Course: Rethinking How AI Can Interpret X-Rays
Article

Can high-resolution images offer better accuracy in AI support for decision making than the standard low-resolution images used in most deep learning models today? The answer can help us understand the details that are critical for fine-tuning of all machine learning work, on all machines.

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