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Applying Deep Learning Architectures to de novo Molecular Drug Design

Video

Dr Ola Engkvist, AstraZeneca, outlines how deep learning architectures are being applied to drug discovery.

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Signals Notebook: Finally More Time For Science

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PerkinElmer Signals Notebook allows you to achieve meaningful scientific breakthroughs – faster and smarter.

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Stunning Images from Microscopy

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Download this image gallery to see how a variety of techniques have been used to capture stunning images of the world beyond the naked eye.

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A Novel Epstein-Barr Virus-specific T Cell Therapy for Progressive MS

A Novel Epstein-Barr Virus-specific T Cell Therapy for Progressive MS

News

Mounting evidence shows that Epstein-Barr virus (EBV) plays a role in the pathology of multiple sclerosis. Consequently, an EBV-specific T Cell therapy has been developed to combat MS, and initial clinical trial results are promising.

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Machine Learning Models Help Predict Which Patients Need A&E
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Machine learning – a field of artificial intelligence that uses statistical techniques to enable computer systems to ‘learn’ from data – can be used to analyse electronic health records and predict the risk of emergency hospital admissions, a new study from The George Institute for Global Health at the University of Oxford has found.

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Using Big Data to Reduce the Risk of Stroke
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People with irregular and abnormally fast heart rates caused by a condition called atrial fibrillation could be at a greater risk of stroke and bleeding because they are not receiving optimal treatment, warn scientists from UCL and The University of Hong Kong (HKU).

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Skype Helps Beat the Blues
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Social isolation and depression have become commonplace in older adults, with estimates suggesting almost 5 percent of adults aged 50 and above lived with major depression in 2015. What if you could address the problem through communication technology?

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Artificial Intelligence, Real Solutions: How AI Can Accelerate Drug Discovery

Artificial Intelligence, Real Solutions: How AI Can Accelerate Drug Discovery

Article

The rate at which new drugs are discovered is in decline, and computer-aided drug design has not produced the radical change in the success of candidate drugs the pharma industry anticipated. Artificial intelligence (AI)-based approaches are the new hope for revolutionizing the drug discovery process. But are these, as computer-aided drug design was, an over-hyped time bomb waiting to be found out? Or is it truly a revolution on the cusp of realizing its promise?

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Emerging Classes of Next-generation Biotherapeutics
Article

We are entering uncharted territory in biopharmaceutical development. Emerging new classes of treatments are harnessing the natural power of viruses and cells and engineering them to fight human diseases. As our arsenal of conventional therapies begins to fail, a new army of biotherapeutics is on the horizon. Here, we look at two new classes of treatments leading the charge.

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What Does a Big-Storage Future Look Like in HPC?
Article

Samsung's recent announcement of 30TB drives is part of a wider trend within high-performance computing (HPC) towards big storage. But, as HPC consultant Laurence Horrocks-Barlow writes, these huge storage capacities present unique challenges and opportunities for organizations on a budget.

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Using Supercomputers to Predict Dispersal of Chemicals and Pollutants
Article

Motivated by a deadly chemical attack in Syria, researchers at the University of Texas at San Antonio are pursuing research that may help save lives during an airborne chemical attack. The team used the Stampede2 supercomputer and innovative computer simulation models to replicate the dispersion of the chemical gas released in the Syrian event, which may help improve evacuation speed during future attacks.

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