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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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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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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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Making AI Less Biased

Making AI Less Biased

News

With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions. A new approach out of MIT demonstrates that the main culprit is not just the algorithms themselves, but how the data itself is collected.

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AI Predicts Treatment Effectiveness
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A new AI method developed by Finnish researchers now provides answers about treatment effectiveness. Using modelling, the method makes it possible to compare different treatment alternatives and to identify patients who will benefit from treatment.

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AI-Capnograph Distinguishes Between Emphysema and Heart Failure
News

By analyzing carbon dioxide in the breath, an algorithm could help determine how to treat patients.

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Machine-learning System Could Aid Critical Decisions in Sepsis Care
News

This predictive model could guide clinicians in deciding when to give potentially life-saving drugs to patients being treated for sepsis in the emergency room.

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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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Care in the Community – How Biofilms Improve Bacterial Survival
Article

A single bacterial cell on its own is vulnerable to attack and like many living things they can benefit from safety in numbers. But bacteria take communal living to a whole new level, forming veritable civilizations - the bacterial biofilm.

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Antigenic Drift vs Antigenic Shift
Article

As part of the host-pathogen arms race, viruses are continually evolving to evade the host immune response, be it from previous infection or immunity acquired through vaccination. Here we take a look at the processes of antigenic drift and antigenic shift.

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Healthcare Interoperability Woes: Three Solutions that Create Optimism
Article

Healthcare interoperability remains an intractable problem; both healthcare providers and patients feel unease about limited access to medical data, which results in lower care quality and poor patient engagement. Although daunting, these challenges aren’t insurmountable. In this feature, we’ll explore what has been and what could be done to foster the creation of an interoperable infrastructure.

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