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Synthetic surfactant could ease breathing for patients with lung disease and injury

Human lungs are coated with a substance called surfactant which allows us to breathe easily. When lung surfactant is missing or depleted, which can happen with premature birth or lung injury, breathing becomes difficult. In a collaborative study between Lawson Health Research Institute and Stanford University, scientists have developed and tested a new synthetic surfactant that could lead to improved treatments for lung disease and injury.

Lung surfactant is made up of lipids and proteins which help lower tension on the ’s surface, reducing the amount of effort needed to take a breath. The proteins, called surfactant-associated proteins, are very difficult to create in a laboratory and so the surfactant most commonly used in medicine is obtained from animal lungs.

London, Ontario has a rich legacy in surfactant research and innovation. Dr. Fred Possmayer, a scientist at Lawson and Western University, pioneered the technique used to purify and sterilize lung surfactant extracted from cows. Called bovine lipid extract surfactant (BLES), the therapeutic is made in London, Ontario and used by nearly all neonatal intensive care units in Canada to treat premature babies with respiratory distress.

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New Quantum Computer Milestone Would Make Richard Feynman Very Happy

A commercially available “quantum computer” has been on the market since 2011, but it’s controversial. The D-Wave machine is nothing like other quantum computers, and until recently, scientists have doubted that it was even truly quantum at all. But the company has released an important new result, one that in part realizes Richard Feynman’s initial dreams for a quantum computer.

Scientists from D-Wave announced they have simulated a large quantum mechanical system with their 2000Q machine—essentially a cube of connected bar magnets. The D-Wave can’t take on the futuristic, mostly non-physics-related goals that many people have for quantum computers, such as finding solutions in medicine, cybersecurity, and artificial intelligence. Nor does it work the same way as the rest of the competition. But it’s now delivering real physics results. It’s simulating a quantum system.

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How to predict the side effects of millions of drug combinations

An example graph of polypharmacy side effects derived from genomic and patient population data, protein–protein interactions, drug–protein targets, and drug–drug interactions encoded by 964 different polypharmacy side effects. The graph representation is used to develop Decagon. (credit: Marinka Zitnik et al./Bioinformatics)

Millions of people take up to five or more medications a day, but doctors have no idea what side effects might arise from adding another drug.*

Now, Stanford University computer scientists have developed a deep-learning system (a kind of AI modeled after the brain) called Decagon** that could help doctors make better decisions about which drugs to prescribe. It could also help researchers find better combinations of drugs to treat complex diseases.

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Human Trials Show a 30-Year-Old Heart Disease Drug Could Help Treat Type 1 Diabetes

Finger pricks and daily insulin injections are currently the leading regimen for those with type 1 diabetes, a condition in which the body’s insulin producing cells beta cells are destroyed. And it’s not foolproof.

Patients can often face risks over overcorrecting their blood sugar levels, which can potentially lead to hypoglycemia – low blood sugar – and coma.

Insulin is responsible for regulating the amount of sugar in the blood, and dysfunctions with it can cause diabetes.

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Australian experiment wipes out over 80% of disease-carrying mosquitoes

In an experiment with global implications, Australian scientists have successfully wiped out more than 80% of disease-carrying mosquitoes in trial locations across north Queensland.

The experiment, conducted by scientists from the Commonwealth Scientific and Industrial Research Organization (CSIRO) and James Cook University (JCU), targeted Aedes aegypti mosquitoes, which spread deadly diseases such as dengue fever and Zika.

In JCU laboratories, researchers bred almost 20 million mosquitoes, infecting males with bacteria that made them sterile. Then, last summer, they released over three million of them in three towns on the Cassowary Coast.

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