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Hope on the horizon:

1. Researcher make a breakthrough: Professor Katherine Kedzierska leads research at the Peter Doherty Institute for Infection and Immunity that discovers how the human body overcomes coronavirus.

Melbourne researchers have mapped immune responses from one of Australia’s first novel coronavirus (COVID-19) patients, showing the body’s ability to fight the virus and recover from the infection.

Lead researcher Professor Kedzierska (Microbiology and Immunology) said the antibodies released by the human immune system to overcome coronavirus are very similar to those it uses to combat influenza — despite it never having being exposed to the disease.

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A preprint of a study conducted by researchers from Utrecht University, in collaboration with Erasmus MC and Harbor BioMed, outlines the first report of a human monoclonal antibody that can block SARS-CoV-2.

Understanding antibodies: Terms and definitions

Antibodies are proteins that are produced by certain cells of the immune system known as B cells. They are able to bind to “foreign” material that tries to invade the body, such as pathogens, and directly neutralize them or trigger an immune response. This is achieved by binding of the antibody to an antigen, a specific molecule present on the pathogen.

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While most electric cars already travel further per charge than most people need them to on a daily basis, there’s still a massive hunt to find the longest-range, cheapest, longest-life battery pack possible for future generations of EVs.

We’ve known for a while that solid-state technology is likely to play a massive part in next-generation electric cars — but exactly what the make up of those solid-state batteries will be is still unknown.

Earlier today though, Samsung announced a new battery breakthrough that it says will make it possible to build a solid-state battery pack capable of more than 800-miles per charge while halving the physical battery size compared to today’s battery packs.

Continue reading “Has Samsung Found The Holy Grail Of Solid State Batteries?” | >

Now, in an important new resource for the scientific community published today in Nature Biotechnology, researchers in the lab of Neville Sanjana, PhD, at the New York Genome Center and New York University have developed a new kind of CRISPR screen technology to target RNA.

The researchers capitalized on a recently characterized CRISPR enzyme called Cas13 that targets RNA instead of DNA. Using Cas13, they engineered an optimized platform for massively-parallel genetic screens at the RNA level in human cells. This screening technology can be used to understand many aspects of RNA regulation and to identify the function of non-coding RNAs, which are RNA molecules that are produced but do not code for proteins.

By targeting thousands of different sites in human RNA transcripts, the researchers developed a machine learning-based predictive model to expedite identification of the most effective Cas13 guide RNAs. The new technology is available to researchers through an interactive website and open-source toolbox to predict guide RNA efficiencies for custom RNA targets and provides pre-designed guide RNAs for all human protein-coding genes.

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On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history.

Directed by Greg Kohs with an original score by Academy Award nominee, Hauschka, AlphaGo chronicles a journey from the halls of Oxford, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about humanity?

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The race toward the first practical quantum computer is in full stride. Companies, countries, collaborators, and competitors worldwide are vying for quantum supremacy. Google says it’s already there. But what does that mean? How will the world know when it’s been achieved?

Using , at PNNL have set a mark that a quantum system would need to surpass to establish quantum supremacy in the realm of chemistry.

That’s because the fastest classical computers available today are getting better and better at simulating what a quantum computer will eventually be expected to do. To prove itself in the real world, a quantum computer will need to be able to outdo what a fast supercomputer can do. And that’s where the PNNL-led team have set a benchmark for quantum computers to beat.

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