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Jun 5, 2019
Creating Thymus Organoids Using Tissue Engineering
Posted by Steve Hill in categories: bioengineering, biotech/medical, life extension
Today, we wish to highlight a new open access publication in which the researchers take a novel approach to the regeneration of the thymus, a small but vitally important organ that is key to our immune system.
The thymus shrinks as we age
The thymus is one of the most important organs in the body, and it is where thymocytes produced in the bone marrow travel to become new T cells before being trained in the lymph nodes to become the defenders of the adaptive immune system. However, as we get older, the thymus increasingly turns to fat and starts to shrink, causing its ability to produce new T cells to fall dramatically. This process is known as thymic involution and actually begins shortly after puberty, so this is one aspect of aging that begins fairly early in life, although it is many decades later before its decline causes serious health issues.
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Jun 5, 2019
Death redefined: how pig brain function was restored after slaughter
Posted by Genevieve Klien in category: neuroscience
Brain death isn’t the end… at least, not for the slaughtered pigs who had their brains revived, thanks a new technique.
Jun 5, 2019
Chinese scientists find 5 million tons of lithium deposits in Yunnan
Posted by Genevieve Klien in category: chemistry
Chinese scientists have found a major lithium deposit in Southwest China’s Yunnan Province, estimated to contain more than 5 million tons.
There are approximately 40 million tons of proven lithium reserves in the world, the Xinhua News Agency’s Globe magazine reported.
A team led by research fellow Wen Hanjie from the Institute of Geochemistry under the Chinese Academy of Sciences found 340,000 tons of lithium oxide in a test site in central Yunnan.
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Jun 5, 2019
3D magnetic interactions could lead to new forms of computing
Posted by Genevieve Klien in category: computing
A new form of magnetic interaction which pushes a formerly two-dimensional phenomenon into the third dimension could open up a host of exciting new possibilities for data storage and advanced computing, scientists say.
Jun 5, 2019
‘Iron Man’ actor Robert Downey Jr. has vowed to use robotics and AI to significantly clean up the Earth in the next decade
Posted by Genevieve Klien in categories: biotech/medical, robotics/AI, space
Robert Downey Jr. doesn’t pretend to be a brilliant scientist — even though he’s played Tony Stark, aka Iron Man, for the past 11 years.
But on Tuesday night he attended Amazon’s brand new, premier, open-to-the-public Machine Learning, Automation, Robotics and Space (re: MARS) conference in Las Vegas — a room filled with AI legends, astronauts, and other dignitaries — as a keynote speaker.
He delivered a gag-filled talk that somehow weaved together the history of the Marvel Cinematic Universe, the evolution of Stark’s Iron Man suits, allusions to his own troubled history with drug addiction, the actual history of artificial intelligence and its pioneers, with a bunch of jokes using the Amazon Alexa voice and Matt Damon (including a videotaped guest appearance by Damon).
Jun 5, 2019
Can Gene Editing Stop The Bird Flu? Here Is The Latest With Chickens
Posted by Genevieve Klien in categories: bioengineering, biotech/medical
This study shows how CRISPR gene editing can make chicken cells resistant to the avian influenza virus.
Jun 5, 2019
Internet shutdowns don’t make anyone safer
Posted by Genevieve Klien in category: internet
Jun 5, 2019
Deep learning techniques teach neural model to ‘play’ retrosynthesis
Posted by Genevieve Klien in categories: biotech/medical, engineering, robotics/AI, sustainability
Researchers, from biochemists to material scientists, have long relied on the rich variety of organic molecules to solve pressing challenges. Some molecules may be useful in treating diseases, others for lighting our digital displays, still others for pigments, paints, and plastics. The unique properties of each molecule are determined by its structure—that is, by the connectivity of its constituent atoms. Once a promising structure is identified, there remains the difficult task of making the targeted molecule through a sequence of chemical reactions. But which ones?
Organic chemists generally work backwards from the target molecule to the starting materials using a process called retrosynthetic analysis. During this process, the chemist faces a series of complex and inter-related decisions. For instance, of the tens of thousands of different chemical reactions, which one should you choose to create the target molecule? Once that decision is made, you may find yourself with multiple reactant molecules needed for the reaction. If these molecules are not available to purchase, then how do you select the appropriate reactions to produce them? Intelligently choosing what to do at each step of this process is critical in navigating the huge number of possible paths.
Researchers at Columbia Engineering have developed a new technique based on reinforcement learning that trains a neural network model to correctly select the “best” reaction at each step of the retrosynthetic process. This form of AI provides a framework for researchers to design chemical syntheses that optimize user specified objectives such synthesis cost, safety, and sustainability. The new approach, published May 31 by ACS Central Science, is more successful (by ~60%) than existing strategies for solving this challenging search problem.
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