Explore life sciences with Wolfram Language Demonstrations, Function Repository, Q&As, Community posts and more, at any skill level. Research computational biology and find your computational X.
Explore life sciences with Wolfram Language Demonstrations, Function Repository, Q&As, Community posts and more, at any skill level. Research computational biology and find your computational X.
Life in the universe: everywhere or nowhere?
Posted on Big Think, direct link at https://www.searchforlifeintheuniverse.com/post/a-new-take-o…he-aliens?
Posted in futurism
Are you a caregiver? If so, you may have to help with cooking, paying bills, and more. Learn about caregiving and how to find support for yourself.
People with unusually thin retinas are at greater risk of later developing bronchitis and other conditions, suggesting retinal scans could eventually become a component of routine health screening.
New research links mutation rates and lifespan. We visualize the data supporting this new framework for understanding cancer.
Pimax creates the world’s first ultra-high-definition VR headset with twice the pixel count of PlayStation VR2. Find out the interesting details here.
Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhDDiscount Links: Telomere, Epigenetic Testing: https://trudiagnostic.com/?irclickid=U-s3Ii2r7x…
But then Santamaria, who is at the University of Calgary in Canada, came up with a bold idea. Maybe he could use these particles as a therapy to target and quiet, or even kill, the cells responsible for driving the disease — those that destroy insulin-producing islet cells in the pancreas. It seemed like a far-fetched idea, but he decided to try it. “I kept doing experiment after experiment,” he says. Now, more than two decades later, Santamaria’s therapy is on the cusp of being tested in people.
It’s not alone. Researchers have been trying for more than 50 years to tame the cells that are responsible for autoimmune disorders such as type 1 diabetes, lupus and multiple sclerosis. Most of the approved therapies for these conditions work by suppressing the entire immune response. This often alleviates symptoms but leaves people at elevated risk of infections and cancers.
But for decades, immunologists have hoped to restore what’s known as tolerance — the immune system’s ability to ignore antigens that belong in the body while appropriately attacking those that don’t. In some cases, that means administering the very antigens that the rogue cells are trained to attack, a strategy that can deprogram the cells and dampen the autoimmune response. Other researchers are trying to selectively wipe out the problematic cells, or to introduce suppressive immune cells that have been engineered to target them. One approach that relies on engineered immune cells was used to treat 15 people with lupus or other immune disorders with surprising success1. One participant has been symptom-free for more than two and a half years.
Artificial intelligence (AI) has become an indispensable component in the analysis of microscopic data. However, while AI models are becoming better and more complex, the computing power and associated energy consumption are also increasing.
Researchers at the Leibniz-Institut für Analytische Wissenschaften (ISAS) and Peking University have therefore created a free compression software that allows scientists to run existing bioimaging AI models faster and with significantly lower energy consumption.
The researchers have presented their user-friendly toolbox, called EfficientBioAI, in an article published in Nature Methods.