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Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret coherent excitations, collective swinging of atomic spins within a system.

This groundbreaking research, published recently in Nature Communications, could make experiments more efficient, providing real-time guidance to researchers during data collection, and is part of a project led by Howard University including researchers at SLAC and Northeastern University to use machine learning to accelerate research in materials.

The team created this new data-driven tool using “neural implicit representations,” a machine learning development used in computer vision and across different scientific fields such as medical imaging, particle physics and cryo-electron microscopy. This tool can swiftly and accurately derive unknown parameters from experimental data, automating a procedure that, until now, required significant human intervention.

NIH-supported research finds key differences between children & adults with COVID-19.

AI is so energy-hungry that most data analysis must be performed in the cloud New energy-efficient device enables AI tasks to be performed within wearables This allows real-time analysis and diagnostics for faster medical interventions Researchers tested the device by classifying 10,000 ele.

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Hello and welcome! My name is Anton and in this video, we will talk about an invention of a DNA bio computer.
Links:
https://www.nature.com/articles/s41586-023-06484-9
https://www.washington.edu/news/2016/04/07/uw-team-stores-di…perfectly/
Other videos:
https://youtu.be/x3jiY8rZAZs.
https://youtu.be/JGWbVENukKc.

#dna #biocomputer #genetics.

Continue reading “So…Biocomputers Made Out of DNA Circuits May Be a Thing Now” »

While it is well known that certain brain regions play a crucial role in memory processes, so far it has not been clear whether these regions exhibit different activities when it comes to storing information in people with better or worse memory performance.

Having investigated this matter, a research team led by Professor Dominique de Quervain and Professor Andreas Papassotiropoulos has now published its results in the journal Nature Communications.

In the world’s largest functional imaging study on memory, they asked nearly 1,500 participants between the ages of 18 and 35 to look at and memorize a total of 72 images. During this process, the researchers recorded the subjects’ brain activity using MRI. The participants were then asked to recall as many of the images as possible – and as in the general population, there were considerable differences in memory performance among them.

Relief could be on the way for people with painful hand osteoarthritis after a Monash University and Alfred Health-led study found an affordable existing drug can help. Until now there has been no effective treatment.

Published in The Lancet, the paper investigated methotrexate, a low-cost, effective treatment for inflammatory joint conditions such as rheumatoid arthritis and psoriatic arthritis. It has been widely used in Australia and globally since the early 1980s.

Researchers found that methotrexate reduced symptoms in those with hand osteoarthritis (OA). A 20mg weekly oral dose over six months had a moderate effect in reducing pain and stiffness in patients with symptomatic hand OA.

🥼 Researchers from the Netherlands Institute for Neuroscience and the VIB-KU Leuven Center for Brain and Disease Research have shown that microRNA-132 can significantly affect different brain cells, with potential implications for Alzheimer’s disease ✔️

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Research shows that microRNA-132 can significantly affect different brain cells, with potential implications for Alzheimer’s disease. Find out more.

Continue reading “Honey, I Shrunk the Molecules” »

The research paper explores the multifaceted role of the IL-17 family in immune response, covering everything from infection control to pathological conditions like autoimmune diseases and cancer. Future therapies may exploit IL-17’s unique signaling pathways to offer more targeted and cost-effective treatments.

A team of atmospheric scientists, chemists and infectious disease specialists at the Max Planck Institute for Chemistry, working with colleagues from the Max Planck Institute for Dynamical Systems, the University of Denver, Georg August University and St. Petersburg State University, has embarked on an effort to collate publicly available information on droplet properties, such as the way they are distributed by size, their composition, and the ways they are emitted, as a means of helping to develop mitigation strategies for fighting infectious agents.

In their paper published in the journal Reviews of Modern Physics, the group describes their collating process and why they believe it could help fight non-contact infectious diseases.

In the early days of the pandemic, as people around the world locked themselves inside their residences, scientists, including those not in the medical field, looked for ways to help. One such pair of researchers, Christopher Pöhlker, an atmospheric scientist, and his wife, Mira, a cloud scientist, began to wonder about the nature of droplet size—something related to both their fields of work.