A universal cure for cancer would be a truly historic achievement in medicine, and it seems that scientists may have found it… by accident.
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A Stanford University-led research team has set a new Guinness World Record for the fastest DNA sequencing technique using AI computing to accelerate workflow speed.
The research, led by Dr Euan Ashley, professor of medicine, genetics and biomedical data science at Stanford School of Medicine, in collaboration with Nvidia, Oxford Nanopore Technologies, Google, Baylor College of Medicine, and the University of California, achieved sequencing in just five hours and two minutes.
The study, published in The New England Journal of Medicine, involved speeding up every step of genome sequencing workflow by relying on new technology. This included using nanopore sequencing on Oxford Nanopore’s PromethION Flow Cells to generate more than 100 gigabases of data per hour, and Nvidia GPUs on Google Cloud to speed up the base calling and variant calling processes.
Scientists from Durham University and Kings College London have presented a theoretical review in a new study strongly supporting the search for axion dark matter.
The identity of dark matter, which makes up 85% of the matter in the universe, is one of the big unanswered questions in particle physics.
Scientists know of its existence because of its gravitational pull effects on stars and galaxies but what kind of particle it is, still remains a mystery.
Dark matter is one of the biggest mysteries in the universe. Scientists have not yet observed dark matter directly. But, studies have confirmed its existence due to its gravitational pull effects on stars and galaxies. However, what kind of particle it remains elusive.
In a new study, scientists examined how axions can be described mathematically. They then presented how they relate to the fundamental symmetries of the Standard Model of particle physics.
Scientists from Durham University and Kings College London have presented a theoretical review in a new study strongly supporting the search for axion dark matter.
Converting the nation’s 40 million acres of ethanol corn farms into solar-plus-food facilities would generate 1.5 times our nation’s electricity needs, while also powering a 100% electrified passenger vehicle fleet.
The world continues to undercount COVID-19 cases and deaths. Seen here is a mass cremation in New Delhi.
Death count of 6 million is likely three times less than the actual number. Case count of 456 million could be 5 to 20 times higher.
You can see the galaxies warping in three dimensions.
— The best Hubble Space Telescope images of all time! — Hubble eyes two stunning galaxies before future James Webb Space Telescope observations — Distant galaxies appear to overlap in new Hubble telescope image
It’s also fortunate that the instrument took this image in visible light. Both IC 1,559 and NGC 169 have active galactic nuclei (AGN), meaning their cores are “monumentally energetic,” per NASA. In other words, they have supermassive black holes expelling vast quantities of energy in the full range of the electromagnetic spectrum.
Researchers at North Carolina State University have developed a new computational tool that allows users to conduct simulations of multi-functional magnetic nanoparticles in unprecedented detail. The advance paves the way for new work aimed at developing magnetic nanoparticles for use in applications from drug delivery to sensor technologies.
“Self-assembling magnetic nanoparticles, or MNPs, have a lot of desirable properties,” says Yaroslava Yingling, corresponding author of a paper on the work and a Distinguished Professor of Materials Science and Engineering at NC State. “But it has been challenging to study them, because computational models have struggled to account for all of the forces that can influence these materials. MNPs are subject to a complicated interplay between external magnetic fields and van der Waals, electrostatic, dipolar, steric, and hydrodynamic interactions.”
Many applications of MNPs require an understanding of how the nanoparticles will behave in complex environments, such as using MNPs to deliver a specific protein or drug molecule to a targeted cancer affected cell using external magnetic fields. In these cases, it is important to be able to accurately model how MNPs will respond to different chemical environments. Previous computational modeling techniques that looked at MNPs were unable to account for all of the chemical interactions MNPs experience in a given colloidal or biological environment, instead focusing primarily on physical interactions.
The Apollo missions to the Moon brought a total of 2,196 rock samples to Earth. But NASA has only just started opening one of the last ones, collected 50 years ago.
For all that time, some tubes were kept sealed so that they could be studied years later, with the help of the latest technical breakthroughs.
NASA knew “science and technology would evolve and allow scientists to study the material in new ways to address new questions in the future,” Lori Glaze, director of the Planetary Science Division at NASA Headquarters, said in a statement.
A recent paper tries to quantify the ability of neural networks to generalized abstract concepts.
