Researchers use Artificial Intelligence to Predict Cardiovascular Disease

Researchers use artificial intelligence to predict cardiovascular disease
Study design, workflow, and bioinformatics. Overall research methodology includes, (1) clinical data analysis; (2) cohort building; (3) cardiovascular disease-based sample collection; (4) sample management and tracking; (5) RNA extraction, and high-throughput sequencing; (6) pipeline and bioinformatics application development for RNA-seq data processing, quality checking, gene-disease annotation, and phenotyping; and (7) implementation of artificial intelligence and machine learning techniques for predictive analysis. Credit: Genomics (2023). DOI: 10.1016/j.ygeno.2023.110584

Researchers may be able to predict cardiovascular disease — such as arterial fibrillation and heart failure — in patients by using artificial intelligence (AI) to examine the genes in their DNA, according to a new ...

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Breakthrough in Tin-Vacancy Centers for Quantum Network Applications

Breakthrough in tin-vacancy centers for quantum network applications
Credit: Tokyo Tech

Quantum entanglement refers to a phenomenon in quantum mechanics in which two or more particles become linked such that the state of each particle cannot be described independently of the others, even when they are separated by a large distance. The principle, referred to by Albert Einstein as “spooky action at a distance,” is now utilized in quantum networks to transfer information. The building blocks of these networks—quantum nodes—can generate and measure quantum states.

Among the candidates that can function as quantum nodes, the Sn-V center in diamond (a defect where a tin (Sn) atom replaces a carbon atom, resulting in an interstitial Sn atom between two carbon vacancies) has been shown to have suitable properties for quantum network applications.

The...

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How one of Saturn’s Moons Ejects Particles from Oceans Beneath its Surface

Enceladus, the sixth largest of Saturn’s moons, is known for spraying out tiny icy silica particles — so many of them that the particles are a key component of the second outermost ring around Saturn. Scientists have not known how that happens or how long the process takes. A study now shows that tidal heating in Enceladus’ core creates currents that transport the silica, which is likely released by deep-sea hydrothermal vents, over the course of just a few months.

Although it is relatively small, Enceladus — the sixth largest of Saturn’s 83 moons — has been considered by astronomers to be one of the more compelling bodies in our solar system.

Enceladus stands apart from other celestial bodies because of both its appearance and its behavior...

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Impact of Key Alzheimer’s Protein depends on type of Brain Cell in which it is produced

Scientists Yadong Huang and Nicole Koutsodendris looking at a monitor in the lab at Gladstone Institutes
Yadong Huang and his team demonstrated in mice that the ApoE4 protein from neurons plays a much bigger disease-driving role in Alzheimer’s than previously thought.

Of all the known genetic risk factors for late-onset Alzheimer’s disease, the strongest is a gene for the protein called ApoE4. People with one copy of this gene are 3.5 times more likely, on average, to develop Alzheimer’s than others, and those with two copies face a 12-fold increased risk. However, exactly how ApoE4 boosts the risk of Alzheimer’s remains unclear.

Multiple types of cells in the brain make ApoE4—some of it is produced by neurons, but other brain cells called glia make it in higher quantities. For that reason, most prior research on this protein has focused on ApoE4 from glia.

Now, researchers at G...

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