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Categories: Biology: Biotechnology, Mathematics: Statistics
Published Biologist gets the scoop on squash bug poop
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A discovery about how a common insect acquires a microbe that is essential for its growth may help in the control of an agricultural pest.
Published Noncoding DNA explains a majority of the heritability of dairy cattle traits, like milk production and fertility
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Regulatory genes -- genes that control how other genes are used -- are responsible for 69% of the heritability of dairy cattle traits such as milk production and fertility, according to a new study. This contribution is 44% more than expected and much higher than previous studies of regulatory genes in humans. The findings, reported by a team of animal and human geneticists, could improve the efficiency of agricultural breeding programs. The study also helps solve the longstanding mystery of why mammalian genomes contain so much noncoding DNA.
Published AI transformation of medicine: Why doctors are not prepared
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The success of artificial intelligence technologies depends largely on how physicians interpret and act upon a tool's risk predictions -- and that requires a unique set of skills that many are currently lacking, according to a new perspective article.
Published How good is that AI-penned radiology report?
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New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Breakthrough in Monte Carlo computer simulations
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Researchers have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials such as magnets whose atoms interact not only with their neighbors but also far beyond.
Published Efficient discovery of improved energy materials by a new AI-guided workflow
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Scientists have recently proposed a workflow that can dramatically accelerate the search for novel materials with improved properties. They demonstrated the power of the approach by identifying more than 50 strongly thermally insulating materials. These can help alleviate the ongoing energy crisis, by allowing for more efficient thermoelectric elements, i.e., devices able to convert otherwise wasted heat into useful electrical voltage.
Published Participating in genetic studies is in your genes
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Why do some people take part in genetic studies while others do not? The answer may lie within our genetic makeup. According to a groundbreaking study, people who participate in genetic studies are genetically more likely to do so, leaving detectable 'footprints' in genetics data. This breakthrough equips researchers with the ability to identify and address participation bias, a significant challenge in genetic research.
Published Number cruncher calculates whether whales are acting weirdly
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We humans can be a scary acquaintance for whales in the wild. This includes marine biologists tagging them with measuring devices to understand them better. These experiences can make whales behave erratically for a while. Such behaviour can affect research quality and highlights an animal ethics dilemma. Now, researchers have figured out how to solve the problems with math.
Published Geologists are using artificial intelligence to predict landslides
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Many factors influence where a landslide will occur, including the shape of the terrain, its slope and drainage areas, the material properties of soil and bedrock, and environmental conditions like climate, rainfall, hydrology and ground motion resulting from earthquakes. Geologists have developed a new technique that uses artificial intelligence to better predict where and why landslides may occur could bolster efforts to protect lives and property in some of the world's most disaster-prone areas. The new method improves the accuracy and interpretability of AI-based machine-learning techniques, requires far less computing power and is more broadly applicable than traditional predictive models.
Published Researchers develop digital test to directly measure HIV viral load
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A milliliter of blood contains about 15 individual drops. For a person with human immunodeficiency virus (HIV), each drop of blood could contain anywhere from fewer than 20 copies of the virus to more than 500,000 copies. Called the viral load, this is what is measured to allow clinicians to understand how patients are responding to anti-viral medications and monitor potential progression. The time-consuming viral load testing needs to be repeated several times as a patient undergoes treatment. Now, a research team has developed a time and cost-efficient digital assay that can directly measure the presence of HIV in single drop of blood.
Published Extinct warbler's genome sequenced from museum specimens
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The Bachman's warbler, a songbird that was last seen in North America nearly 40 years ago, was a distinct species and not a hybrid of its two living sister species, according a new study in which the full genomes of seven museum specimens of the bird were sequenced.
Published Drug decelerates bacterial race to antibiotic resistance
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Researchers report that, in laboratory cultures and animal models, a drug significantly reduces the ability of bacteria to develop antibiotic resistance, which might prolong antibiotic effectiveness.
Published Researcher uses pressure to understand RNA dynamics
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Just as space holds infinite mysteries, when we zoom in at the level of biomolecules (one trillion times smaller than a meter), there is still so much to learn. Scientists are studying the conformational landscapes of biomolecules and how they modulate cell function. When biomolecules receive certain inputs, it can cause the atoms to rearrange and the biomolecule to change shape. This change in shape affects their function in cells, so understanding conformational dynamics is critical for drug development.
Published The molecular control center of our protein factories
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Researchers have deciphered a biochemical mechanism that ensures that newly formed proteins are processed correctly when they leave the cell's own protein factories. This solves a decade-old puzzle in protein sorting.
Published The clue is in the glue -- Nature's secret for holding it together
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An obscure aquatic plant has helped to explain how plants avoid cracking up under the stresses and strains of growth.
Published Generative AI models are encoding biases and negative stereotypes in their users
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In the space of a few months generative AI models, such as ChatGPT, Google's Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.
Published Studying herpes encephalitis with mini-brains
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The herpes simplex virus-1 can sometimes cause a dangerous brain infection. Combining an anti-inflammatory and an antiviral could help in these cases, report scientists.
Published Unraveling the connections between the brain and gut
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Engineers designed a technology to probe connections between the brain and the digestive tract. Using fibers embedded with a variety of sensors, as well as optogenetic stimulation, the researchers could control neural circuits connecting the gut and the brain, in mice.
Published A roadmap for gene regulation in plants
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For the first time, researchers have developed a genome-scale way to map the regulatory role of transcription factors, proteins that play a key role in gene expression and determining a plant's physiological traits. Their work reveals unprecedented insights into gene regulatory networks and identifies a new library of DNA parts that can be used to optimize plants for bioenergy and agriculture.
Published Now, every biologist can use machine learning
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Scientists have built a new, comprehensive AutoML platform designed for biologists with little to no ML experience. New automated machine learning platform enables easy, all-in-one analysis, design, and interpretation of biological sequences with minimal coding. Their platform, called BioAutoMATED, can use sequences of nucleic acids, peptides, or glycans as input data, and its performance is comparable to other AutoML platforms while requiring minimal user input.