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First-of-Its-Kind Platform Provides Resource for Childhood Cancer Research

A new research collaboration paves the way for new models to accelerate discoveries.
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Algorithm Helps Track Migratory Bats for the First Time

For the first time ever, researchers can track the movements of bats with the help of a brand new algorithm utilising radar technology.
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AI System Predicts Effects of Gene Modifications

Researchers are using artificial intelligence to help them understand how large networks of interconnected human genes control the function of cells, and how disruptions in those networks cause disease.
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AI Tool Can Help Spot "Invisible" Brain Damage in College Athletes

An artificial intelligence program was able to accurately identify changes in brain structure resulting from repeated head injury by processing MRI results.
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AI Framework Could Lead to Better, More Potent Medicines

While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development process.
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Wearable Parkinson’s Monitor Uses AI To Detect Symptoms

Study shows wearable Parkinson’s monitor, which uses machine learning to detect and assess motor symptoms, is more than 95% accurate when compared to expert evaluation.
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Microbes Are Essential for Determining How Much Carbon Is Stored in the Soil

Microbes are by far the most important factor in determining how much carbon is stored in the soil, which has implications for mitigating climate change and improving soil health for food production.
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AI Can Diagnose Five Subtypes of Heart Failure

Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study.
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Deep Learning Aids Development of Super-Resolution Ultrasound

Researchers at the Beckman Institute for Advanced Science and Technology used deep learning to develop a new framework for super-resolution ultrasound.
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How Science Can Choose Less Stigmatizing Language

Word choice matters—a lot— when it comes to research. That's the conclusion of a new study that analyzed HIV-related stigmatizing language published in scientific literature from 2010 to 2020.
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