UCLA researchers have developed an artificial intelligence system that could help pathologists read biopsies more accurately and to better detect
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AI reveals new breast cancer types that respond differently to treatment: Revelations could personalize treatment, including picking out those likely to benefit from immunotherapy
Scientists have used artificial intelligence to recognise patterns in breast cancer — and uncovered five new types of the disease
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Painting a fuller picture of how antibiotics kill: Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance
Most antibiotics work by interfering with critical functions such as DNA replication or construction of the bacterial cell wall. However,
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Scientists find link between digital media use and depression in Chinese adolescents
Adolescents in China who either spend more time on screen activities, such as watching TV or surfing the Web, or
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‘Doing science,’ rather than ‘being scientists,’ more encouraging to girls
Asking young girls to “do science” leads them to show greater persistence in science activities than does asking them to
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Artificial intelligence system learns to diagnose, classify intracranial hemorrhage: System able to ‘explain’ reasons behind decisions based on CT scan images
A team of investigators from the Massachusetts General Hospital (MGH) Department of Radiology has developed a system using artificial intelligence
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What your cell phone camera tells you about your brain: Research unites cognitive science and information theory
Driving down a dark country road at night, you see a shape ahead on the roadside. Is it a deer
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Optical neural network demo
Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely
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Man against machine: AI is better than dermatologists at diagnosing skin cancer
Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep
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New method for finding disease-susceptibility genes
A new study, affiliated with UNIST has recently presented a novel statistical algorithm, capable of identifying potential disease genes in
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