A new machine-learning method accurately identifies regions of the human genome that have been duplicated or deleted—known as copy number variants—that are often associated with autism and other neurodevelopmental disorders. ...
Jul 10, 2019
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A new algorithm can determine whether a patient is likely to have a cholesterol-raising genetic disease that can cause early, and sometimes fatal, heart problems, reports a new study conducted by researchers at the Stanford ...
Apr 11, 2019
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Researchers at EMBL-EBI have developed a new approach to studying the effect of multiple genetic variations on different traits. The new algorithm, published in Nature Methods, makes it possible to perform genetic analysis ...
Jun 16, 2015
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Thanks to machine learning algorithms, short pieces of DNA floating in the bloodstream of cancer patients can help doctors diagnose specific types of cancer and choose the most effective treatment for a patient.
Aug 2, 2023
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An artificial intelligence algorithm can determine non-invasively, with about 70 percent accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes, according to a new study from researchers ...
Dec 20, 2022
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Clonal hematopoiesis (CH) is a recently characterized condition in which the genetic mutations associated with leukemia and other blood cancers are found in the blood of individuals without cancer. This pre-cancerous state ...
Dec 13, 2022
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Scientists have made major advances in understanding and developing treatments for many cancers by identifying genetic mutations that drive the disease. Now a team led by researchers at Weill Cornell Medicine, NewYork-Presbyterian ...
May 10, 2021
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Like a cold front that moves in, setting the stage for severe weather, coronavirus infection triggers showers of infection-fighting immune molecules—showers that sometimes escalate into a chaotic immune response known as ...
Oct 19, 2020
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Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The ...
Jan 9, 2020
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The team under Professor Tom Lenaerts (VUB-ULB) of the IB² has developed an AI algorithm that makes it possible to identify combinations of genetic variants or abnormalities that cause rare diseases through computer analysis. ...
Jun 5, 2019
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