Prescriptions for multiple drugs, or polypharmacy, is often recommended for the treatment of complex diseases. However, upon ingestion, multiple drugs may interact in an undesirable manner, resulting in severe adverse effects ...
May 4, 2022
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Neuroscientists from St. Petersburg University, led by Professor Allan V. Kalueff, in collaboration with an international team of IT specialists, have become the first in the world to apply the artificial intelligence (AI) ...
Apr 14, 2022
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Machine learning can use electronic health record (EHR) data to predict colorectal cancer (CRC) risk in adults 35 to 50 years of age, according to a study published online March 10 in PLOS ONE.
Mar 22, 2022
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Astrocytes form large networks of interconnected cells in the central nervous system. When these cell-to-cell couplings are disrupted in the brain of adult mice, the animals are no longer able to store spatial information. ...
Mar 8, 2022
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When it comes to treatment strategies for critically ill patients, clinicians want to be able to consider all their options and timing of administration, and make the optimal decision for their patients. While clinician experience ...
Feb 25, 2022
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Researchers from Tokyo Metropolitan University have performed numerical simulations based on network theory which show how numbers of infections in a pandemic change when a new variant emerges. They found a non-linear dependence ...
Feb 21, 2022
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The study, led by Professor Per Uhlén, presents a model and mechanism for how the risk gene CACNA1C can affect brain function and the risk of psychiatric illness.
Feb 15, 2022
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Developing new drugs is a difficult process. With the aid of artificial intelligence, Pharmaceutical scientist Xuhan Liu has developed methods that can help make drug design cheaper and faster. His Ph.D. defense is on 15 ...
Feb 9, 2022
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Researchers from the Singapore University of Technology and Design (SUTD) have shown that deep learning models can accurately distinguish between healthy and sick children using only their cough sounds. These findings, published ...
Jan 20, 2022
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New data published today suggest that several commonly used machine learning algorithms (MLAs) can effectively predict which hospitalized patients will become infected with Clostridiodes difficile (C. diff). The findings, ...
Jan 20, 2022
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