Refining Breast Cancer Classification by Multiplexed Imaging
Breast cancer progression can vary significantly between patients. Even within the same tumor, different areas may be composed of different types of cells and characterized by different tumor structures. This heterogeneity makes it challenging to ascertain the severity of a tumor and assess its molecular subtype, thereby affecting the precision of diagnosis and the choice of the most effective treatment approach.
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Edible 'Security Tag' to Protect Drugs from Counterfeit
Manufacturing prescription drugs with distinct markings, colors, shapes or packaging isn't enough to protect them from counterfeiting, U.S. Drug Enforcement Administration reports have shown. Purdue University researchers are aiming to stump counterfeiters with an edible "security tag" embedded into medicine.
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Man versus Machine: Can AI do Science?
Over the last few decades, machine learning has revolutionised many sectors of society, with machines learning to drive cars, identify tumors and play chess - often surpassing their human counterparts. Now, a team of scientists based at the Okinawa Institute of Science and Technology Graduate University (OIST), the University of Munich and the CNRS at the University of Bordeaux have shown that
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Artificial Intelligence (AI) can Detect Low-Glucose Levels via ECG without Fingerpick Test
A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has been made by researchers from the University of Warwick.
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Smartphone Cameras can Speed Up Urinary Tract Infection Diagnosis
Biological Engineers at the University of Bath have developed a test that could help medics quickly diagnose urinary tract infections (UTIs), using a normal smartphone camera. Similar in principle to a pregnancy test, the process can identify the presence of harmful E. coli bacteria in a urine sample in just 25 minutes.
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In this age of "big data," artificial intelligence (AI) has become a valuable ally for scientists. Machine learning algorithms, for instance, are helping biologists make sense of the dizzying number of molecular signals that control how genes function. But as new algorithms are developed to analyze even more data, they also become more complex and more difficult to interpret.
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MRI Predict Intelligence Levels in Children?
A group of researchers from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) took 4th place in the international MRI-based adolescent intelligence prediction competition. For the first time ever, the Skoltech scientists used ensemble methods based on deep learning 3D networks to deal with this challenging prediction task.
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