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| November 26, 2018 | |
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| The latest artificial intelligence in healthcare news from News Medical | |
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| Discover How AI is Driving Innovations in Medical Imaging
In this whitepaper, learn how Artificial Intelligence (AI) is rapidly evolving in the healthcare industry and serves as an important diagnostic tool when used by experienced medical experts. Using AI in medical imaging can help with the detection of diseases, monitoring of treatment, and predicting outcomes - all essential components of effective patient care.
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| The findings, which are being presented today at the annual meeting of the Radiological Society of North America, point towards the possibility of performing MRI scans without trace amounts of the contrast agent being left behind in the body. | |
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| Researchers at Carnegie Mellon University have found a new and efficient way to characterize cell types following single-cell RNA sequencing (scRNA-seq). The new method involves the use of neural networks and supervised machine learning techniques rather than marker genes, which are not available for all cell types. | |
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| Drug development is a costly and often fruitless process. Many of the drugs initially investigated are not brought to clinical trial, and many after that are not approved by the FDA or other similar boards. | |
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| Artificial intelligence, or AI, constitutes machine learning and deep learning, which enables computers to learn without being explicitly programmed every step of the way. This type of technology has shown to be very useful in life science industries, such as by sorting different types of cancer cells in laboratories. | |
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