Typically, data scientists use deep learning to pick out drug combinations with large existing datasets for things like cancer and cardiovascular disease, but they can’t be used for new illnesses with limited data. Oftentimes, the data needs time to catch up, as has been the case with the COVID-19 pandemic. Medical Xpress brought this news to us in their article, “Deep learning helps predict new drug combinations to fight COVID-19.“
Deep learning is now widely used in all aspects of COVID-19 research aimed at controlling the ongoing pandemic and identifying treatment options. Several deep learning algorithms for detection of COVID-19 pneumonia in CT scans have been proposed. It is evident that deep learning can play an important role in the detection and classification of COVID-19 in radiological imaging. In addition, using deep learning for segmentation of COVID-19 lung lesions can also be clinically useful. So using the same technology for identifying appropriate treatment regimes make sense.
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