Biomedical and data scientists are being urged to join this monthâs CoronaHack to fast-track solutions that can help slow, monitor and diagnose the pandemic. The free online hackathon is being led by artificial intelligence consultancy, mindstream-ai.âYou will work collaboratively with top data scientists, biomedical researchers, vaccine specialists, startup founders and investors to develop innovative approaches to the current crisis,â the CoronaHack eventbrite page states.We are tracking information on online challenges, funding calls, and initiatives dedicated to tackling COVID-19. Sign up for our regular newsletters in the box below for all the latest on these and please share relevant details to colleagues and friends to help accelerate solutions....
At the end of March, I wrote about a preliminary study conducted by Stanford emergency physician Ian Brown, MD, that indicated that a significant number of people diagnosed with COVID-19 are also simultaneously co-infected with other respiratory viruses, including influenza or rhinovirus. "Currently, if a patient tests positive for a different respiratory virus, we believe that they don't have COVID-19," said Nigam Shah, MBBS, PhD, associate professor of medicine and of biomedical data science at the medical school. "However, given the co-infection rates we've observed in this sample, that is an incorrect assumption."Now Stanford emergency department physician James Quinn, MD, and resident David Kim, MD, PhD, together with clinical virologist Benjamin Pinsky, MD, PhD, have extended this analysis to include more than 1,200 samples, collected from people from multiple sites in Northern California who were experiencing a cough, fever or other symptoms of a respiratory infection. They published their results yesterday in JAMA....
April 02, 2020 - The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact of this virus.Researchers and developers are increasingly using artificial intelligence, machine learning, and natural language processing to track and contain coronavirus, as well as gain a more comprehensive understanding of the disease.In the months since COVID-19 hit the US, researchers have been hard at work trying to uncover the nature of the virus â why it affects some more than others, what measures can help reduce the spread, and where the disease will likely go next....
