While many physicians benefit from social media by networking with potential collaborators or interfacing with patients, a new study from Northwestern University and the University of Chicago found many physicians also report being sexually harassed and personally attacked on these platforms on the basis of their religion, race or medical recommendations.
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A novel computational drug screening strategy combined with lab experiments suggest that pralatrexate, a chemotherapy medication originally developed to treat lymphoma, could potentially be repurposed to treat COVID-19. Haiping Zhang of the Shenzhen Institutes of Advanced Technology in Shenzhen, China, and colleagues present these findings in the open-access journal PLOS Computational Biology.
After "COVID-19," the term that most people will remember best from 2020 is likely to be "social distancing." While it most commonly applied to social gatherings with family and friends, it has impacted the way many receive medical care. Historically, the United States has been relatively slow to broadly adopt telemedicine, largely emphasizing in-person visits.
In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model had fundamental shortcomings and cannot be used to draw the published conclusions, claim Swedish researchers from Lund University, and other institutions, in the journal Nature.
The consortium of COVID-X announces the launch of the 1st Open Call framed in a 2-year initiative that will invest 4 million € to fast-track to market 30+ European data technology solutions defeating COVID-19 Challenges, facilitating an innovative stack of AI-driven tools.
Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv's new AI-COVID™ software. The team found high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.
University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online for any healthcare organization to use.
"The goal is to give an earlier alert to clinicians to identify patients who may be vulnerable at the onset," said Daniel S. Chow, an assistant professor in residence in radiological sciences and first author of the study, published in PLOS ONE.
The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Open Topic Tenure Track Professorship for Data, Sensors and Devices/Digital Transformation (W1 / Assistant Professor) at the Department of Artificial Intelligence in Biomedical Engineering.
Allscripts Healthcare Solutions (NASDAQ: MDRX) announced that Sunrise 20.0 is now generally available. Sunrise is a comprehensive platform of health that connects all aspects of care, including acute, ambulatory, surgical, pharmacy, radiology and laboratory services, and also features an integrated revenue cycle and patient administration system.