The research was sparked by the pandemic and set out to build an AI tool to predict how much extra oxygen a COVID-19 patient may need in the first days of hospital care, using data from across four continents.
Telehealth and telemedicine emerged as essential communications tools during the COVID-19 pandemic as alternatives to face-to-face consultation between patients and physicians.
15 - 18 November 2021, Düsseldorf, Germany.| Location: | Berlin, Germany |
| Job Type: | Full-Time |
| Employer: | Bayer |
Through a year-long collaboration with a number of leading healthcare institutions across the globe, Siemens Healthineers has developed the Atellica COVID-19 Severity Algorithm,(1) a model designed to help predict the potential liklihood of progression to severe disease and life-threatening multiorgan dysfunction in COVID-19 patients.
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 "Maintaining an innovative, sustainable and globally competitive health industry". To that end, proposals under this topic should aim for delivering results that are directed, tailored towards and contributing to all of the following expected outcomes: