Studies in Pandemic Preparedness
뉴스 & 기능
Anticipate, absorb, and adapt—introducing the societal resilience research agenda
| Peter Lee
The genetic sequence for COVID-19 was first published in January 2020. Before the end of the year, new vaccines—which typically take five to ten years to develop—were approved for emergency use in multiple nations. This astounding achievement is emblematic of…
뉴스에서 | New York Times
Coronavirus Can Set Off a ‘Cytokine Storm.’ These Drugs May Calm It
At least a dozen treatments are being evaluated for virus patients whose immune systems go on the attack. Many coronavirus patients seem to get better at first, then rapidly decline and are overtaken by an overwhelming immune response that causes…
뉴스에서 | Pioneer
Supporting clinicians diagnose and assess the severity of Covid-19 using Artificial Intelligence and Chest X-rays
To use artificial intelligence to support frontline clinicians interpreting chest radiographs (CXR) as a way to diagnose Covid-19 and predict the likely outcomes for patients. Although Covid-19 can be diagnosed using throat and nose swabs, these remain limited in supply…
Advancing organizational science using network machine learning to measure innovation in the workplace
| Carolyn Buractaon, Amber Hoak, David Tittsworth, Neha Shah, 그리고 Jonathan Larson
Is innovation another loss due to the global COVID-19 pandemic? Indicators reveal challenges to overcome—as well as opportunities to build on our collective experience gained in the last year. Measuring collaboration using network machine learning provides a powerful diagnostic tool…
뉴스에서 | Harvard Business Review
What a Year of WFH Has Done to Our Relationships at Work
More than a year into the Covid-19 pandemic and WFH, new research from Microsoft shows that employees and teams are becoming much more siloed. In particular, connections with people outside our immediate teams has shrunk dramatically, leading to fewer places…
뉴스에서 | GOV.UK Department of Health and Social Care
AI at the forefront of efforts to treat coronavirus patients
Patients with COVID-19 are set to benefit from faster treatment, improved outcomes and shorter hospital stays thanks to the use of the latest artificial intelligence. 1) AI imaging database will improve diagnosis of patients presenting with COVID-19 symptoms 2) Increased…
뉴스에서 | The Wall Street Journal
Too Much Caution is Killing Covid Patients
Fear and panic are central impediments to competent decision-making during a crisis. As Covid-19 cases and hospitalizations rise around the country, creating an atmosphere of crisis, political leaders are reaching for last spring’s lockdown playbooks. Their grave tone conveys an…
Project InnerEye open-source deep learning toolkit: Democratizing medical imaging AI
| Javier Alvarez-Valle 그리고 Gregory J. Moore, MD, PhD
For over a decade, the Project InnerEye (opens in new tab) team at Microsoft Research Cambridge (opens in new tab) has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is…
뉴스에서 | NIHR University College Londonh Hospitals Biomedical Research Center
Imaging data could identify who should shield in COVID-19 outbreaks
UCLH and UCL researchers are working with Microsoft to see if chest imaging data can identify better who should shield in potential future COVID-19 outbreaks. With concerns that current shielding guidelines miss out on people who should be shielding but…