COVID-19 Research
Collaborative biomedical research and innovation
项目
AI for Health is a philanthropic program launched by Microsoft, which aims to support nonprofits, researchers, and organizations working on global health challenges. The program provides access to artificial intelligence (AI) technology and expertise in three main areas: population health,…
The Azure Health Bot service empowers healthcare organizations to build and deploy an AI-powered, compliant, conversational healthcare experience at scale. The service combines built-in medical intelligence with natural language capabilities, extensibility tools and compliance constructs, allowing healthcare organizations to give…
Summary The COVID19 pandemic spread across the world in late 2019 and early 2020. As the pandemic spread, technologists joined forces with public health officials to develop apps to support COVID19 response, including contact tracing apps. For these technological solutions…
成立:
Our goal is to enable data-driven farming. We believe that data, coupled with the farmer’s knowledge and intuition about his or her farm, can help increase farm productivity, and also help reduce costs. However, getting data from the farm is…
The ability to model and forecast disease transmission, behavior, risk factors, illness and mortality is important for making public health decisions and allocating resources that can help mitigate the impact of a pandemic. The modeling community around the world continues…
The COVID-19 pandemic has affected nearly every aspect of life around the world, from healthcare and economics to diet and social needs. As a result, researchers have turned to a variety of methods to understand the impacts of the pandemic…
New advances in graph machine learning paired with telemetry unlock a disruptive new ability to measure and reason about how organizations function. The modern workplace has changed the way collaborative work is performed. With the shift to remote and hybrid…
The Health Data Interoperability team works on standards and policy, and advocate for policies that empower individuals with frictionless access to their own health data, aligning policy priorities with technical capabilities.
成立:
Exploring how to make remote and hybrid telepresence meetings engaging, effective, adaptive, and inclusive.