Projects
The majority of Internet users turn to the web for information when they have a medical concern. The data generated while users seek such information, and more generally when they browse the Internet for work and pleasure, represent a potential…
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The human immune system is an astonishing diagnostic system, continuously adapting itself to detect any signal of disease in the body. Essentially, the state of the immune system tells a story about virtually everything affecting a person’s health. What if…
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HIV, like most retroviruses, is characterized by a tremendous rate of mutation, which leads to a high level of genetic diversity within and among patients. This genetic variation is the substrate for rapid within-host evolution. As our immune system learns…
Infectious diseases, including COVID-19, continue to pose a significant public health threat, and identifying new cases and tracking disease trends are crucial for effective prevention and control measures. In recent studies, researchers have used various data sources, such as internet…
Democratizing digital tools for sustainable agriculture As one of the biggest contributors to climate change, agriculture, along with land use degradation and deforestation, account for about a quarter of the global GHG emissions and consumes about 70% of the world’s…
InnerEye is a research project that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images.
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Project InnerEye open-source tools are created and used by the medical imaging researchers at Microsoft Research. They are released at no-cost under an MIT open-source license to make them widely available for the global medical imaging community.
In the mental health context, this means that we strive to reduce the gap between people who suffer from mental illness, whether it is diagnosed, long-term, or situational, and the tools and interventions that can help them.
This cross-company initiative is dedicated to creating solutions for a future of work that is meaningful, productive, and equitable. The focus has shifted from remote to hybrid to the role of artificial intelligence in changing work practices.