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Project Matsu - Project Matsu is a collaboration between the NASA Goddard Space Flight Center and the Open Commons Consortium to develop open source technology for cloud-based processing of satellite imagery to support the earth science research community as well as human assisted disaster relief.
The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.” [7] Other journals have a more general scope than biomedical data science, but regularly publish biomedical data science research such as Health Data Science [8] and Nature Machine Intelligence. [9]
Tempus AI, Inc. (formerly Tempus Labs [1]) is an American health technology company [2] founded in 2015 by Eric Lefkofsky in Chicago, Illinois. [3] It was established by Lefkofsky soon after his wife was diagnosed with breast cancer. [4]
Other projects like AgeGuess [8] focus on the senior demographics and enable the elderly to upload photos of themselves so the public can guess different ages. Lists of citizen science projects may change. For example, the Old Weather project website indicates that as of January 10, 2015, 51% of the logs were completed. [9]
The Healthcare Information and Management Systems Society (HIMSS) is an American not-for-profit organization dedicated to improving health care in quality, safety, cost-effectiveness and access through the best use of information technology and management systems. It was founded in 1961 as the Hospital Management Systems Society.
Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [56] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.
Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...
Greater health data lays the groundwork for the implementation of AI algorithms. A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning algorithms adapt and allow for more robust responses and solutions. [111] Numerous companies are ...