New York, November 10 (IANS). For the first time, a team of scientists has presented an AI dataset that can influence the development of type 2 diabetes.
According to the report published in the journal Nature Metabolism, this research included patients without diabetes and diabetes. At the beginning of this research, many different types of indications and information came to light.
Dr. Cecilia Lee, professor of ophthalmology at the University of Washington School of Medicine in the US, said that we see data supporting diversity among type 2 diabetes patients, which shows that not everyone is struggling with the same thing. Are. Researchers will be able to work in depth on the datasets we are getting
For example, data obtained from a customized environmental sensor in the homes of research participants showed that the more small particles in the air, the more likely people were to get sick.
Data include survey responses, depression scales, eye scanning, glucose, and other biological variables.
“All of this data needs to be aggregated by AI to gain new insights about risk, preventive measures, and pathways between disease and health,” the authors said.
“This process of discovery has been exciting,” said Dr. Aaron Lee, professor of ophthalmology at UW Medicine and principal investigator of the project. “We are an association of seven institutions and multidisciplinary teams who have never worked together before “But we have shared goals of using data fairly and protecting the security of that data as we make it accessible to colleagues everywhere.”
Data hosted on a custom online platform is prepared in two sets. One is a controlled access set that requires a usage agreement and the other is a publicly available version.
–IANS
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