Microsoft and Apollo design new machine learning _ help doctors find relevant treatments for predicting heart disease

Recently, Microsoft and Apollo Hospital issued a joint statement, indicating that the two sides will form a strategic alliance, jointly design a new machine learning algorithm to predict the risk of heart disease, and assist doctors to quickly find relevant treatment methods.

"Our collaboration with Apollo Hospital combines our expertise in artificial intelligence and machine learning with Apollo's expertise and experience in heart disease," said Peter Lee, vice president of the Microsoft Artificial Intelligence Research Center.

He also pointed out that the combination of artificial intelligence and medical health systems is to better empower medical workers and promote the spread of artificial intelligence. This process is solution-oriented and reduces the burden of disease on humans through more intuitive, fast and effective diagnostic methods.

Microsoft said in a blog that the two sides are currently developing an artificial intelligence API for determining heart health. However, there is no statement in the blog that this API is unique to Apollo Hospital and will be open to other medical practitioners in the country.

Apollo Hospital has a large number of clinical history data for heart patients, and they plan to use these data and advanced technologies such as artificial intelligence to predict and prevent heart disease. Sangita Reddy, co-general manager of Apollo Hospital, said that they will gradually establish a “global alliance” to make their research benefit patients in other countries.

In addition to working with Apollo Hospital, Microsoft recently announced the launch of the Microsoft Genomics service. By utilizing and processing genetic data, Microsoft Genomics services help medical researchers invent drugs that more accurately treat diseases such as cancer. For example, by analyzing patient health and tumor cell tissue and other patient medical data (including treatments and outcomes), doctors can choose the most effective treatment.

St. Jude Children's Research Hospital, Microsoft and DNAnexus (a genetic data management platform operating on Azure) have collaborated to develop a set of genome alignment and genetic variant identification processes based on shared genetic data and Microsoft Genomics services. Based on this process, the collaborators have processed more than 500TB of genetic data and stored it in Azure for analysis. These data analysis results provide a good foundation for data sharing platforms that research hospitals, DNAnexus, and Microsoft are working together.