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The search to save life: How Machine Learning fights Covid-19 with data

May 6, 2021 | Microsoft New Zealand News Center

When it comes to a global pandemic, no matter where they live or how they are affected, there is one thing almost all.

What information can I trust?

Where can I get this information?

And if you are a parent or a medicine for the front lines of the daily treatment battle, you also want to know:

This is the question that drives the Microsoft cognitive search specialist Jennifer Marsman to look for a way to help researchers and medical workers to navigate a clear way through the mountains of information that online their way do.

"As a mother, I read headlines that suggested children who could give ibuprofen, Covid-19 symptoms worsen. I tried to find out how exactly the results were, but there were many contradictory information online and a lot of it was outdated. I just wanted to find an information source that I could trust, "she says.

That was your Eureka moment. How many others around the world wanted Jennifer and the colleagues Liam Cavanagh do something to support Covid-19's fighting. With the realization that your machine learning capabilities for medical professionals on the frontlines could be really useful, they were charged and ready to create the ultimate search tool.

Since Jennifer sets it: "As a software developer, I will not make medical innovations, but how can I help scientists and healthcare to make their innovations faster?"

Manage the flood of Covid Research

Swinging images of intensive care poles filled with fighting patients have appeared around the world around the world. For the medical teams who care about these patients, with long shifts, isolation of families, constant trauma, it is a sustained battle of passion and service against the boundaries of the human body - their own as well as their patients.

With all this to deal with it, there is not much time to wade through all research. It flooded by laboratories, hospitals and universities around the world. Research that could contain the information to find new techniques or medications to treat COVID-19.

"So many data is changing for hours. With new research documents that come out every week, it is easy for people to be overwhelmed," explains Jennifer.

In March 2020, Microsoft's cognitive search team created an online search in the Microsoft's Azure Cloud platform. Simply called Covid-19n search, it uses Machine Learning to analyze the online medical magazines and research papers in the Semantic Scholar database of Covid-19 Open Research DataSet (Cord). Create immediate summaries for easy digestion and enable you to be crossed. Even with handy graphs.

Because COVID-19 is such a global topic, its search contains around 340,000 items and count. Researchers can paste scientific documents in Microsoft Translate and immediately translated into or from other languages. Articles drawn from intelligent face pointers are worked together and expanded so that people are looking for things, such as "Covid-19 effects on kidneys" or which medicines are effective, as genes influence forecasts, and articles of certain contributors. Even seekers can find the latest research to filter out outdated information and summarize each article with the most important points for temporal readers.

"For example, the World Health Organization warned to give children ibuprofen, and recover this advice. With the search, the persons can limit the parameters so that they only receive the most up-to-date information, which helps to remove confusion and save time And we hope to save that helps to save life, "says Jennifer.

What is next in digital health care?

Hospitals now use the search CovID-19 to help them treat patients and understand relationships between symptoms, drugs and results, especially for more complex cases. Jennifer hopes to add more functionality to the search, continues during the time.

and this is just one example of how technology helps to take into account the most urgent health problems in the world.

"In New Zealand, our partners and customers develop the most amazing solutions with AI, Augmented Reality (AR) and cloud platforms that transform the manner, as we transform ourselves with illness and injury," says Matt Bostwick, says Partner Director at Microsoft New Zealand. "Although we were largely isolated from the worst of the pandemic, we will innovate together with the best."

Small Kiwi Business CloseAsociate developed a free AI-powered Covid-19 modeling tool (which is also hosted in Azure), which allows leaders of health policy to monitor the spread of the virus and monitor different scenarios, eg. B. What the impact would be spread if more people wore or socially distanced masks. This has enabled agencies and organizations of the National New Zealand Covid 19-Response Team to the University of Illinois to develop fast Covid 19 management strategies to protect all populations. Online Covid 19 cards are available for almost every country from Afghanistan to Zimbabwe.

At the Southern Institute of Technology, Microsoft Hololens Headsets use care students to find out how Covid-19 patients can be treated in the absence of actual topics. With AR you can interact with patients in the virtual world that provide a number of different symptoms to simulate a true hospital setting.

And beyond Covid, local innovators also use technology to improve the thoracic practices and pick up Cancers earlier, enable better cooperation and data sharing both inside and between hospitals and create digital twins of extensive hospitals to better To create visibility of resources and pave the way for robots to automate time-consuming tasks. Aceso and Whanau Tahi are two Microsoft partners who help to combine health services in New Zealand at the highest levels to the Grassroots.

With all this in mind, the future of healthcare and the future of technology is two sides of the same coin. Jennifer has no plans to learn how to innovate Machine and innovate healthcare.

"Microsoft recognizes a lot that we have the tools, intelligence and resources to make a difference. If we get the chance, why would not we?" She just asks.

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