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Microsoft Expanding its ‘Dyanmics 365’ Apps Lineup

The company has also launched AI-infused apps for sales, customer service and market insights as part of the "Dynamics 365" app line-up

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Microsoft
Microsoft introduced Cortana on Windows Phone four years ago. In Windows 10, it became the core search functionality.Pixabay

Microsoft is expanding its Artificial Intelligence (AI)-based “Dynamics 365” apps lineup with two new Mixed Reality (MR) business apps.

The new apps — called — “Dynamics 365 Remote Assist” and “Dynamics 365 Layout” — have been added with the intention of merging MR and business applications together.

“With the release of our new AI and mixed reality applications, we are taking another step to empower every organisation on the planet to achieve more through the accelerant of business applications,” Alysa Taylor, Corporate Vice President, Business Applications and Industry, Microsoft wrote in a blog post on Tuesday.

The MR business apps will be part of the October release of “Dynamics 365”.

In 2016, Microsoft introduced “Dynamics 365” as a product line of enterprise resource planning (ERP) and customer relationship management (CRM) applications to make business apps modern, unified, intelligent and adaptable solutions, integrated with Office 365 and natively built on Microsoft’s Cloud computing service Azure.

Microsoft
A sign for Microsoft is seen on a building in Cambridge. VOA

By bringing together MR and business applications, the company aims to unify systems and have a holistic view of their business, customers and employees.

“Employees need information in context to apply their knowledge and craft. Not only on a 2-D screen – but information and data in context, at the right place and at the right time and mixed reality is a technology uniquely suited to do exactly that,” Taylor added.

The company has also launched AI-infused apps for sales, customer service and market insights as part of the “Dynamics 365” app line-up.

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“The new ‘Dynamics 365 AI’ offering are a new class of AI applications that will deliver out-of-the-box insights by unifying data and infusing it with advanced intelligence to guide decisions and empower organizations to take informed actions,” wrote Taylor.

These insights are easily extensible through the Microsoft’s business analytics service — Power BI, Azure and the Common Data Service, that could enable organizations to address complex scenarios specific to their business. (IANS)

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With Ovarian Cancer Deaths Set to Spike by 67%, AI to Rescue: Study

However, the scans cannot give clinicians detailed insight into patients’ likely overall outcomes or on the likely effect of a therapeutic intervention

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Cancer
Cancer Ribbon. Pixabay

With the incidence of ovarian cancer likely to increase by 55 per cent in another 15 years or so, researchers have created an artificial intelligence (AI) software to help best treat ovarian cancer that will pave the way for personalised medicine and expedite relief, a new study says.

The mathematical software tool — TEXLab — can also predict what treatment might be most effective for patients with the World Ovarian Cancer Coalition predicting that deaths will likely increase by 67 per cent by 2035 due to this particular cancer.

The technology can be used to identify patients who are unlikely to respond to standard treatments and offer alternatives as ovarian cancer is the sixth most common cancer in women in the UK that usually strikes after menopause or those with a family history of the disease.

Early detection of the disease could improve survival rates, the study noted.

“Long-term survival rate for patients with advanced ovarian cancer is poor despite advancements in treatments. There is an urgent need for new ways,” said lead author Eric Aboagye, Professor at Imperial College London.

For the study, researchers used the software to identify the aggressiveness of tumours in CT scans and tissue samples from 364 women with ovarian cancer.

The patients were then given a score known as Radiomic Prognostic Vector (RPV) which indicates how severe the disease is, ranging from mild to severe.

Cancer patient
Cancer patient.

The findings, published in Nature Communications, showed that the software was up to four times more accurate for predicting deaths from ovarian cancer than standard methods.

In addition, five per cent of patients with high RPV scores had a survival rate of less than two years, results showed.

High RPV was also associated with chemotherapy resistance and poor surgical outcomes, suggesting that RPV can be used as a potential bio-marker to predict how patients would respond to treatments.

“Our technology is able to give clinicians more detailed and accurate information on how the patients are likely to respond to different treatments, which could enable them to make better and more targeted treatment decisions,” said Aboagye.

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Doctors as of now diagnose ovarian cancer in a number of ways, including a blood test followed by a CT scan that uses X-rays and a computer to create detailed pictures of the ovarian tumour.

This helps clinicians know how far the disease has spread and determines the type of treatment patients receive, such as surgery and chemotherapy.

However, the scans cannot give clinicians detailed insight into patients’ likely overall outcomes or on the likely effect of a therapeutic intervention. (IANS)