Global Digital Twin Water Markets, 2020-2026: Future Growth Potential Enhanced by Value-based Outcomes and Best Practices on Quick ROI

DUBLIN, Dec. 2, 2020 /PRNewswire/ — The “Global Digital Twin Water Industry 2020-2026 – Digital Water Initiatives to Drive Digital Twin Adoption” report has been added to’s offering.

The global water industry’s digital twin market was estimated at $415.7 million in 2019 and will grow at a CAGR of 32% until 2026.

This research aims to explore a company’s ‘Growth Zone’ in the water industry through digital twin opportunities. It analyses digital twin architecture, competitive landscape, evaluates potential OPEX savings, and pinpoints the key drivers and restraints influencing the market growth.

The study presents a digital water index for 21 countries, highlights the top three strategic imperatives for participants in the water industry, and discusses competitors’ various solutions and projects.

It also lists ten key growth opportunities for market participants to capitalize on in this high-growth market.

A digital twin is an emerging technology-based application in the water

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A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes. — ScienceDaily

Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous driving or medical diagnosis. These networks are good at recognizing patterns in large, complex datasets to aid in decision-making. But how do we know they’re correct? Alexander Amini and his colleagues at MIT and Harvard University wanted to find out.

They’ve developed a quick way for a neural network to crunch data, and output not just a prediction but also the model’s confidence level based on the quality of the available data. The advance might save lives, as deep learning is already being deployed in the real world today. A network’s level of certainty can be the difference between an autonomous vehicle determining that “it’s all clear to proceed through the intersection” and “it’s probably clear, so stop just in case.”

Current methods of uncertainty

Read More Secures $11M Series A Funding to Assist Healthcare Organizations Improve Clinical and Financial Outcomes

AUSTIN, Texas–(BUSINESS WIRE)–, Healthcare’s Data Science Platform, today announced the close of an $11 million Series A. The investment round was co-led by Greycroft and .406 Ventures with participation from Silicon Valley Bank and Meridian Street Capital. ClosedLoop makes it easy and affordable for healthcare organizations to use data science to improve outcomes and reduce costs by combining an intuitive end-to-end machine learning platform for data scientists with a catalog of healthcare specific predictive models and features.

The company’s technology is already recognized as a category leader by clients and the KLAS Healthcare AI 2020 report, which highlighted ClosedLoop as a Top Performer in healthcare-focused AI with 100% of customers saying they would buy the platform again. ClosedLoop is also a top 7 finalist in the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence (AI) Health Outcomes Challenge.

ClosedLoop’s platform provides leading-edge AI tools and automation capabilities

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Catalog Management System Market : Advancements and Efficient Clinical Outcomes would Drive the Industry Growth with Top Key Player’s Analysis

The MarketWatch News Department was not involved in the creation of this content.

Nov 17, 2020 (AmericaNewsHour) —
Global Catalog Management System Market to reach USD 1460.2 million by 2025.Global Catalog Management System Market valued approximately USD 761 million in 2016 is anticipated to grow with a healthy growth rate of more than 7.51% over the forecast period 2018-2025. Improvement in information technology systems that fulfill customers’ requirements and increasing use of the internet for business are driving the growth in the Global Catalog Management System Market. However, the risk associated with data security and lack of awareness about the utilities and benefits of catalog management systems hinder the growth in the market. A catalog management system is used to edit online catalogs, thus enables suppliers to price the goods available. It is a process that helps suppliers to quickly modify the changes in product and price, and introduce new … Read More

Researchers examine if online physician reviews indicate clinical outcomes — ScienceDaily

Online consumer reviews play an important role in almost every consumer industry — from dining and shopping to travel and technology. But what do online reviews of physicians tell consumers?

In a new study, researchers from The University of Texas at Dallas investigated whether patient-generated online reviews of physicians accurately reflect the quality of care.

“Many patients use online reviews of physicians for deciding which physicians to see and which to avoid,” said Dr. Atanu Lahiri, associate professor of information systems in the Naveen Jindal School of Management. “At the same time, though, some physicians have become quite wary of these websites, and they have even filed defamation lawsuits over negative patient reviews. In short, while patients seem to trust the reviews, the physicians don’t.”

In their study, published online Sept. 23 in Information Systems Research, Lahiri and his colleagues examined the relationship between online reviews of physicians and

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Different outcomes by race/ethnicity among patients with COVID-19 and rheumatic disease — ScienceDaily

Among U.S. patients with rheumatic disease and COVID-19, racial/ethnic minorities had higher risks of needing to be hospitalized and put on ventilators. The findings come from an analysis published in Arthritis & Rheumatology.

The analysis included data on all U.S. patients with rheumatic disease and COVID-19 entered into the COVID-19 Global Rheumatology Alliance physician registry from March 24 to August 26, 2020. A total of 1,324 patients were included, of whom 36% were hospitalized and 6% died; 26% of hospitalized patients required mechanical ventilation.

Compared with white patients, Black, Latinx, and Asian patients had 2.74-, 1.71-, and 2.69-times higher odds, respectively, of being hospitalized. Latinx patients also had three-fold increased odds of requiring mechanical ventilation. No differences in mortality based on race/ethnicity were found.

“Similar to the general population, Black, Latinx, and Asian individuals with rheumatic diseases are more likely to experience severe outcomes of COVID-19. These data suggest

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Newtopia Adds Two Data Science Experts To Deepen Strength In Analytics And Outcomes Measurement

Leonard Fensterheim Joins Newtopia as Vice President of Analytics, and Claire Spettell Joins as Advisory Board Member

TORONTO, Oct. 28, 2020 /CNW/ – Newtopia Inc., a leading habit change platform for disease prevention, today announced the expansion of its data science leadership and expertise with two new additions to the team – Leonard (Len) Fensterheim as Vice President of Analytics and Claire Spettell as an Advisory Board Member.

“We are excited to have the expertise of Len and Claire who will continue to evolve our precision analytics”, said Jeff Ruby, founder, and chief executive officer. “Healthcare is increasingly leveraging the power of data to guide improved health outcomes. Utilizing our aggregated data will enable Newtopia to produce better real time insights for our participants and risk bearing partners. This data includes biometric, genetic, phenotypic, social determinants, wearable, engagement, and outcomes, which fuel our best in class AI and

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