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NEW YORK--(BUSINESS WIRE)--Ninety One, Inc., an augmented intelligence company developing innovative software and data science solutions designed to automate cardiac remote monitoring and further Precision Medicine, announced today, announced today that Dr. Thomas Hong will be the first in the state of Texas to utilize the technology that combines state-of-the-art surveillance with early warning detection capabilities.

Ninety One, Inc. utilizes a cloud-native platform that automates the collection of data and reports from implanted cardiac devices and wearables digitizes, structures, and analyzes them with applied data science in an single-point, easy-to-use interface for patient care and innovation in research. Ninety Ones Global team of data scientists, software engineers, and modern mathematicians utilize artificial intelligence on vast amounts of data produced by these devices to predict disease episodes and disease progression. Ninety Ones ability to improve patient's quality of life, improve mortality rates, and accelerate decision making in real-time impacting patient outcomes is game-changing for cardiology, said Dr. Thomas Hong.

We are extremely excited to have our technology being used for the first time in the State of Texas. Dr. Hong has long been an innovator working in the forefront of technology and research to identify treatment pathways that lead to better patient experiences and outcomes, said Matthew Werner, Chief Commercial Officer at Ninety One.

About Dr. Thomas Hong

Dr. Hong is a cardiac electrophysiologist, specializing in treating patients with heart rhythm disorders and has served as Assistant Professor of Clinical Cardiology at Baylor College of Medicine and Houston Methodist Hospital. He has published in several peer-reviewed journals including Heart Rhythm, Journal of Cardiovascular Electrophysiology, and American Journal of Medicine.

About Ninety One

Ninety One is a privately-held, data science and native-cloud technology company, focusing on clinical advancement in predictive analytics and Precision Medicine, and has established key, exclusive partnerships with leading research and healthcare institutions in the United States, Europe, and Asia. Pursuing this mission with vigorous commitment and passion, while leveraging innovations in science, Ninety One aspires to make a material impact on disease diagnosis, treatment, and prevention.

For more information please visit https://www.91.life

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Houston Cardiologist Becomes the First in State to Use Ninety One Inc.'s Artificial Intelligence and Precision Medicine Platform - Business Wire

In the past decade, artificial intelligence (AI) has made it to mainstream society from academic journals. The technology has achieved numerous milestones when it comes to digital transformation across society including businesses, education, and healthcare as well. Today people can do the tasks which were not even possible ten years back.

The proportion of organizations using AI in some form rose from 10 percent in 2016 to 37 percent in 2019 and that figure is extremely likely to rise further in the coming year, according to Gartners 2019 CIO Agenda survey.

While the breakthroughs in surpassing human ability at human pursuits, such as chess, make headlines, AI has been a standard part of the industrial repertoire since at least the 1980s. Then production-rule or expert systems became a standard technology for checking circuit boards and detecting credit card fraud. Similarly, machine-learning (ML) strategies like genetic algorithms have long been used for intractable computational problems, such as scheduling, and neural networks not only to model and understand human learning but also for basic industrial control and monitoring.

Moreover, AI is also the core of some of the most successful companies in history in terms of market capitalizationApple, Alphabet, Microsoft, and Amazon. Along with information and communication technology (ICT) more generally, the technology has revolutionized the ease with which people from all over the world can access knowledge, credit, and other benefits of a contemporary global society. Such access has helped lead to a massive reduction of global inequality and extreme poverty, for example by allowing farmers to know fair prices, the best crops, and giving them access to accurate weather predictions.

Following the trends, we can say that there will be big winners and losers as collaborative technologies, robots and artificial intelligence transform the nature of work. Moreover, data expertise will become exponentially more important. Across various organizations, the role of a senior manager in a deeply data-driven world is about to shift, thanks to the AI revolution. It is estimated that information hoarders will slow the pace of their organizations and forsake the power of artificial intelligence while competitors exploit it.

In the future, judgments about consumers and potential consumers will be made instantaneously and many organizations will put cybersecurity on par with other intelligence and defense priorities. Besides, open-source information and artificial intelligence collection will provide opportunities for global technological parity and soon predictive analytics and artificial intelligence could play an even more fundamental role in content creation.

With the growth of AI-enabled technologies in the future, societies will face challenges in realizing technologies that benefit humanity instead of destroying and intruding on the human rights of privacy and freedom of access to information. Also, the surging capabilities of robots and artificial intelligence will see a range of current jobs supplanted, where professional roles such as doctors, lawyers, and accountants could be replaced by artificial intelligence by the year 2025.

Moreover, low-skill workers will reallocate to tasks that are non-susceptible to computerization. All the risks will arise out of human activity from certain technological development in this technology, synthetic biology, nano techno, and artificial intelligence.

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Smriti is a Content Analyst at Analytics Insight. She writes Tech/Business articles for Analytics Insight. Her creative work can be confirmed @analyticsinsight.net. She adores crushing over books, crafts, creative works and people, movies and music from eternity!!

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Futuristic Impacts of AI Over Businesses and Society - Analytics Insight

For the first time in a pandemic, Artificial Intelligence (AI) is playing a role like never before in areas ranging from diagnosing risk to doubt-clearing, from delivery of services to drug discovery in tackling the Covid-19 outbreak.

While BlueDoT, a Canadian health monitoring firm that crunches flight data and news reports using AI, is being credited by international reports to be the first to warn its clients of an impending outbreak on December 31, beating countries and international developmental agencies, the Indian tech space too is buzzing with coronavirus cracking activities.

CoRover, a start-up in the AI space that has earlier developed chatbots for railways ticketing platform, has now created a video-bot by collaborating with a doctor from Fortis Healthcare. In this platform, a real doctor from Fortis Healthcare not a cartoon or an invisible knowledge bank will take questions from people about Covid-19.

Apollo Hospitals has come up with a risk assessment scanner for Covid-19, which is available in six languages and guides people about the potential risk of having the virus. The Jaipur-based Sawai Man Singh Hospital is trying out a robot, made by robot maker Club First, to serve food and medicines to patients to lower the exposure of health workers to coronavirus patients.

This is the first time in healthcare that Artificial Intelligence, Machine Learning, and Natural Language Processing are being used to create a Virtual Conversational AI platform, which assists anyone to be able to interact with doctors and have their queries answered unlike other search engines, which do not guarantee the authenticity of information, CoRovers Ankush Sabharwal claimed, while talking of its video-bot, which is likely to be launched soon.

Sabharwal told BusinessLine that answers to numerous questions have been recorded by Pratik Yashavant Patil, a doctor from Fortis Healthcare. In his AI avatar, Doctor Patil will bust myths, chat with you and will probably have answers to a lot of your questions.

Another start-up, Innoplexus AG, headquartered in Germany but founded by Indians, is claiming that its AI-enabled drug discovery platform is helping to arrive at combinations of existing drugs that may prove more efficacious in treating Covid-19 cases.

Its AI platform, after scanning the entire universe of Covid-related data has thrown up results to show that Hydroxycholoroquine or Chroloquine, an anti-malaria drug that is being prescribed as a prophylactic for coronavirus under many protocols works more effectively with some other existing drugs than when it is used alone, the company claims.

Our analysis shows that Chloroquine works more effectively in combination with Pegasys (a drug used to treat Hepatitis C] or Tocilizumab, (a rheumatoid arthritis drug) or Remdesivir (yet to be approved antiviral drug for Ebola) or Clarithromycin (an antibiotic). We are hoping to work with drug regulators and partners to test these in pre-clinical and clinical trials, said Gunjan Bhardwaj, CEO, Innoplexus.

To be sure, hundreds of clinical trials are currently under way with several cocktails of medicines for Covid-19 across the world, and some of these drugs were part of trials held in China and Taiwan. The World Health Organization (WHO) itself is monitoring a global mega clinical trial for testing drugs for Covid-19 called solidarity, which India decided to join on Friday.

Read more here:
Role of AI soars in tackling Covid-19 pandemic - BusinessLine

The agency is looking at how to best apply curated data sets to new use cases.

The Department of Veterans Affairs is closer to expanding its use of artificial intelligence and developing novel use cases.

In looking back on the early stages of the VAs newly launched artificial intelligence program, the department's Director of AI Gil Alterovitz noted ongoing questions about how to best leverage AI data sets for secondary uses.

One of the interesting challenges is often that data is collected for maybe one reason, and it may be used for analyzing and finding results for that one particular reason. But there may be other uses for that data as well. So when you get to secondary uses you have to examine a number of challenges, he said at AFCEA's Automation Transformation conference.

Some of the most pressing concerns the VAs AI program hasencountered include questions of how to best apply curated data sets to newfound use cases, as well as how to properly navigate consent of use for proprietary medical data.

Considering the specificity of use cases, particularly for advanced medical diagnostics and predictive analytics, Alterovitz has proposed releasing broader ecosystems of data sets that can be chosen and applied depending on the demands of specific AI projects.

Theres a lot to think about data sets and how they work together. Rather than release one data set, consider releasing an ecosystem of data sets that are related," he said."Imagine, for example, someone is searching for a trial you have information about. Consider the patient looking for the trial, the physician, the demographics, pieces of information about the trial itself, where its located. Having all that put together makes for an efficient use case and allows us to better work together."

Alterovitz also discussed the value of combining structured and unstructured data sets in AI projects, a methodology that Veterans Affairs has found to provide stronger results than using structured data alone.

When you look at unstructured data, there have been a number of studies in health care looking at medical records where if you look at only structured data or only unstructured data individually, you dont get as much of a predictive capability whether it be for diagnostics or prognostics as by combining them, he said.

Beyond refining and expanding these data applications methodologies, the VA also appears attentive to how to best leverage proprietary medical data while protecting personally identifying information.

The solution appears to lie in creating synthetic data sets that mimic the statistical parameters and overall metrics of a given data set while obscuring the particularities of the original data set it was sourced from.

How do you make data available considering privacy and other concerns?" Alterovitz said."One area is synthetic data, essentially looking at the statistics of the underlying data and creating a new data set that has the same statistics, but cant be identified because it generates at the individual level a completely different data set that has similar statistics."

Similarly, creating select variation within a given data set can serve to remove the possibility of identifying the patient source, You can take the data, and then vary that information so that its not the exact same information you received, but is maybe 20% different. This makes it so you can show its statistically not possible to identify that given patient with confidence.

Going forward, the VA appears intent on solving these quandaries so as to best inform expanded AI research.

A lot of the data we have wasnt originally designed for AI. How you make it designed and ready for use in AI is a challenge and one that has a number of different potential avenues, Alterovitz concluded

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VA Looking to Expand Usage of Artificial Intelligence Data - GovernmentCIO Media

Artificial intelligence (AI) is informing just about every facet of society, from detecting fraud and surveillanceto helping countries battle the current COVID-19 pandemic. But AI is a thorny subject, fraught with complex terminology, contradictory information, and general confusion about what it is at its most fundamental level. This is why the Oxford Internet Institute (OII), the social and computer science department of the U.K.s University of Oxford, has partnered with Google to launch a portal with a series of explainers outlining what AI actually is including the fundamentals, ethics, its impact on society, and how its created.

At launch, the A-Z of AI covers 26 topics, including bias and how AI is used in climate science, ethics, machine learning, human-in-the-loop, and Generative adversarial networks (GANs).

Googles People and AI Research team (PAIR) worked with Gina Neff, a senior research fellow and associate professor at OII, and her team to select the subjects they felt were pivotal to understanding AI and its role today.

The 26 topics chosen are by no means an exhaustive list, but they are a great place for first-timers to start, the guides FAQ section explains. The team carefully balanced their selections across a spectrum of technical understanding, production techniques, use cases, societal implications, and ethical considerations.

For example, bias in data sets is a well-documented issue in the development of AI algorithms, and the guide briefly explains how the problem is created and how it can be addressed.

Typically, AI forms a bias when the data its given to learn from isnt fully comprehensive and, therefore, starts leading it toward certain outcomes, the guide reads. Because data is an AI systems only means of learning, it could end up reproducing any imbalances or biases found within the original information. For example, if you were teaching AI to recognize shoes and only showed it imagery of sneakers, it wouldnt learn to recognize high heels, sandals, or boots as shoes.

You can peruse the guide in its full A-Z form or filter content by one of four categories: AI fundamentals, Making AI, Society and AI, and Using AI.

Those with a decent background in AI will find this guide simplistic, but its a good starting point for anyone looking to grasp the key points they will be hearing about as AI continues to shape society in the years to come.

Its also worth noting that this isnt a static resource the plan is to update it as AI evolves.

The A-Z will be refreshed periodically as new technologies come into play and existing technologies evolve, the guide explains.

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Google and the Oxford Internet Institute explain artificial intelligence basics with the A-Z of AI - VentureBeat