February 26, 2024

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AI Helps Researchers Explore Type 1 Diabetes in the U.S.

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Researchers from the University of Missouri used artificial intelligence (AI) to analyse the publicly available data from about 16,000 participants enrolled in the T1D Exchange Registry database to learn more about people with Type 1 diabetes.

The information was acquired by the team using health informatics in order to gain a better understanding of the disease, and they were sponsored in part by a grant from the National Science Foundation in the United States.

According to Chi-Ren Shyu, one of the researchers, they delegate the task of connecting millions of dots in the data to the computer so that it could identify major contrasting patterns between people who had a family history of Type 1 diabetes and people who did not have such a history. Additionally, they had the computer perform the statistical testing so that they could be sure of the accuracy of their findings.

“We let the computer do the statistical testing to make sure we are confident in our results,” said Shyu.

The investigation carried out by the researchers came up with a few results that were surprising. Citing an example when they discovered that people who had an immediate family member with type 1 diabetes were more likely to be diagnosed with hypertension, in addition to diabetes-related nerve disease, eye disease, and kidney disease.

This information was gleaned from the registry of people with diabetes. Erin Tallon, who was the principal author of the study, said that the findings prove that real-world data and artificial intelligence have utility.

Using AI, researchers are attempting to discover a solution to the issue that persons with Type 1 diabetes would manifest the symptoms in various ways. Diabetes Type 1 is not a distinct disease that presents itself in the same way for everyone who has it. By doing analysis on data gathered from the real world, they can gain a better knowledge of the risk variables that may put a person at a higher risk for developing bad health outcomes.

Researchers are hoping that their discoveries can help solve a more widespread issue by employing more extensive data sets that are population-based. They are also planning to construct larger patient cohorts, do additional data analysis, and make use of these algorithms or artificial intelligence to assist them.

An algorithm for mining contrast patterns can identify statistically significant deviations in the distribution of attribute frequencies between two patient categories. The validated approach was utilised by the researchers to find individual and co-occurring traits that were observed considerably more frequently in familial Type 1 diabetes compared to sporadic cases of Type 1 diabetes.

They talk about these traits using the term “patterns” or “feature patterns.” While the method returns feature patterns with one, two, or three components, these patterns might have any number of elements. The terms “individual elements” and “individual characteristics” are interchangeable.

This study is the largest one done to date to compare the health outcomes of patients with familial and sporadic types of Type 1 diabetes over a longer period of time. It was conducted using data from the T1D Exchange Clinic Registry with thousands of participants.

The current findings need to be validated in a larger population-based cohort by the conduct of additional research. This approach has the potential to be modified to assist in the creation of individualised treatment options for diabetic patients.

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Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

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CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.

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Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

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SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

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HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

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IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

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