Diabetes


Diagnosing the future of health apps

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Whether being used by organisations to adapt and streamline processes to improve data access and patient care or by patients themselves looking at ways to better understand and manage their health, the sector is set to be transformed by the evolution of apps. The findings include important trends that will affect the future of healthcare, including artificial intelligence and how embeddables (i.e. With the number of people with diabetes in Europe forecast to rise from 59.8 million in 2015 to 71.1 million in 2040, such apps have the potential to make a dramatic impact by putting sophisticated healthcare into the hands of the patient. I believe the need for greater transparency, combined with emerging business models and processes, will drive more people to call for the healthcare industry to safeguard data and improve overall application security standards.


Artificial Intelligence Shows Potential to Fight Blindness

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This advance has the potential to reduce the worldwide rate of vision loss due to diabetes. In a study published online in Ophthalmology, the journal of the American Academy of Ophthalmology, the researchers describe how they used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. Dr. Leng's algorithm could identify all disease stages, from mild to severe, with an accuracy rate of 94 percent. This is why an effective, automated algorithm could potentially reduce the rate of worldwide blindness.


Artificial intelligence in health care: Better studies are needed

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An article in Newsweek magazine says, "Artificial intelligence will cure America's sick health care system" using data and automation to "drive down the costs of health care while increasing effectiveness." A company called Virta Health has come up with a smartphone app that is like "a live-in doctor and diabetes coach." The patient population consisted of 238 morbidly obese patients with type 2 diabetes; 90 percent were taking one or more diabetes medications, and 80 percent had hemoglobin A1c levels 6.5 percent. We are going to need a better study with randomized patients and a much longer follow-up period before we can say artificial intelligence is going to "cure America"s sick health care system."


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An article in Newsweek magazine says, "Artificial intelligence will cure America's sick health care system" using data and automation to "drive down the costs of health care while increasing effectiveness." A company called Virta Health has come up with a smartphone app that is like "a live-in doctor and diabetes coach." The patient population consisted of 238 morbidly obese patients with type 2 diabetes; 90 percent were taking one or more diabetes medications, and 80 percent had hemoglobin A1c levels 6.5 percent. We are going to need a better study with randomized patients and a much longer follow-up period before we can say artificial intelligence is going to "cure America"s sick health care system."


Understanding Machine Learning: An Executive Overview Official Pythian Blog

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Machine learning is a set of computational tools and mathematical techniques for predicting the future state or classifying the outcomes of a particular variable (or unit of measurement) based on its interactions with other variables in a data set. At this point, let us consider two different subplots: 1) The teacher tests the student with an exact word for word replica of questions that earlier served as examples while teaching. In the diabetes case, we build a predictive model by providing the computer with a dataset of people who have diabetes and those who do not. The entirety of machine learning builds on the key points discussed in this post.


How IoT and AI is changing the face of rural healthcare - ETtech

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The challenge is to bring in new generation of healthcare solutions at the primary care level, with focus on preventive care. From improving the precision of medical care and increasing the accuracy of medical data to facilitating continuous monitoring of patient status and real-time access of patient reports for better responsiveness in emergency situations, the scope for development is immense. While IoT facilitates data portability, AI helps primary care physicians perform faster diagnosis, leading to timely, life-saving interventions. Besides, the key driver for preventive care is predictive diagnosis based on AI.


What's the Business Model for Artificial Intelligence in Healthcare? Xconomy

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Illumina found customers for its gene sequencing technology and data services at genomic research centers, clinical research organizations, research institutions, and biotech and pharmaceutical companies. "They're providing you real-time guidance on the impact of your "foodprint" as they call it, on your glucose behavior," said Annika Jimenez, senior vice president for data at San Diego's DexCom (NASDAQ: DXCM), which specializes in continuous glucose monitoring technology for managing diabetes. Navid Alipour, a co-founder and managing partner of San Diego's Analytics Ventures, said his firm's portfolio company CureMatch is taking a direct-to-consumer approach, in which cancer patients pay CureMatch to recommend the top three combinations of chemotherapy drugs for each patient's cancer. CureMetrix, another company in Analytics Ventures' portfolio, uses machine learning to analyze mammography images for breast cancer--and must still get FDA approval before it can be used in the United States, Alipour said.


Diabetes Data Platform Leader Glooko Raises $35 Million in Series C

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The company will also increase commercialization efforts in France, Germany, the U.K., Asia and the Middle East, and further development efforts in data analytics and artificial intelligence to provide personalized insights that drive meaningful behavior change. Glooko provides payers, employers, pharmaceutical companies and health systems with a diabetes digital health platform that delivers personalized and actionable insights to people with diabetes and their care teams that aim to drive improved outcomes at a lower cost. "With this capital, we will accelerate our investments in clinical solutions that aim to increase medication adherence, provide personalized insights and prompts that drive behavior change for people with diabetes, and deliver clinical decision support to thousands of clinicians and coaches so they can better support people with diabetes in between office visits." Georgian Partners is a thesis-driven growth equity firm investing in SaaS-based business software companies exploiting applied artificial intelligence, security first and conversational business.


5 Early Signs And Symptoms Of Diabetes

International Business Times

It affects around 29 million Americans, and is caused by high blood sugar levels, often the result of poor diet and exercise. Blurred vision is also a common early sign of type 2 diabetes. At first, it can be hard for the body to adapt to changes in blood sugar, and as a result blurred vision is common during the early stages of diabetes. After the body gets used to new higher blood sugar levels, vision will return to normal.


AI Works Better with Human Intelligence, Too - InformationWeek

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Eric Williams, VP of Data Science & Analytics at Omada Health provided a view into how his digital therapeutics company is combining AI with human intelligence to help pre-diabetic patients lose weight. Williams provided these insights during the Interop ITX session, Where Artificial Intelligence Meets Human Intelligence: Building Digital Healthcare for the Future. To help companies and insurers help patients make the behavioral changes necessary to prevent diabetes, Omada provides a "Symphony" of tools that include scales, wearables, and a food-tracking app. As part of its evolution, Omada sought to complement its health coaches with digital health coaches.