AI Revolution In Diabetes Care: How Technology Is Beating This Silent Killer

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AI Revolution In Diabetes Care: How Technology Is Beating This Silent Killer
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Entrepreneur, advisor, fractional CDAO, and international keynote speaker. I help executives transform organizations through data-driven leadership.

Using Clever Prompt Engineering To Have Generative AI Screen Out The Vast Deluge Of Exasperating Disinformation And Misinformation Coming Your WayInvisible and deceptive, this health condition is a silent killer affecting millions worldwide. For many, it begins as a growing fatigue, with a persistent weight gain leading to a fog gradually enveloping the mind.

The body's inability to regulate blood sugar leads to a condition called Type 2 Diabetes, the most common type of diabetes — fetching insulin resistance, the name pre-diabetes.suggest global diabetes cases could skyrocket from 529 million to a staggering 1.3 billion by 2050. In the US, over 37 million individuals, or 11% of the population, suffer from diabetes.The toll isn't just physiological; it's financial, too. Diabetes has earned the unfortunate distinction of being the U.S.

The intersection of data and healthcare has opened possibilities with novel, reliable, and non-intrusive solutions to manage blood sugar levels.For example, Abbott’s FreeStyle Libre 2 sensor provides real-time glucose readings for patients and healthcare providers, helping them determine optimal insulin doses.While such technology apps are a good step forward, they are nevertheless reactive – constant insulin jabs are band-aid solutions that fail to address the root of the problem.

By focusing on timely and appropriate movement, Sweeney saw real-time improvements in his glucose levels. In weeks, he was no longer in the pre-diabetic range, without medications or drastic lifestyle changes.

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