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Home / Health News / Artificial pancreas can be helpful for diabetics

Artificial pancreas can be helpful for diabetics

World's first machine intelligent artificial pancreas which can help enhance insulin dosing for diabetics, has been created by Australian-based researchers.

By: IANS   | | Published: March 26, 2019 9:05 am
Tags: Artificial pancreas  diabetes care  diabetes cause  Diabetics  Pancreas  
vegetables that diabetics should avoid 1
डायबिटीज से एक बार ग्रस्त होने से यह बीमारी ठीक नहीं होती। इसे कंट्रोल (foods to avoid in diabetes) में रखकर ही आप अन्य दूसरी बीमारियों को होने से रोक सकते हैं। इसके लिए सबसे जरूरी है कि आप अपने डाइट का सही चयन करें। डायबिटीज होने पर कुछ सब्जियों का सेवन करने से बचना चाहिए। जिस तरह आप मीठा खाने से परहेज करते हैं ठीक उसी तरह सब्जियां खाने के मामले में भी डायबिटीज (Vegetables to avoid in diabetes) के रोगियों को सावधान रहना चाहिए। सूरन और आलू मीठी होने के साथ-साथ स्टार्च युक्त भी होती हैं। इन्हें आपको कम ही खाना चाहिए। जानें, कौन सी सब्जियों को डायबिटीज के मरीजों को खाने (Vegetables to avoid in diabetes in hindi) से बचना चाहिए।

According to Nigel Greenwood, founder at Australia-based firm Evolving Machine Intelligence, along with researchers from the University of Queensland (UQ), the artificial intelligence-based (AI) technique can also transform the way aeroplane engine’s wear and tear is monitored. Also Read - Diabetes: Epigenetic changes precede onset of the disease

Also Read - Best and worst yoga poses for diabetes patients



“Our technology can recommend the best insulin dosage to keep each individual patient’s blood glucose levels under control with unprecedented stability and safety,” Greenwood said. “It will allow for better and more accurate treatment than we’ve ever seen,” he said. Also Read - An egg a day can trigger diabetes too, warn researchers

The researchers also applied the same AI technique to aviation turbine engines and their related systems to predict engine component degradation and plan services to improve performance.

The AI “allows us to evolve computational models of aviation engines as if they were organisms and it can explain explicitly what it thinks is happening inside the engine”, said Ingo Jahn, mechanical engineer at UQ.

Greenwood said the AI system learns by forcing mathematical models to evolve, quite literally by using simulated chromosomes, to fit known information.

Published : March 26, 2019 9:05 am
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