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How to maximise health benefits by avoiding feasting after fasting — Dubai experts offer guideline


Dubai: As Ramadan helps reset the physiological functions of the body, experts advise moderation during Eid in order to capitalise on the health benefits that accrue during Ramadan. We can reinstate the normal rhythm and avoid excessive feasting during the festive week.
Dr Hamed Farooqi
Dr Hamed Farooqi, director at the Dubai Diabetes Centre of the Dubai Health Authority (DHA), said: “Ramadan teaches people self-control. What one learns during this period must be followed for the rest of the year. So during Eid, slowly re-introduce eating and do not overwhelm your body with heavy food, sugar and oil. This can actually trigger high blood glucose episodes. This can happen even to non-diabetic individuals. “ ....

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Dubai Health Authority announces Ramadan timings for health care centres


Timing of DHA hospitals
Hospitals and health centres, will work as per shift timings and medical practitioners will be on call to ensure work continues as usual, while the emergency departments of all DHA hospitals will be functional round-the-clock.
The specialist outpatient clinics at Latifa Hospital’s outpatient clinics will be open from Sundays to Thursdays from 9am-2pm.
The Dubai Hospital outpatient clinic will work in two shifts: 8am-1pm and 1pm-6pm on weekdays and Rashid Hospital outpatient clinic will be open from 8am -1pm on weekdays. Hatta hospital outpatient clinics will work from 8am to 6pm and will resume work from 8pm to 10pm. ....

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Global Deep Learning in Medical Image Processing Market to 2030 with IBM, GE Healthcare and Google Entering into Strategic Alliances with Big Pharma Players


Global Deep Learning in Medical Image Processing Market to 2030 with IBM, GE Healthcare and Google Entering into Strategic Alliances with Big Pharma Players
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The Deep Learning Market: Focus on Medical Image Processing, 2020-2030 report features an extensive study on the current market landscape offering an informed opinion on the likely adoption of such solutions over the next decade. The study presents an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this domain.
One of the key objectives of this report was to estimate the existing market size and the future growth potential within the deep learning market (medical image processing segment), such as global radiology spending across countries, number of radiologists employed across different regions of globe, annual salary of radiologists, rate of adoption of deep learning-based ....

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