An undated photo shows an elderly woman dining at a nursing home in Hangzhou, East China's Zhejiang province. [Photo by Sun Yidou/Provided to China Daily] With an increasingly aging population in China, a country where supposedly the mention of death is seen as taboo, it appears that acceptance of palliative care is growing, said Tang Jianzhong, head of Yunnan New Kun Hua Hospital. The World Health Organization defines palliative care as an approach that improves the quality of life of both patients and their families when faced with life-threatening illness. In comparison with traditional medical treatments, which emphasize curing the diseases, palliative care advocates for pain relief and allows them to die peacefully. Unlike euthanasia, it focuses on providing relief from the symptoms, pain, physical stress, and mental stress at any stage of illness. Riding on the success of its first healthcare cooperation project in Yunnan, the Singapore International Foundation launched the Enhancing Palliative Care in Yunnan, China project in partnership with the Yunnan New Kun Hua Hospital and the Yunnan Health and Development Research Association, as well as Singapore's Tan Tock Seng Hospital on Monday. Supported by the Health Commission of Yunnan province and Health Commission of Kunming, the three-year collaboration kicked off on Monday at the Yunnan New Kun Hua Hospital with a province-wide symposium that brought together healthcare professionals from Singapore and China to discuss the way forward on palliative care. China and Singapore have in recent years placed increasing importance on palliative care given rapidly aging populations and increases in non-communicable, life-threatening medical conditions. silicone braceletsfuck cancer bracelet
CHANGSHA -- A research team with Hunan University has successfully developed an artificial intelligence (AI) algorithm that can swiftly detect diabetic retinopathy.The algorithm enables doctors to find signs of diabetic retinopathy from pictures with the help of a supercomputer center.After analyzing more than 80,000 retinal images, we found that the AI algorithm had a 91 percent accuracy rate of detecting diabetic retinopathy, which is on par with an ophthalmologist, said Xi Ziwei, a member of the research team.AI detection takes only one thirtieth of the time used by an ophthalmologist, enabling it to screen more cases and reduce human error, Xi said, adding that ophthalmologists are in short supply in China, particularly at the community level.Early detection of diabetic retinopathy improves outcomes in a disease that is a major cause of vision loss.
