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The Lancet: Most patients hospitalised with COVID-19 have at least one symptom six months after falling ill, Wuhan follow-up study suggests

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Study of 1,733 patients first diagnosed in Wuhan (China) between January and May followed to June and September.
76% of COVID-19 patients have at least one symptom six months after symptom onset.
Fatigue or muscle weakness is the most common symptom, with sleep difficulties and anxiety or depression also frequently reported.
Lower antibodies against COVID-19 in patients six months after becoming ill compared with during acute infection raises concerns about the possibility of re-infection.
More than three quarters of COVID-19 patients have at least one ongoing symptom six months after initially becoming unwell, according to research published in
The Lancet.
The cohort study, looking at long-term effects of COVID-19 infection on people hospitalised in Wuhan, China, reveals that the most common symptom to persist is fatigue or muscle weakness (63% of patients), with patients also frequently experiencing sleep difficulties (26%). Anxiety or d ....

Jin Yin Tan , Giuseppe Remuzzi , Norberto Perico , Monica Cortinovis , Ricerche Farmacologiche Mario Negri , National Center , Union Medical College Foundation China Evergrande Group , Academy Of Medical Sciences , Jack Ma Foundation , Capital Medical University , Development Program Of China , Natural Science Foundation Of China , National Key Research , Sunshine Charity Foundation , Major Projects Of National Science , Development Of Pulmonary Tuberculosis , Ping An Insurance Group , Bin Cao , Respiratory Medicine , China Japan Friendship Hospital , Jin Yin Tan Hospital , Natural Science Foundation , Chinese Academy , Medical Sciences Innovation Fund , Medical Sciences , Development Program ,

6-month consequences of COVID-19 in patients discharged from hospital: a cohort study

6-month consequences of COVID-19 in patients discharged from hospital: a cohort study
thelancet.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thelancet.com Daily Mail and Mail on Sunday newspapers.

Union Medical College Foundation , National Natural Science Foundation Of China , National Key Research , Major Projects Of National Science , Development Of Pulmonary Tuberculosis , Development Program Of China , Jin Yin Tan Hospital , Lopinavir Trial , Natural Science Foundation , Chinese Academy , Medical Sciences Innovation Fund , Medical Sciences , Development Program , Major Projects , National Science , New Drug Creation , Pulmonary Tuberculosis , Peking Union Medical College , தொழிற்சங்கம் மருத்துவ கல்லூரி அடித்தளம் , தேசிய இயற்கை அறிவியல் அடித்தளம் ஆஃப் சீனா , தேசிய விசை ஆராய்ச்சி , முக்கிய ப்ராஜெக்ட்ஸ் ஆஃப் தேசிய அறிவியல் , வளர்ச்சி ஆஃப் நுரையீரல் காசநோய் , வளர்ச்சி ப்ரோக்ர்யாம் ஆஃப் சீனா , ஜின் யின் பழுப்பு மருத்துவமனை , இயற்கை அறிவியல் அடித்தளம் ,

A genome-wide CRISPR-based screen identifies KAT7 as a driver of cellular senescence

1State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
2State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
3National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
4University of Chinese Academy of Sciences, Beijing 100049, China.
5Beijing Advanced Innovation Center for Genomics, Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.
6Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
7Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China. ....

Committee Of The Institute Zoology , Municipal Commission Of Health , Wt Wicell Research , Soil Red , Youth Innovation Promotion Association , Cell Signaling Technology , Graphpad Software , Computer Network Information Center , Key Laboratory Of Stem Cell , Kc Wong Education Foundation , National Natural Science Foundation Of China , Innovation Center , Young Elite Scientists Sponsorship Program , Natural Science Foundation , Development Program Of China , Chinese Academy Of Sciences , Program Of Beijing Municipal Science , Vital River Laboratory Animal Technology Co , National Key Research , Key Laboratory Of Membrane Biology , G Cell Signaling Technology , Technology Commission , Institutional Animal Care , Use Committee , Chinese Academy , Beijing Vital River Laboratory Animal Technology ,

International research team calls for 'glocal' approach to help mitigate flooding damage

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IMAGE: By coupling a large-scale hydrological model with a local-scale, high-resolution hydraulic model and urban flood model while integrating multiple sources of ground and satellite remote sensing data, a Glocal (global.
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Credit: Advances in Atmospheric Sciences
Large-scale global forecasting and on-the-ground observations need to meld into one system to better predict and prevent wide-spread flooding disasters, according to an international research team who published a short view in
A glocal global to local hydrometeorological solution for floods is considered to be critical for better preparedness, mitigation, and management of different types of significant precipitation-caused flooding, which happen extensively almost every year and in many countries, such as China, India and the United States, said paper author Huan Wu, professor and deputy director in the Guangdong Province Key Laboratory for Climate Change and ....

Yangtze River , China General , United States , City Of , United Kingdom , Syun Chen , Zhong Lu , Qiang Zhu , Chuan Wu , Zhijun Huang , Zhifang Wu , Weitian Chen , Xiaomeng Li , Hui Xu , Lorenzo Alfieri , Guangdong Meteorological Center , National Meteorological Center , Guangdong Province Key Laboratory For Climate , University Of Maryland , University Of Colorado Boulder , Advances In Atmospheric Sciences On Dec , Guangdong Climate Center , School Of Atmospheric Sciences , University Of Bristol , Research Foundation , Guangxi Climate Center ,

Artificial intelligence predicts gestational diabetes in Chinese women

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WASHINGTON Machine learning, a form of artificial intelligence, can predict which women are at high risk of developing gestational diabetes and lead to earlier intervention, according to a new study published in the Endocrine Society s
Journal of Clinical Endocrinology & Metabolism.
Gestational diabetes is a common complication during pregnancy that affects up to 15 percent of pregnant women. High blood sugar in the mother can be dangerous for the baby and lead to complications like stillbirth and premature delivery. Most women are diagnosed with gestational diabetes during the second trimester, but some women are at high risk and could benefit from earlier intervention. ....

Yu Wang , South Australia , Cheng Li , Shen Kang , United States , Ting Wu , Andrew Kawai , Yi Shi , Chen Jie Zhang , Lei Chen , Jian Zhong Sheng , Monash University , Endocrine Society , Zhejiang University In , Innovation Fund For Medical Sciences , Natural Science Foundation Of Shanghai , Shanghai Jiao Tong University School Of Medicine , National Natural Science Foundation Of China , Program Of Shanghai Academic Research Leader , Clinical Technology Innovation , Foundation Of Shanghai Municipal Commission Health , Development Program Of China , Shanghai Jiao Tong University , Shanghai Shenkang Hospital Development Center , International Peace Maternity , National Key Research ,