Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies: results of the AIRLESS project

Lia Chatzidiakou(University College London), R. L. Jones(University of Cambridge), Yiqun Han(Mayo Clinic), Anika Krause(University of Cambridge), Junfeng Zhang(Hainan University), Benjamin Barratt(King's College London), Yingruo Li(Peking University), Paul Elliott(Ipsen (France)), Min Hu(University at Buffalo, State University of New York), Yunfei Fan(Capital Medical University), Olalekan Popoola(University of Cambridge), Tao Xue(Peking University), Majid Ezzati(University of Ghana), Meiping Zhao(Peking University), Jing Liu(Dezhou University), Yutong Cai(NIHR Leicester Biomedical Research Centre), Pengfei Liang(Duke University), Mike Kellaway(University of Bedfordshire), Queenie Chan(University of Ioannina), Aoming Jin(National Clinical Research Center for Digestive Diseases), Yan Luo(Ministry of Education of the People's Republic of China), Wu Chen(Hong Kong Polytechnic University), Xi Chen(University of Pittsburgh), Teng Wang(Peking University), Tong Zhu(Institute for Nuclear Research), Li Yan(King's College London), Yanwen Wang(Peking University), Shiyi Chen(East China University of Science and Technology), Xueyu Han(Capital Medical University), Wuxiang Xie(Peking University), Hanbin Zhang(King's College London), Qi Wang(Peking University), Gaoqiang Xie(Peking University), Yangfeng Wu(Peking University)
Journal of Exposure Science & Environmental Epidemiology
August 12, 2020
Cited by 38


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