Drug discovery is a complex and highly systematic process encompassing multiple critical stages,including target identification,bioactive molecule discovery,preclinical research,clinical trials,regulatory review,post-...Drug discovery is a complex and highly systematic process encompassing multiple critical stages,including target identification,bioactive molecule discovery,preclinical research,clinical trials,regulatory review,post-marketing surveillance,and others[1].This process typically spans many years and is often accompanied by high failure rates and substantial resource consumption.In recent years,driven by large amounts of biomedical data,artificial intelligence(AI)has begun to reshape every stage of drug discovery[2].Particularly,by integrating diverse,high-dimensional datasets with powerful predictive and generative models.展开更多
History has shown that mega engineering projects co-evolve with advancements in fundamental science.For instance,new research opportunities encountered inNational Aeronautics and Space Administration’s(NASA’s)Apollo...History has shown that mega engineering projects co-evolve with advancements in fundamental science.For instance,new research opportunities encountered inNational Aeronautics and Space Administration’s(NASA’s)Apollo Project led to the formulation of system science,and the development of sea-floor drilling for submarine oil exploration provided key evidence for the theory of plate tectonics.Today,there are high expectations that new data sources and technologies,such as big data,artificial intelligence,and digital twins,will bring about a step change in Earth SystemScience(ESS).1 Consequently,the ESS community anticipates the availability of broader,deeper,and higher-resolution data,complemented by longer time series than are currently available.2 Theworld’smost challenging plateau railway,named the Sichuan-Tibet railway(STR)project,aligns well with these emerging scientific requirements.展开更多
As global populations become increasingly aged,existing elderly care models are proving insufficient.The development and application of nursing robots have shown potential in addressing the challenges of elder care in...As global populations become increasingly aged,existing elderly care models are proving insufficient.The development and application of nursing robots have shown potential in addressing the challenges of elder care in aging societies.This perspective outlines current state and potential applications of nursing robots in promoting healthy aging.Given this background,a networked intelligent elderly care model for nursing robots,which integrates technologies such as big data,artificial intelligence,the Internet of Things,and nursing robotics,is proposed.This model would synergistically combine elderly health monitoring,capability assessment,and intelligent allocation functions to revolutionize global elderly care practices and promote healthy aging.展开更多
文摘Drug discovery is a complex and highly systematic process encompassing multiple critical stages,including target identification,bioactive molecule discovery,preclinical research,clinical trials,regulatory review,post-marketing surveillance,and others[1].This process typically spans many years and is often accompanied by high failure rates and substantial resource consumption.In recent years,driven by large amounts of biomedical data,artificial intelligence(AI)has begun to reshape every stage of drug discovery[2].Particularly,by integrating diverse,high-dimensional datasets with powerful predictive and generative models.
基金supported by the National Natural Science Foundation of China(grant no.41941017)the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(grant no.2019QZKK0900).
文摘History has shown that mega engineering projects co-evolve with advancements in fundamental science.For instance,new research opportunities encountered inNational Aeronautics and Space Administration’s(NASA’s)Apollo Project led to the formulation of system science,and the development of sea-floor drilling for submarine oil exploration provided key evidence for the theory of plate tectonics.Today,there are high expectations that new data sources and technologies,such as big data,artificial intelligence,and digital twins,will bring about a step change in Earth SystemScience(ESS).1 Consequently,the ESS community anticipates the availability of broader,deeper,and higher-resolution data,complemented by longer time series than are currently available.2 Theworld’smost challenging plateau railway,named the Sichuan-Tibet railway(STR)project,aligns well with these emerging scientific requirements.
基金supported by the National Key Research and Development Program of China(Grant Nos.2022YFB3805805 and 2022YFB3805804 to G.T.,2023YFC3604300 to D.C.,and 2023YFC3604305 to H.S.)the National Natural Science Foundation of China(Grant Nos.T2425018 and 62175082 to G.T.)+2 种基金the Multidisciplinary Research Support Program of Huazhong University of Science and Technology(Grant No.2023JCYJ039 to G.T.)the Huazhong University of Science and Technology Double First-Class Funds for Humanities and Social Sciences(Sports Industry Research Center of Huazhong University of Science and Technology to G.T.)the China Postdoctoral Science Foundation(2023M731184 to M.Y.).
文摘As global populations become increasingly aged,existing elderly care models are proving insufficient.The development and application of nursing robots have shown potential in addressing the challenges of elder care in aging societies.This perspective outlines current state and potential applications of nursing robots in promoting healthy aging.Given this background,a networked intelligent elderly care model for nursing robots,which integrates technologies such as big data,artificial intelligence,the Internet of Things,and nursing robotics,is proposed.This model would synergistically combine elderly health monitoring,capability assessment,and intelligent allocation functions to revolutionize global elderly care practices and promote healthy aging.
