TY - JOUR
T1 - Artificial intelligence for life sciences
T2 - A comprehensive guide and future trends
AU - Luo, Ming
AU - Yang, Wenyu
AU - Bai, Long
AU - Zhang, Lin
AU - Huang, Jia Wei
AU - Cao, Yinhong
AU - Xie, Yuhua
AU - Tong, Liping
AU - Zhang, Haibo
AU - Yu, Lei
AU - Zhou, Li Wei
AU - Shi, Yi
AU - Yu, Panke
AU - Wang, Zuoyun
AU - Yuan, Zuoqiang
AU - Zhang, Peijun
AU - Zhang, Youjun
AU - Ju, Feng
AU - Zhang, Hongbin
AU - Wang, Fang
AU - Cui, Yuanzheng
AU - Zhang, Jin
AU - Jia, Gongxue
AU - Wan, Dan
AU - Ruan, Changshun
AU - Zeng, Yue
AU - Wu, Pengpeng
AU - Gao, Zhaobing
AU - Zhao, Wenrui
AU - Xu, Yongjun
AU - Yu, Guangchuang
AU - Tian, Caihuan
AU - Jin, Ling N.
AU - Dai, Ji
AU - Xia, Bingqing
AU - Sun, Baojun
AU - Chen, Fei
AU - Gao, Yi Zhou
AU - Wang, Haijun
AU - Wang, Bing
AU - Zhang, Dake
AU - Cao, Xin
AU - Wang, Huaiyu
AU - Huang, Tao
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/12/9
Y1 - 2024/12/9
N2 - Artificial intelligence has had a profound impact on life sciences. This same time, it points out the challenges faced by artificial intelligence in the review discusses the application, challenges, and future development application of life sciences, such as data quality, black-box problems, and directions of artificial intelligence in various branches of life sciences, ethical concerns. The future directions are prospected from technological including zoology, plant science, microbiology, biochemistry, molecular innovation and interdisciplinary cooperation. The integration of Bio-Tech-biology, cell biology, developmental biology, genetics, neuroscience, nologies (BT) and Information-Technologies (IT) will transform the psychology, pharmacology, clinical medicine, biomaterials, ecology, and biomedical research into AI for Science and Science for AI paradigm. environmental science. It elaborates on the important roles of artificial intelligence in aspects such as behavior monitoring, population dynamic prediction, microorganism identification, and disease detection.
AB - Artificial intelligence has had a profound impact on life sciences. This same time, it points out the challenges faced by artificial intelligence in the review discusses the application, challenges, and future development application of life sciences, such as data quality, black-box problems, and directions of artificial intelligence in various branches of life sciences, ethical concerns. The future directions are prospected from technological including zoology, plant science, microbiology, biochemistry, molecular innovation and interdisciplinary cooperation. The integration of Bio-Tech-biology, cell biology, developmental biology, genetics, neuroscience, nologies (BT) and Information-Technologies (IT) will transform the psychology, pharmacology, clinical medicine, biomaterials, ecology, and biomedical research into AI for Science and Science for AI paradigm. environmental science. It elaborates on the important roles of artificial intelligence in aspects such as behavior monitoring, population dynamic prediction, microorganism identification, and disease detection.
UR - https://www.scopus.com/pages/publications/105032768714
U2 - 10.59717/j.xinn-life.2024.100105
DO - 10.59717/j.xinn-life.2024.100105
M3 - 文献综述
AN - SCOPUS:105032768714
SN - 2959-8761
VL - 2
JO - Innovation Life
JF - Innovation Life
IS - 4
M1 - 100105
ER -