In spite of efforts to combine research across different experimental psychology of biology, the extent of integration relics limited. We imagine that prospect generations of Artificial Intelligence (AI) technologies particularly personalized for biological sciences will assist to permit the reintegration of biology. AI technologies will allocate us not only to collect, connect, and analyze data at unparalleled scales, but also to make wide-ranging analytical models that extent various sub disciplines. They will make probable both embattled (testing exact hypotheses) and untargeted discoveries. AI for biology will be the cross-cutting knowledge that will augment our ability to do biological research at every scale. We anticipate AI to modernize biology in the 21st century much like information changed biology in earlier century. The complications, on the other hand including data curation and gathering, increase of new science in the form of theories that bond the subdisciplines, and new analytical and interpretable AI models that are further suited to biology than active machine knowledge and AI techniques. Enlargement efforts will entail strong collaborations between organic and computational scientists.
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