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Cells as the first data scientists.

Michael L WongAnirudh Prabhu
Published in: Journal of the Royal Society, Interface (2023)
The concepts that we generally associate with the field of data science are strikingly descriptive of the way that life, in general, processes information about its environment. The 'information life cycle', which enumerates the stages of information treatment in data science endeavours, also captures the steps of data collection and handling in biological systems. Similarly, the 'data-information-knowledge ecosystem', developed to illuminate the role of informatics in translating raw data into knowledge, can be a framework for understanding how information is constantly being transferred between life and the environment. By placing the principles of data science in a broader biological context, we see the activities of data scientists as the latest development in life's ongoing journey to better understand and predict its environment. Finally, we propose that informatics frameworks can be used to understand the similarities and differences between abiotic complex evolving systems and life.
Keyphrases
  • electronic health record
  • big data
  • public health
  • data analysis
  • machine learning
  • artificial intelligence
  • cell proliferation
  • signaling pathway
  • oxidative stress
  • life cycle
  • cross sectional
  • cell cycle arrest
  • pi k akt