Harnessing AI tools for life science research

AI Summary

Artificial intelligence (AI) has yet to fully understand human complexity, but it can help us understand our physical bodies and improve human health. The journal Quantitative Biology has published articles exploring the potential of AI in life science research. Machine learning and AI have the potential to revolutionize science and technology and have a significant impact on human life. The journal serves as a platform for intellectual discussions on AI. Summary unavailable.

Artificial intelligence (AI) may attempt to mimic the human brain, but it has yet to fully grasp the complexity of what it means to be human. While it may not truly understand feelings or original creativity, it can help us better understand ourselves -; especially our physical bodies in health and in disease, according to a series of articles recently published by the journal Quantitative Biology.

The peer-reviewed papers -; a variety of editorials, perspectives and commentaries on AI for life science -; assess the rapid development of AI and recent attention to Chat GPT and how life science researchers may be able to harness such AI tools to improve human health and understanding.

“There is now doubt that machine learning and AI have brought a new revolution in science and technology and will deliver huge unforeseeable impact to human everyday life, as well as to social relationships,” said Michael Q. Zhang, the Cecil H. and Ida Green Distinguished Chair of Systems Biology Science and professor of biological sciences at the University of Texas, Dallas. He serves as co-editor-in-chief of Quantitative Biology, which is published quarterly by Higher Education Press, and penned an editorial promoting AI for life science. “In this context, Quantitative Biology could be a great platform for encouraging intellectual discussions on the topic.”

Zhang said he wrote the editorial, “Dialog between artificial intelligence & natural intelligence,” to prompt conversation among researchers and students. In it, he imagined a conversation between AI and natural intelligence (NI),

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Categorized as Immunology

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