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Published: June 1, 2021 Scientists have begun the search for extraterrestrial life in the Solar System in earnest, but such life may be subtly or profoundly different from Earth-life, and methods based on detecting particular molecules as biosignatures may not apply to life with a different evolutionary history. A new study by a joint Japan/US-based team, led by researchers at the Earth-Life Science Institute (ELSI) at the Tokyo Institute of Technology, has developed a machine learning technique which assesses complex organic mixtures using mass spectrometry to reliably classify them as biological or abiological. Figure 1. It is not life as we know or understand it.

Nicholas guttenbergTomohiro mochizukiChuan chenJim cleavesUs national maglabLife science instituteNational maglabNational high magnetic field laboratoryTokyo institute of technologyUs national science foundationStar trekSolar systemEarth life science instituteTokyo instituteScience foundationScientists find molecular patterns that may help identify extraterrestrial life