Editorial: Artificial Intelligence in Environmental Microbiology

Mohammad-Hossein Sarrafzadeh; Seyed Soheil Mansouri; Javad Zahiri; Solange I Mussatto; Hashem Asgharnejad

doi:10.3389/fmicb.2022.944242

Editorial: Artificial Intelligence in Environmental Microbiology

Front Microbiol. 2022 Jun 13:13:944242. doi: 10.3389/fmicb.2022.944242. eCollection 2022.

Authors

Mohammad-Hossein Sarrafzadeh¹, Seyed Soheil Mansouri², Javad Zahiri^{3

4}, Solange I Mussatto⁵, Hashem Asgharnejad⁶

Affiliations

¹ School of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
² Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.
³ Department of Neuroscience, University of California, San Diego, San Diego, CA, United States.
⁴ Department of Pediatrics, University of California, San Diego, San Diego, CA, United States.
⁵ Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.
⁶ Department of Civil, Geological, and Mining Engineering, Polytechnique Montréal, Montreal, QC, Canada.

No abstract available

Keywords: artificial intelligence; deep learning; environmental microbiology; image analysis; machine learning; metagenomics; predictive modeling.

Publication types

Editorial