Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring

RB Ghannam, SM Techtmann - Computational and Structural …, 2021 - Elsevier
Advances in nucleic acid sequencing technology have enabled expansion of our ability to
profile microbial diversity. These large datasets of taxonomic and functional diversity are key …

Application of microbiome in forensics

J Zhang, W Liu, H Simayijiang, P Hu… - Genomics, Proteomics & …, 2023 - academic.oup.com
Recent advances in next-generation sequencing technologies and improvements in
bioinformatics have expanded the scope of microbiome analysis as a forensic tool …

Predicting measures of soil health using the microbiome and supervised machine learning

RC Wilhelm, HM van Es, DH Buckley - Soil Biology and Biochemistry, 2022 - Elsevier
Soil health encompasses a range of biological, chemical, and physical soil properties that
sustain the commercial and ecological value of agroecosystems. Monitoring soil health …

Potential risks of CO2 removal project based on carbonate pump to marine ecosystem

L Duan, J Song, X Li, H Yuan, W Zhuang - Science of the Total Environment, 2023 - Elsevier
The development of marine carbon sequestration project has an important potential for
carbon neutralization in the short-term (several decades). Marine carbon sequestration …

The applicability of forensic time since death estimation methods for buried bodies in advanced decomposition stages

S Pittner, V Bugelli, ME Benbow, B Ehrenfellner… - PLoS …, 2020 - journals.plos.org
Estimation of the postmortem interval in advanced postmortem stages is a challenging task.
Although there are several approaches available for addressing postmortem changes of a …

Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies

R Sharma, AR Bhute, BK Bastia - Forensic science international, 2022 - Elsevier
Background/purpose Establishing an accurate postmortem interval (PMI) is exceptionally
crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models …

Advances in artificial intelligence-based microbiome for PMI estimation

Z Wang, F Zhang, L Wang, H Yuan, D Guan… - Frontiers in …, 2022 - frontiersin.org
Postmortem interval (PMI) estimation has always been a major challenge in forensic
science. Conventional methods for predicting PMI are based on postmortem phenomena …

Predicting the postmortem interval of burial cadavers based on microbial community succession

J Zhang, M Wang, X Qi, L Shi, J Zhang, X Zhang… - Forensic Science …, 2021 - Elsevier
Previous studies have demonstrated that microbial community succession during the
decomposition of cadavers could be used to estimate the postmortem interval (PMI) …

Trends in forensic microbiology: from classical methods to deep learning

H Yuan, Z Wang, Z Wang, F Zhang, D Guan… - Frontiers in …, 2023 - frontiersin.org
Forensic microbiology has been widely used in the diagnosis of causes and manner of
death, identification of individuals, detection of crime locations, and estimation of …

Microbial ecology of vertebrate decomposition in terrestrial ecosystems

AR Mason, LS Taylor… - FEMS Microbiology …, 2023 - academic.oup.com
Vertebrate decomposition results in an ephemeral disturbance of the surrounding
environment. Microbial decomposers are recognized as key players in the breakdown of …