Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River

Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River

ABSTRACT Drowning incidents present significant challenges for forensic investigators in determining the exact site of occurrence. Traditional forensic methods often rely on physical evidence and circumstantial clues, but the emerging field of forensic microbiology offers a promising avenue for enha...

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Bibliographic Details
Main Authors: Qin Su, Xiaofeng Zhang, Xiaohui Chen, Zhonghao Yu, Weibin Wu, Qingqing Xiang, Chengliang Yang, Jian Zhao, Ling Chen, Quyi Xu, Chao Liu
Format: Article
Language:English
Published: American Society for Microbiology 2025-01-01
Series:Microbiology Spectrum
Subjects:
submersion time
animal species
cross-species
machine learning
inference of drowning sites
Online Access:https://journals.asm.org/doi/10.1128/spectrum.01321-24
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https://journals.asm.org/doi/10.1128/spectrum.01321-24

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