Forensic Entomology and Diptera Studies

The Human Metabolome and Machine Learning Improves Predictions of the Post-Mortem Interval

This study uses metabolomic data and machine learning to predict post-mortem interval with high accuracy, outperforming other models and showing the feasibility of using small datasets.

Unraveling forensic timelines using molecular markers in Phormia regina maggots

This study identifies molecular markers in Phormia regina maggots to improve time of death estimation by analyzing transcriptomic signatures and gene expression patterns.

Investigating the impact of X-rays on decay: X-ray computed tomography as a non-invasive visualisation technique for sediment-based decay experiments

This study tests the impact of X-ray computed tomography (XCT) on decay of Danio rerio carcasses in sediment, finding no deviation in decay sequence and validating XCT as a non-destructive visualization method.

Microbiology and Anthropology: a multidisciplinary approach for estimating time since death during Winter in rural New South Wales, Australia.

This study combines anthropological and microbiological methods to estimate time since death in winter conditions using microbial community changes.

PMI estimation through metabolomics and potassium analysis on animal vitreous humour

This study estimates post-mortem interval (PMI) using metabolomics and potassium analysis in ovine vitreous humour, showing metabolomics provides better accuracy than potassium alone for PMI up to 48 hours.

Development of larvae of the Australian blowfly, Calliphora augur (Diptera: Calliphoridae), at constant temperatures

This study develops thermal summation models for the development of Calliphora augur larvae at constant temperatures, enabling age estimation from developmental stage and length.