Machine-Learning Tool DNA-Based Analysis of Airborne Fungal Assemblages Applied to Homes in Australia

Exposure to mold growth within indoor environments has been associated with adverse and chronic respiratory conditions. This study aimed to present an extension of a mold classification tool (MCT), built upon DNA sequencing data from indoor air samples collected from inspector-verified moldy and non-moldy homes over the course of a 10-year study in the USA.

This presentation provides results related to the application/reliability of the MCT specific to Australian homes. A cross-sectional observational study involving ~100 residential properties (mix of clean/dry homes and mold contaminated) was conducted across three major Australian regions. This presentation reports to the value of the MCT in Australian homes, generating robust empirical evidence to: 
– Quantifiably characterise the “normal” fungal ecology in homes that are clean, dry, and free of visible water damage or mold. 
– Compare these results with fungal ecology in water-damaged or mold-contaminated homes.