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Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR Pigmented rice contains beneficial phenolic antioxidants but analysing them across germplasm collections is laborious and time-consuming. Here we util…

📢 Exciting Publication Alert!

We’ve pioneered a rapid, high-throughput platform for profiling phenolic antioxidants in black rice using ATR-FTIR spectroscopy integrated with machine learning (ML): www.sciencedirect.com/science/arti...

#Agriculture #MachineLearning #RiceResearch #FoodChemistry

It's great hosting and catching up with Prof Karen Tanino from University of Saskatchewan to talk about the progress of our AgriFutures-funded project on rice water use efficiency.

Excellent presentation during the flash talk

Renee and her poster

Photo with Renee

Congratulations to Renee De Boer in presenting a flash talk of her poster on Genomic Characterisation of the Australian Rice Diversity Panel Based on Genotyping-By-Sequencing Data in AMSI #BioinfoSummer

First day of AMSI #BioinfoSummer conference and workshop done and dusted. Interesting concepts in whole cell modelling that I'd like to implement for our lactic and acetic acid bacterial strains.

Workshops for AMSI #BioinfoSummer commences

Markus Covert - BIS 2024 Saving the Tasmanian Devil from Extinction

Prof Markus Covert presented a fascinating talk on whole cell modelling for E. coli at #AMSI #BioinfoSummer

bis.amsi.org.au/speakers/mar...