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Amazing work from yashpal and A/Prof Sonika Tyagi. Really useful infrastructure for unlocking the potential of #EHR data by addressing some of its inherent messiness! Thanks for involving me in this project.

Excited to share our work using phages to identify bacterial pathogens in sepsis. Because phages are highly specific for their bacterial hosts, they offer strain-level resolution that could enhance cell free DNA diagnostics nature.com/articles/s4156…

More work from the fabulous Tori Hall. Great to have some local data in this vulnerable population

This is great news... finally some movement on respiratory viruses beyond COVID!

Amazing work David van Duin and team!

Pseudomonas: bad bug, few drugs and complex resistance making AMR diagnosis hard. What about MALDI-TOF? We show that it is feasible to use MALDI-TOF with AI to predict AMR for Pseudomonas (at least for some drugs). A thread (1/5) biorxiv.org/content/10.110…

Wonderful first pre-print from Andy Nguyen's PhD and a first for the Macesic Lab! Feasibility of predicting Pseudomonas AMR using MALDI-TOF data. At risk of making a long acronym longer... AI-MALDI. Great job Andy 🎉🎉🎉🙌 AdrianEgli78

Very excited to receive the 2023 Doherty Collaborative Seed Grant for our project on using #AI, #genomics and high-throughput phenotypic screens to predict antibiotic response in Staphylococcus aureus sepsis. Looking forward to collaborating with SNAP Trial

Congrats Stefano! Look forward to hearing about exciting findings.

#WCNSF. Hard to conceive of a more tragic acronym.