🔊Applications invited: hashtag#Funded BITS–RMIT hashtag#PhD program offering international experience.
We have two #WomenHealth oriented #DigitalHealth projects listed. These projects are designed to look at unique Australian and Indian context of different womens health outcome questions.
We are delighted to announce that #ABACBS2026 will be held at RMIT, Melbourne CBD campus from 16th to 20th November 2026. Big thanks to A/Prof. Sonika Tyagi and team for leading this years organising! More details and official conference launch to follow! #bioinformatics @combine1.bsky.social
The article by Sam Mainwood and Aashish Bhandari is now published.
dl.acm.org/doi/10.1145/...
A book chapter from the lab:
This chapter explores multi-omics integrative studies enabled by machine learning, presenting an overview of state-of-the-art methodologies and the foundational background. Suitable for both beginners & advanced bioinformaticians
www.sciencedirect.com/science/chap...
Congratulations @aashishbhandari.com 👏
👏
@tsonika.bsky.social @yashpalr.bsky.social @esha4.bsky.social @naimavahab.bsky.social @aashishbhandari.com @muraliaadhitya.bsky.social
🔈 *** Deadline extended to 26 Jan 2026 **** 🔈
Applications are now open for the second call of the Australia-Spain Network for Innovation and Research Excellence (AuSpire), a postdoctoral network co-funded by the European Union.
🔗 More details on the project: lnkd.in/gZgg7PVm
Team day out @tyagilab.bsky.social
Our lab head, @tsonika.bsky.social, presented at the 2025 Victorian Affiliation of Research Nurses Inc. Conference on the applications of AI in clinical trials.
The session sparked a great exchange of ideas with delegates, highlighting the excitement and opportunities in this rapidly evolving field.
Our latest paper presents EHR-QC 2.0, a major upgrade to our open-source pipeline for preparing and standardising biomedical & genomic EHR data for machine learning.
🔍 What’s new:
LLM-enabled clinical vocabulary mapping
Support for FHIR
A web-based interface
🔗 papers.ssrn.com/sol3/papers....
Our latest review explores how RNA foundation models are reshaping predictions of ncRNA structure & function.
We highlight key architectures, training strategies, and open challenges to guide the next phase of RNA-AI research.
Read here 👉 link.springer.com/article/10.1...
Our latest paper combines multi-omics integration with genome-scale NLP models trained on DNA to uncover how S. aureus regulates infection, metabolism, and antibiotic resistance.
This unique organism agnostic method offers a new lens for systems-level biology.
🔗 www.nature.com/articles/s41...
DM us for online meeting link
📢 Join us for the next Digital Health Reading Group!
We’ll be diving into fairness, bias, and ethics in AI for healthcare from the book - Fairness and Machine Learning: Limitations and Opportunities.
🗓️ Thu, 16 Oct 2025
🕧 12:30–1:30 pm
📍 Room 014.10.035A, RMIT University, Melbourne + online (Teams)
Research published in 2024 by our lab member @naimavahab.bsky.social and continue to use this for future work on elucidating biological regulatory pathways.
Congratulations!!
thanks for sharing
Kudos to Naima Vahab for presenting her PhD research at "Storytelling for Impactful Research (STIR) Competition " at RMIT STEM College. What an amazing opportunity for polishing your #scicomm skills and knowledge sharing across STEM disciplines.
@tyagilab.bsky.social @rmitcomputing.bsky.social
Contributions to review on graph learning:
We had a fantastic day for team building and a send-off lunch and marking our mid-season break. It was a lovely opportunity to come together and celebrate, with some intense competition on the bowling lanes! 😆
We will miss having you around at @tyagilab.bsky.social @muraliaadhitya.bsky.social 🙌🏽
Legitimacy vs Fairness in automated decision making.
A summary from our recent book club reading by @esha4.bsky.social of the #TyagiLab
aiineverything.blogspot.com/2025/07/when...
@tsonika.bsky.social
#foundationsofAI #AI #teaching
#Repost #AI #machinelearning #historyofAI
What is AI ?
aiineverything.blogspot.com/2025/07/ai-i...
Lab represents at Monash Translation Medicine student symposium and 3MT competition.
Well done!
#3mt #threeminutesthesis #phd #ecr #tyagilab
#Interpretable vs #explainable #AI
📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖
Lab lunch @QVM Melb
New preprint from the lab
@tyagilab.bsky.social
Interoperability and healthcare data : digitalhealth.org.au/blog/getting...
A timely initiative by @tsonika.bsky.social and team at @rmitcomputing.bsky.social
