We are hosting the 2026 @abacbs.bsky.social conference at RMIT University City Campus Melbourne on 16-20 Nov 2026. Hope to see you there.
AI in Digital Health & Bioinformatics Lab
@tyagilab.bsky.social
We are based at Data Science & AI division of RMIT School of Computing Technologies, RMIT University, Australia https://rmit.edu.au/sonika-tyagi-lab
🚨 New Report: Australia’s digital health future depends on a workforce we don’t yet have. Our latest report reveals a critical shortage in Clinical Information Modelling skills - the "human bridge" between healthcare and data - putting national interoperability goals like Sparked and AUCDI at risk.
🔊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.
This link will take you to a page that’s not on LinkedIn
lnkd.in
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/...
Semantic Encoding in Medical LLMs for Vocabulary Standardisation | Proceedings of the 2025 18th Health Informatics Knowledge Management Conference
dl.acm.org
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...
Multi‐omics applications in health and diseases
Multi-omics research has transformed our ability to study biological systems by capturing information across multiple molecular layers, including geno…
sciencedirect.com
Congratulations @aashishbhandari.com 👏
Aashish Bhandari@aashishbhandari.com · 7mo agoDelighted to share the publication of our paper "𝘈 𝘤𝘰𝘮𝘱𝘢𝘳𝘢𝘵𝘪𝘷𝘦 𝘦𝘷𝘢𝘭𝘶𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘩𝘢𝘯𝘥𝘭𝘪𝘯𝘨 𝘮𝘪𝘴𝘴𝘪𝘯𝘨 𝘥𝘢𝘵𝘢 𝘱𝘰𝘪𝘯𝘵𝘴 𝘢𝘯𝘥 𝘮𝘰𝘥𝘢𝘭𝘪𝘵𝘪𝘦𝘴 𝘪𝘯 𝘦𝘭𝘦𝘤𝘵𝘳𝘰𝘯𝘪𝘤 𝘩𝘦𝘢𝘭𝘵𝘩 𝘳𝘦𝘤𝘰𝘳𝘥𝘴" in the 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗝𝗼𝘂𝗿𝗻𝗮𝗹 𝗼𝗳 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀! www.sciencedirect.com/science/arti...
🔈 *** 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
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....
<span>An accessible pipeline for LLM-driven medical concept mapping, automated OMOP and FHIR conversion</span>
Background:Our previous work introduced the open-source EHR-QC pipeline. This pipeline implements extraction, transform and load (ETL), pre-processing and quali
papers.ssrn.com
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...
Advancing non-coding RNA annotation with RNA sequence foundation models: structure and function perspectives - BMC Artificial Intelligence
Noncoding RNAs (ncRNAs) form the major part of the expressed transcriptome. These are critical in regulating gene expression and contributing to disease mechanisms, primarily through their complex sec...
link.springer.com
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...
Understanding the regulatory grammar of sepsis-causing Staphylococcus aureus bacteria using contexualised DNA language models - Scientific Reports
Scientific Reports - Understanding the regulatory grammar of sepsis-causing Staphylococcus aureus bacteria using contexualised DNA language models
nature.com
📢 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.
@naimavahab.bsky.social · 11mo agoA versatile machine learning pipeline to find co-regulatory modules (CRMs) in DNA. Check it out and explore: doi.org/10.1016/j.co... #Genomics #Epigenomics #MachineLearning #CardiacResearch #OpenScience @tyagilab.bsky.social @tsonika.bsky.social
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:
arXiv cs.LG Machine Learning@cslg-bot.bsky.social · last yr.Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou, Jiangang Ma, Sonika Tyagi, Feng Xia: Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification https://arxiv.org/abs/2506.15708 https://arxiv.org/pdf/2506.15708 https://arxiv.org/html/2506.15708
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
Sonika Tyagi@tsonika.bsky.social · last yr.Discussing 4 approaches to defining #AI "Understanding these four perspectives i.e. acting humanly, thinking humanly, thinking rationally, and acting rationally, gives us a framework to appreciate the richness and diversity of AI." aiineverything.blogspot.com/2025/07/four... @tyagilab.bsky.social
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 📖
@esha4.bsky.social · last yr.New Blog: Interpretability vs Explainability in ML Why understanding model decisions matters for ethical AI. 👉 aiineverything.blogspot.com/2025/07/mach... With @tyagilab.bsky.social, A/Prof. Sonika Tyagi & Navya Tyagi #XAI #AIethics #ML #TyagiLab
Interoperability and healthcare data : digitalhealth.org.au/blog/getting...
Getting to the Core of Implementing Australia's Accelerating Interoperability Standards - VIC Brand Event - AIDH
AIDH is Australasia’s peak body for digital health representing a united and influential single voice for health informatics and digital health leaders and practitioners. Become a Member or Fellow and...
digitalhealth.org.au