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
https://rmit.edu.au/sonika-tyagi-lab
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.
The session sparked a great exchange of ideas with delegates, highlighting the excitement and opportunities in this rapidly evolving field.
October 21, 2025 at 12:37 AM
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.
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....
🔍 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
October 14, 2025 at 9:25 PM
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....
🔍 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...
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
October 14, 2025 at 9:18 PM
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...
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...
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
www.nature.com
October 14, 2025 at 9:11 PM
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...
This unique organism agnostic method offers a new lens for systems-level biology.
🔗 www.nature.com/articles/s41...
📢 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)
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)
October 13, 2025 at 5:28 AM
📢 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)
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.
A 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
Check it out and explore: doi.org/10.1016/j.co...
#Genomics #Epigenomics #MachineLearning #CardiacResearch #OpenScience
@tyagilab.bsky.social @tsonika.bsky.social
September 25, 2025 at 4:24 AM
Research published in 2024 by our lab member @naimavahab.bsky.social and continue to use this for future work on elucidating biological regulatory pathways.
Reposted by AI in Digital Health & Bioinformatics Lab
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
@tyagilab.bsky.social @rmitcomputing.bsky.social
September 3, 2025 at 11:10 PM
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
@tyagilab.bsky.social @rmitcomputing.bsky.social
Reposted by AI in Digital Health & Bioinformatics Lab
Contributions to review on graph learning:
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
August 27, 2025 at 2:28 AM
Contributions to review on graph learning:
Reposted by AI in Digital Health & Bioinformatics Lab
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 🙌🏽
We will miss having you around at @tyagilab.bsky.social @muraliaadhitya.bsky.social 🙌🏽
August 7, 2025 at 4:06 AM
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 🙌🏽
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
A summary from our recent book club reading by @esha4.bsky.social of the #TyagiLab
aiineverything.blogspot.com/2025/07/when...
@tsonika.bsky.social
July 25, 2025 at 2:14 AM
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
A summary from our recent book club reading by @esha4.bsky.social of the #TyagiLab
aiineverything.blogspot.com/2025/07/when...
@tsonika.bsky.social
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
"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
aiineverything.blogspot.com
July 21, 2025 at 11:28 PM
Lab represents at Monash Translation Medicine student symposium and 3MT competition.
Well done!
#3mt #threeminutesthesis #phd #ecr #tyagilab
Well done!
#3mt #threeminutesthesis #phd #ecr #tyagilab
July 16, 2025 at 12:13 AM
Lab represents at Monash Translation Medicine student symposium and 3MT competition.
Well done!
#3mt #threeminutesthesis #phd #ecr #tyagilab
Well done!
#3mt #threeminutesthesis #phd #ecr #tyagilab
#Interpretable vs #explainable #AI
📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖
📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖
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
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
July 11, 2025 at 11:33 PM
#Interpretable vs #explainable #AI
📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖
📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖
Lab lunch @QVM Melb
July 11, 2025 at 5:40 AM
Lab lunch @QVM Melb
Reposted by AI in Digital Health & Bioinformatics Lab
Semantic Encoding in Medical LLMs for Vocabulary Standardisation https://www.medrxiv.org/content/10.1101/2025.06.16.25329716v1
June 18, 2025 at 4:30 AM
Reposted by AI in Digital Health & Bioinformatics Lab
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
April 2, 2025 at 6:53 AM
Interoperability and healthcare data : digitalhealth.org.au/blog/getting...
A timely initiative by @tsonika.bsky.social and team at @rmitcomputing.bsky.social
June 17, 2025 at 3:45 AM
A timely initiative by @tsonika.bsky.social and team at @rmitcomputing.bsky.social
Reposted by AI in Digital Health & Bioinformatics Lab
New publication from the lab @tyagilab.bsky.social academic.oup.com/biomethods/a...
#multimidaldata #biomedicaldata #dataharmonisation #tyagilab
#multimidaldata #biomedicaldata #dataharmonisation #tyagilab
Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal biomedical data
Abstract. The application of machine learning (ML) techniques in predictive modelling has greatly advanced our comprehension of biological systems. There i
academic.oup.com
May 4, 2025 at 7:50 PM
New publication from the lab @tyagilab.bsky.social academic.oup.com/biomethods/a...
#multimidaldata #biomedicaldata #dataharmonisation #tyagilab
#multimidaldata #biomedicaldata #dataharmonisation #tyagilab
Reposted by AI in Digital Health & Bioinformatics Lab
New publication from the lab @tyagilab.bsky.social
Applications of linguistics in genome language modeling
academic.oup.com/biomethods/a...
Applications of linguistics in genome language modeling
academic.oup.com/biomethods/a...
Genome language modeling (GLM): a beginner’s cheat sheet
Abstract. Integrating genomics with diverse data modalities has the potential to revolutionize personalized medicine. However, this integration poses signi
academic.oup.com
May 12, 2025 at 1:06 AM
New publication from the lab @tyagilab.bsky.social
Applications of linguistics in genome language modeling
academic.oup.com/biomethods/a...
Applications of linguistics in genome language modeling
academic.oup.com/biomethods/a...
Good work by @aashishbhandari.com
#digitalhealth #missingdata #machinelearning #predictivemodeling #AIforHealth
#digitalhealth #missingdata #machinelearning #predictivemodeling #AIforHealth
March 18, 2025 at 1:45 AM
Reposted by AI in Digital Health & Bioinformatics Lab
Thank you Australian Mathematical Sciences Institute for organising yet another great #BioinfoSummer event this year. It was good to be back there.
Proud of my PhD for presenting their research and even better to be taking out a prize💰🏆
Proud of my PhD for presenting their research and even better to be taking out a prize💰🏆
December 7, 2024 at 1:36 AM
Thank you Australian Mathematical Sciences Institute for organising yet another great #BioinfoSummer event this year. It was good to be back there.
Proud of my PhD for presenting their research and even better to be taking out a prize💰🏆
Proud of my PhD for presenting their research and even better to be taking out a prize💰🏆
Reposted by AI in Digital Health & Bioinformatics Lab
Our updated preprint on @medrxivpreprint.bsky.social from the #TyagiLab
a beginners guide to planing multimodal machine learning analysis on bio/medical data.
a beginners guide to planing multimodal machine learning analysis on bio/medical data.
Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data https://www.medrxiv.org/content/10.1101/2024.03.21.24304655v1
Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data https://www.medrxiv.org/content/10.1101/2024.03.21.24304655v1
Introduction: The application of machine learning (ML) techniques in classification and prediction t
www.medrxiv.org
January 31, 2025 at 2:29 AM
Our updated preprint on @medrxivpreprint.bsky.social from the #TyagiLab
a beginners guide to planing multimodal machine learning analysis on bio/medical data.
a beginners guide to planing multimodal machine learning analysis on bio/medical data.
Reposted by AI in Digital Health & Bioinformatics Lab
#hotoffthepress #newpublication from the #TyagiLab
"EHR-ML: A Data-Driven Framework for Designing Machine Learning Applications with Electronic Health Records “
Pre-proof is online now: lnkd.in/gHHrFEGF
"EHR-ML: A Data-Driven Framework for Designing Machine Learning Applications with Electronic Health Records “
Pre-proof is online now: lnkd.in/gHHrFEGF
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
January 31, 2025 at 2:27 AM
#hotoffthepress #newpublication from the #TyagiLab
"EHR-ML: A Data-Driven Framework for Designing Machine Learning Applications with Electronic Health Records “
Pre-proof is online now: lnkd.in/gHHrFEGF
"EHR-ML: A Data-Driven Framework for Designing Machine Learning Applications with Electronic Health Records “
Pre-proof is online now: lnkd.in/gHHrFEGF