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.
Sonika Tyagi
@tsonika.bsky.social
Academic @RMIT University Melbourne Australia #computationalbiology #digitalhealth #MachineLearning #AI #LLM #genomics #data4diversity #aiforsocialgood #equityDiversityInclusion
www.tandfonline.com/doi/full/10....
Increasing Data Literacy in High School Students Through Data Science and Healthcare: Part 1 of 2 Leading to AI Instruction
High school science and biomedical pathway teachers need effective strategies to build student data literacy and prepare them to conduct experiments. This first article of two presents the data col...
tandfonline.com
🔊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
#MultiOmics data #integration using #MachineLearning. A book chapter co-authored with PhD student Samitha Amarapathy.
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...
econpapers.repec.org/article/plop...
EconPapers: Moving beyond the empty cell: The threat of decontextualized healthcare data
By Aya El Mir, Eric Bezerra de Sousa, Ignacio Mesina-Estarrón, Leo Anthony Celi, Moad Hani, Mohammed Benjelloun, Neha Nageswaran, Saïd Mahmoudi, Shaheen Siddiqui, Sreeram Sadasivam and William Greig Mitchell; Abstract: Missing, inaccurate, or poorly documented data in healthcare is often treated as a technical problem to be
econpapers.repec.org
Lead author @aashishbhandari.com
‼️ New Publicaiton alert ‼️ Delighted to share the publication of our article “A comparative evaluation of handling missing data points and modalities in electronic health records” accepted in the International Journal of Medical Informatics. www.sciencedirect.com/science/arti...
‼️ New Publicaiton alert ‼️ Delighted to share the publication of our article “A comparative evaluation of handling missing data points and modalities in electronic health records” accepted in the International Journal of Medical Informatics. www.sciencedirect.com/science/arti...
A comparative evaluation of handling missing data points and modalities in electronic health records
Background: Healthcare data, generally available as electronic health records (EHR), provide rich insight for predictive modelling. A common challenge…
sciencedirect.com
#repost in your network. Postdoctoral Fellowship with @tyagilab.bsky.social and Barcelona Supercomputing Centre.
🔈 *** 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.
Preprint from the lab.
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 invited editorial in BMC Artificial Intelligence along with @naimavahab.bsky.social
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...
New publication from the lab
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...
Nice there’s another ML standards case study in this #IDW2025 “long-tail of supplemental data” session, Slava Tykhonov presenting on Croissant ML docs.google.com/presentation...
croissant-deem-slides
Croissant: A Metadata Format for ML-Ready Datasets June 9, 2024 8th Workshop on Data Management for End-to-End Machine Learning (DEEM) 2024 SIGMOD/PODS 2024 Mubashara Akhtar, Omar Benjelloun, Costanza...
docs.google.com
Our Digital Health and AI applications reading group is on this week. Join in.
📢 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)
The pre-print of our #SIGIRAP2025 paper titled "ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments" is now available arxiv.org/abs/2510.07644 @shuoqisun.bsky.social @danulah.bsky.social @admscentre.org.au @rmitcomputing.bsky.social
ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
The modern information environment (MIE) is increasingly complex, shaped by a wide range of techniques designed to satisfy users' information needs. Information seeking (IS) models are effective mecha...
arxiv.org
@ewanbirney.bsky.social on the new version of Alphafold at the @emblebi.bsky.social www.ebi.ac.uk/about/news/t... AlphaFold has been a transformation not just in structural biology but also - due to its ability to be applied to all proteins - to molecular biology as a whole.
EMBL-EBI and Google DeepMind renew partnership and release update to AlphaFold Database
Deeper collaboration between EMBL-EBI and Google DeepMind brings updates to the AlphaFold Database.
ebi.ac.uk
My colleagues and I here at UVA are looking to hire a skilled #Rstats developer. You'll be working with me on the project. Here's the posting: jobs.virginia.edu/us/en/job/R0...
Epidemiologist / Research Data Scientist; Infectious Diseases and International Health in Charlottesville, Virginia, United States of America | Information Management, Services & Technology at Univers...
Apply for Epidemiologist / Research Data Scientist; Infectious Diseases and International Health job with University of Virginia in Charlottesville, Virginia, United States of America. Information Man...
jobs.virginia.edu
ChatGPT scores up to 97% on medical facts — yet fails to read symptoms. Experts like Ahmed Abdeen Hamed and Dr Andrew Thornton warn: AI can inform, not diagnose. The real challenge now? Using it responsibly in healthcare. #healthcare
AI performs well on facts, but fails when it comes to symptoms | ICT&health Global
An important explanation lies in the nature of the language ChatGPT uses. Even more worrying is that it does not indicate when it does not know something.
icthealth.org
"Your best defense isn’t your eyes — it’s your brain. Keep practicing media and digital literacy..." #discover #MedSky #MentalHealth #AI www.medscape.com/viewarticle/...
Deepfake Doctors: How AI Spreads Medical Disinformation
AI-generated doctors, some fabricated and some mimicking well-known physicians, sell sketchy products and bad medical advice on social media. Here’s how it works.
medscape.com
Discover how AI can help creators beat creative block, visualize ideas, and craft standout portfolios—without replacing human creativity. #DataScience #AI #ArtificialIntelligence opendatascience.com/the-ai-advan...
The AI Advantage: How Creators Can Use AI to Generate Portfolio Concepts
The creative industry is rapidly evolving, and a new co-pilot has entered the studio: artificial intelligence. Creators across fields—graphic designers, photographers, illustrators, writers—often face...
opendatascience.com