Search for the project tile here and instructions to apply:
lnkd.in/gumywewH

Please hashtag#Repost hashtag#spreadTheWord in your networks. @tyagilab.bsky.social

A good coincidence to be releasing these projects on the IWD weekend!

Project 1: AI-driven analysis of female health parameters to predict adverse outcomes

Project 2: AI for Advancing Women Ultrasound Diagnostics

🔊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

Kudos to Sam and @aashishbhandari.com !

#MultiOmics data #integration using #MachineLearning.

A book chapter co-authored with PhD student Samitha Amarapathy.

econpapers.repec.org/article/plop...

Deadline extended to 3 Feb 2026

#Spreadtheword

Lead author @aashishbhandari.com

We hope this work supports more reliable and principled approaches to handling missingness in EHRs, where incomplete data are the norm.

This study systematically compares seven methodological paradigms for managing missingness (within or across modalities) in EHR data, highlighting how different algorithmic assumptions influence performance under different missingness distributions.

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…

‼️ 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...

"Successful models are linked to actions" what is beyond the performance metrics?

www.nature.com/articles/s41...

#repost in your network.

Postdoctoral Fellowship with @tyagilab.bsky.social and Barcelona Supercomputing Centre.

Thank you 🙏🏼

Conference diary Dec 2025

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.

direct link link.springer.com/epdf/10.1186...

Preprint from the lab.

@aashishbhandari.com

Our invited editorial in BMC Artificial Intelligence along with @naimavahab.bsky.social

New publication from the lab

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...

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...

Our Digital Health and AI applications reading group is on this week. Join in.

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...

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

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.

@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.

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...

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...

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.

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