A/Prof Sonika Tyagi Thank you for the wonderful presentation!

Listen to some of the winners from the Telstra Health Brilliant Women in Digital Health Awards 2023, in an interview with Peter Birch of the Talking HealthTech. The awards celebrated the contributions of women across Australia in the health and aged care sectors ow.ly/t8V550QiyNF

Great to the masters project by Naima Vahab and Tarun Bonu out in the publication. “Uncovering Co-regulatory Modules and Gene Regulatory Networks in the Heart through Machine Learning-based Analysis of Large-scale Epigenomic Data” authors.elsevier.com/a/1ibEn2OYd7fJr #tyagilab A/Prof Sonika Tyagi

Our latest article on #EHRML is now available on medRxiv Well done to yashpal 🙌🏽 #electrinichealthrecords #datastandards #reproducibleresearch #fhir #omop #snomed #clinicsloutcomes #tyagilab A/Prof Sonika Tyagi

Looking to start in the multimodal integration of health and biological data. Look at the guide put together by Murali Aadhitya M S and the team tyagilab A/Prof Sonika Tyagi

Join Us for an Inspiring Hybrid Event: Empowering Women in AI: Navigating Pathways to Success On the 12th July 2024, 6:00 – 7:30pm at CQUniversity Australia For registration: lnkd.in/gy8Ea76R

Day 2⃣: explore #MachineLearning & AI for #Genomics Ritambhara Singh Brown University Pengyi Yang Sydney Mathematics and Statistics Sonika Tyagi RMIT University Robert Turnbull Melbourne Data Analytics Platform (MDAP) Jiadong Mao, Sandeep Santhosh Kumar, Xiaochen Zhang MIG🦋@mig-unimelb.bsky.social Ben Goudey The Florey bis.amsi.org.au/register

Great work team 👏🏽

Join experts from Japan and Australia as they explore how AI is transforming healthcare, enhancing diagnostics, personalising treatments, and improving patient care. Gain valuable insights into shaping the future of medicine. Don't miss this opportunity to learn from leaders in

Congratulations Navya Tyagi

Conference Participants gave their #FastForwardTalks to showcase their research and communication skills! #BioInfoSummer 2024

#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

Mind the Gaps: Guess Less, Predict More with Missing Medical Data - goo.gl/scholar/ByAAuQ #ScholarAlerts

New publication from the lab A/Prof Sonika Tyagi academic.oup.com/HTTPHandlers/S… #multimidaldata #biomedicaldata #dataharmonisation #tyagilab

New publication A/Prof Sonika Tyagi medrxiv.org/content/10.110…

BenchMake: turn any scientific data set into a reproducible benchmark iopscience.iop.org/article/10.108… by Amanda Barnard Prof Amanda Barnard AM pypi.org/project/benchm…