tyagilab (@tyagilab) header
tyagilab (@tyagilab) profile picture

tyagilab

@tyagilab

Bioinformatics Research group headed by @tsonika (account curated by the group members) #machinelearning #AI #DIGITALHEALTH #epigenomics #ncRNA #multiomics

 Australia
bioinformaticslab.erc.monash.edu/
Joined May 2019
  • Tweets323
  • Following148
  • Followers157
46Media
Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)Photo by tyagilab (@tyagilab)
Very happy 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. sciencedirect.com/science/ar…
2
1
63
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.
1
1
50
We hope this work supports more reliable and principled approaches to handling missingness in EHRs, where incomplete data are the norm.
1
54
@tsonika
18
Along with my PhD student Naima Vahab, I am very excited to share our invited review in BMC Artificial Intelligence.
tyagilab (@tyagilab) profile picturetyagilab@tyagilab14 Oct 2025
bsky.app/profile/tyagilab.bs…
1
1
110
Sharing our latest publication led by my previous PhD student Tyrone Chen in Nature Scientific Reports
tyagilab (@tyagilab) profile picturetyagilab@tyagilab14 Oct 2025
bsky.app/profile/tyagilab.bs…
2
2
3
627
bsky.app/profile/tyagilab.bs…
16
bsky.app/profile/tyagilab.bs…
1
122
bsky.app/profile/tyagilab.bs…
1
647
BenchMake: turn any scientific data set into a reproducible benchmark iopscience.iop.org/article/1… by Amanda Barnard @amaxiom pypi.org/project/benchmake/
BenchMake: turn any scientific data set into a reproducible benchmark

BenchMake: turn any scientific data set into a reproducible benchmark

BenchMake: turn any scientific data set into a reproducible benchmark, Barnard, A S

iopscience.iop.org
1
12
536
New publication @tsonika medrxiv.org/content/10.1101/…
Semantic Encoding in Medical LLMs for Vocabulary Standardisation

Semantic Encoding in Medical LLMs for Vocabulary Standardisation

High-quality, standardised medical data availability remains a bot-tleneck for digital health and AI model development. A major hurdle is translating noisy free text into controlled clinical vocabu...

medrxiv.org
1
75
New partnership to improve AI driven maternity for CALD women healthservicesdaily.com.au/a…
AI project focused on improving maternity care for CALD women | Health Services Daily

AI project focused on improving maternity care for CALD women | Health Services Daily

HeraMED, the DHCRC and RMIT are joining forces to help an underserved population.

healthservicesdaily.com.au
1
1
68
@tsonika
1
20
New publication from the lab academic.oup.com/biomethods/…
Genome language modeling (GLM): a beginner’s cheat sheet

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
1
1
59
@TyagiNavya6
10
New publication from the lab @tsonika academic.oup.com/HTTPHandler… #multimidaldata #biomedicaldata #dataharmonisation #tyagilab
Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal...

Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal...

Abstract. The application of machine learning (ML) techniques in predictive modelling has greatly advanced our comprehension of biological systems. There i

academic.oup.com
1
1
67
Mind the Gaps: Guess Less, Predict More with Missing Medical Data - goo.gl/scholar/ByAAuQ #ScholarAlerts
1
77
#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

LinkedIn

This link will take you to a page that’s not on LinkedIn

lnkd.in
16
Conference Participants gave their #FastForwardTalks to showcase their research and communication skills! #BioInfoSummer 2024
Image from BioInfoSummer 2024 (@Bioinfosummer)
Image from BioInfoSummer 2024 (@Bioinfosummer)
Image from BioInfoSummer 2024 (@Bioinfosummer)
1
3
131
Congratulations @TyagiNavya6
Preprints.org (@Preprints_org) profile picturePreprints.org@Preprints_org18 Nov 2024
#Genomics meets digital healthcare: study reveals how genome language modeling (GLM) aids feature extraction for ML applications in genomics. From tokenization to BERT, see how we're bridging the gap between EHRs and genomic info for better patient care.🧬 brnw.ch/21wOJgV
Image from Preprints.org (@Preprints_org)
1
3
172
Load more