#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

Good work by @aashishbhandari.com

#digitalhealth #missingdata #machinelearning #predictivemodeling #AIforHealth

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

New publication from the lab @tyagilab.bsky.social

Applications of linguistics in genome language modeling

academic.oup.com/biomethods/a...

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

New publication from the lab @tyagilab.bsky.social academic.oup.com/biomethods/a...

#multimidaldata #biomedicaldata #dataharmonisation #tyagilab

New preprint from the lab

@tyagilab.bsky.social

#Interpretable vs #explainable #AI

📖 An informative post by lab members @esha4.bsky.social and @tnavya.bsky.social 📖

#foundationsofAI #AI #teaching

Congratulations to @yashpalr.bsky.social on his graduation!
@tyagilab.bsky.social

🩺 Missing medical data isn't just something to fill in or ignore!
EHRs often have missing values. Common fix? Imputation. But filling gaps can mislead predictions.
We explore ML approaches to handle missingness while preserving the original data distribution.
📜 www.researchsquare.com/article/rs-6...

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