tyagilab
@tyagilab
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Bioinformatics Research group headed by @tsonika (account curated by the group members) #machinelearning #AI #DIGITALHEALTH #epigenomics #ncRNA #multiomics
Australia
Joined May 2019
#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:
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RT @Bioinfosummer: Conference Participants gave their #FastForwardTalks to showcase their research and communication skills! #BioInfoSummer…
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Congratulations @TyagiNavya6
#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.🧬
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Great work team 👏🏽
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RT @Bioinfosummer: Day 2⃣: explore #MachineLearning & AI for #Genomics Ritambhara Singh @BrownUniversity Pengyi Yang @SydneyMaths Sonik…
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RT @IEEEVicWIE: Join Us for an Inspiring Hybrid Event: Empowering Women in AI: Navigating Pathways to Success On the 12th July 2024, 6:00…
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Looking to start in the multimodal integration of health and biological data. Look at the guide put together by @MuraliAadhitya and the team @tyagilab @tsonika
Navigating the Multiverse: A Hitchhiker's Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data #medRxiv
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Our latest article on #EHRML is now available on @medrxivpreprint Well done to @ryashpal89 🙌🏽 #electrinichealthrecords #datastandards #reproducibleresearch #fhir #omop #snomed #clinicsloutcomes #tyagilab @tsonika
EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health records #medRxiv
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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” #tyagilab @tsonika
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RT @telstrahealth: Listen to some of the winners from the Telstra Health Brilliant Women in Digital Health Awards 2023, in an interview wit…
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RT @OncologyScience: Upcoming Seminar 12/8! "Integrating Multimodal Data: Paving the Path for Personalized Medicine" Sonika Tyagi, PhD…
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At the 12th Knowledge capture conference #KCAP2023
@tsonika and @_tyronechen ( with help from @TyagiNavya6 ) conducted a conference on genome language modeling. #tyagilab
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RT @FranklinWomen: Our warmest congratulations @tsonika⭐️ It was wonderful seeing you, your work, & your team recognised through the @telst…
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Im very happy to be named as one of 2023 Brilliant Women in Digital Health #BWinDH It was a wonderful night to be amongst very talents digital health practitioners. Read about our award winners in our report: @telstrahealth
@RMITComputing
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EHR-QC is the first pipeline of its kind to convert messy health records data into usable assets. It performs data format and medical concept standardisation along with necessary preprocessing and anomaly detection.
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