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Julie Hussin on Muck Rack

Julie Hussin

Montreal
As seen in: Nature, The Conversation, BioRxiv, Canadian Journal of Cardiology
Computational genomics at the Montreal Heart Institute, University of Montreal. Evolution and biology of humans and other strange creatures. #mhiomics
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Articles

“A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform [Canadian Journal of Cardiology Volume 40, Issue 10, October 2024, Pages 1828-1840]”

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By Pascal Theriault-Lauzier, Denis Corbin, Olivier Tastet, Élodie Labrecque Langlais, Bahareh Taji, Guson Kang, Aun-Yeong Chong, Derek So, An Tang, Judy Wawira Gichoya, Sarath Chandar, Pierre-Luc Déziel, Julie Hussin, Samuel Kadoury, Robert Avram
| Canadian Journal of Cardiology Verified
And “Revolutionising Acute Cardiac Care With Artificial Intelligence: Opportunities and Challenges [Canadian Journal of Cardiology Volume 40, Issue 10, October 2024, Pages 1813-1827]” Gemina Doolub MD, MSc a, Shaan Khurshid MD, MPH b c, Pascal Theriault-Lauzier MD, PhD d, Alexis Nolin Lapalme PhD (candidate) a e f, Olivier Tastet MSc e, Derek So MD g, Elodie Labrecque Langlais MSc h, Denis Corbin MSc e, Robert Avram MD, MSc a e aDepartment of Medicine, Montréal Heart Institute, Université de...
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Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines - Nature Communications

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By Kevin Kovalchik, Peter Kubiniok, Fatima Mostefai, Eric Bonneil, Mathieu Courcelles, Sunil Kumar Saini, Maya Weitzen, Christopher Savoie, Alessandro Sette, Pierre Thibault, Isabelle Sirois, Martin Smith, Hélène Decaluwe, Julie Hussin, Mathieu Lavallée-Adam, Mohammad Shahbazy, Vigneshwar Rajesh
| Nature Verified
Abstract Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vaccines. Here we introduce a comprehensive computational framework incorporating a machine learning algorithm—MHCvalidator—to enhance mass spectrometry-based immunopeptidomics sensitivity.
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Refining SARS-CoV-2 Intra-host Variation by Leveraging Large-Scale Sequencing Data

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By Fatima Mostefai, Jean-Christophe Grenier, Raphaël Poujol, Julie Hussin
| BioRxiv
Abstract Understanding the evolution of viral genomes is essential for elucidating how viruses adapt and change over time. Analyzing intra-host single nucleotide variants (iSNVs) provides key insights into the mechanisms driving the emergence of new viral lineages, which is crucial for predicting and mitigating future viral threats.
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