Milena Pavlovic
Oslo, Norway
Last Updated: 09/26/2026
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Found 17 publications
What Do Generative Models Learn About Adaptive Immune Receptor Repertoires? A Benchmark Study.
Journal: bioRxiv : the preprint server for biology
Published: July 29, 2026
Naïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire.
Journal: Immunogenetics
Published: January 28, 2026
Predictability of antigen binding based on short motifs in the antibody CDRH3.
Journal: Briefings in bioinformatics
Published: May 14, 2024
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning.
Journal: Nucleic acids research
Published: November 04, 2023
Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study.
Journal: Frontiers in public health
Published: August 09, 2023
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review.
Journal: Frontiers in public health
Published: March 15, 2023
simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods.
Journal: GigaScience
Published: February 21, 2023
In silico proof of principle of machine learning-based antibody design at unconstrained scale.
Journal: mAbs
Published: April 04, 2022
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
Journal: Nature machine intelligence
Published: November 01, 2021
Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification.
Journal: GigaScience
Published: July 17, 2021
Last Updated: 09/26/2026