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Machine learning and biomedical informatics at UniversitĂ di Milano-Bicocca & University of Toronto
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2025-10-03: My preprint titled "Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls", mainly written by Fabio Cumbo, was released on preprints.org
2025-09-26: My article titled "Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering" was published in the BioData Mining journal.
2025-09-25: My preprints titled "Predicting the toxicity of chemical compounds via hyperdimensional computing" and "A novel vector-symbolic architecture for graph encoding and its application to viral pangenome-based species classification", mainly written by Fabio Cumbo, were released on bioRxiv.
2025-09-21: The R software library glioblastomaEHRsData, that I contributed to design, was published on CRAN.
2025-09-16: I attend the ECML PKDD 2025 conference and its Workshop on Responsible Healthcare using Machine Learning (RHCML 2025) in Oporto (Portugal, EU), where I present a scientific poster titled "DBSCAN clustering applied to electronic health records’ data from patients with glioblastoma".
2025-09-10: I attend the CIBB 2025 conference in Milan (Italy, EU), where I present the article titled "Genome wide survival analysis identifies a prognostic gene ratio for sepsis from transcriptomics data" and I organize the Machine Learning for Structured Data in Clinical Informatics and Medical Biology special session.
davidechicco(AT)davidechicco.it
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