Exploring the Role of Transcriptomics, Proteomics, and Machine Learning in HPV Infection and Cardiovascular Disease
By further understanding the mechanisms underlying HPV-induced cardiovascular pathogenesis, machine learning models can be developed in a more targeted manner, stratifying patients that will have an optimal response to emerging probiotic-based therapies.
Authors
- Tim Dong (ORCID: https://orcid.org/0000-0003-1953-0063)
- Ludovico Lazzari (ORCID: https://orcid.org/0000-0002-9382-840X)
- Melanie Hezzell (ORCID: https://orcid.org/0000-0003-1890-6161)
- Sarah Wang (ORCID: https://orcid.org/0000-0003-2564-1798)
- Gianni D. Angelini (ORCID: https://orcid.org/0000-0002-1753-3730)
- Ilaria Casati
Institutions
- North Bristol NHS Trust (GB)
- University of Bristol (GB)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Biomedicines
- Published
- 2025-11-29
- DOI
- https://doi.org/10.3390/biomedicines13122942
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00