Sara Cammarota

Dottorandi

sara.cammarota@hotmail.it

+39 06 72596008

Biografia

Sara è una studentessa del Programma Nazionale di Dottorato in Intelligenza Artificiale presso la Sezione di Fisica Medica di Tor Vergata.

Ha conseguito la laurea triennale in Fisica presso l’Università La Sapienza di Roma, dove ha sviluppato una tesi sull’uso dei fotomoltiplicatori al silicio nella tomografia a emissione di positroni. Successivamente ha conseguito un master in Data Science, concentrandosi su Topological Deep Learning e Semantic Communications.

I suoi interessi di ricerca si concentrano in particolare sulle reti neurali a grafo e sull’apprendimento profondo topologico, in particolare su come le architetture neurali informate dalla topologia possano elaborare dati biologici complessi e strutturati e fornire informazioni utili.

Last 5 articles (Scopus)

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Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion; Information Fusion; February 2026; DOI: 10.1016/j.inffus.2025.103650
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Evidence for compositionality in fMRI visual representations via Brain Algebra; Communications Biology; December 2025; DOI: 10.1038/s42003-025-08706-4
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Activation of endogenous retroviruses characterizes the maternal-fetal interface in the BTBR mouse model of autism spectrum disorder; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-91541-8
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Mindfulness-based stress reduction intervention during pregnancy changes maternal brain; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-07787-9
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Expression of HERV-K and embryonic genes in chronic lymphocytic leukemia and their association with therapy regimens; Blood Advances; 26 August 2025; DOI: 10.1182/bloodadvances.2024014181
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Last 5 articles (PubMed)