Author

S. Di Carlo

Politecnico di Torino

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Savino· 2 shared Alessandro SavinoiD· 1 shared C. Ferraris· 1 shared G. Amprimo· 1 shared G. Olmo· 1 shared L. Giannantoni· 1 shared L. Martini· 1 shared Lorenzo MartiniiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

A. Savino

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Author profile →

3 papers

Recent·Most cited

Integrative Comparison of GeneHancer and Single-Cell Co-accessibility Reveals Active Enhancer-Gene Interactions

Lorenzo Martini, Roberta Bardini, Alessandro Savino, S. Di Carlo

This paper integrates GeneHancer annotations with single-cell chromatin accessibility data to identify high-confidence enhancer-gene interactions specific to a human PBMC dataset.

International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · Jan 1, 2026Peer-reviewedBioinformatics

Optimization of synthetic oscillatory biological networks through Reinforcement Learning

L. Giannantoni, A. Savino, S. Di Carlo

This study applies reinforcement learning to optimize synthetic biological networks by controlling Hopf bifurcations in ODE-based systems, showing its ability to identify bifurcation onset while facing challenges in persistent oscillations and computational speed.

bioRxiv · Nov 19, 2023Bioengineering

Neuronal Spike Shapes (NSS): A Straightforward Approach to Investigate Heterogeneity in Neuronal Excitability States.

L. Martini, G. Amprimo, S. Di Carlo, G. Olmo, C. Ferraris, A. Savino, R. Bardini

This paper introduces NSS, a method to analyze neuronal excitability states using AP waveforms, and validates it on murine cortical neurons, identifying voltage-gated K+ channels as markers of excitability states.

bioRxiv · Jun 28, 2023Bioengineering