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Davide Salzano
Davide Salzano
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Title
Cited by
Cited by
Year
A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic
F Della Rossa, D Salzano, A Di Meglio, F De Lellis, M Coraggio, ...
Nature communications 11 (1), 5106, 2020
1872020
In Vivo Feedback Control of an Antithetic Molecular-Titration Motif in Escherichia coli Using Microfluidics
B Shannon, CG Zamora-Chimal, L Postiglione, D Salzano, CS Grierson, ...
ACS Synthetic Biology 9 (10), 2617-2624, 2020
352020
Balancing Cell Populations Endowed with a Synthetic Toggle Switch via Adaptive Pulsatile Feedback Control
A Guarino, D Fiore, D Salzano, M di Bernardo
ACS synthetic biology 9 (4), 793-803, 2020
252020
Multicellular feedback control of a genetic toggle-switch in microbial consortia
D Fiore, D Salzano, E Cristòbal-Cóppulo, JM Olm, M di Bernardo
IEEE Control Systems Letters 5 (1), 151-156, 2020
202020
Control engineering meets synthetic biology: Foundations and applications
I Ruolo, S Napolitano, D Salzano, M di Bernardo, D di Bernardo
Current Opinion in Systems Biology 28, 100397, 2021
172021
Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches
D Salzano, D Fiore, M di Bernardo
2019 IEEE 58th Conference on Decision and Control (CDC), 927-932, 2019
152019
Control-based continuation: a new approach to prototype synthetic gene networks
I de Cesare, D Salzano, M di Bernardo, L Renson, L Marucci
ACS synthetic biology 11 (7), 2300-2313, 2022
122022
Ratiometric control of cell phenotypes in monostrain microbial consortia
D Salzano, D Fiore, M di Bernardo
Journal of the Royal Society Interface 19 (192), 20220335, 2022
112022
Multicellular PI control for gene regulation in microbial consortia
V Martinelli, D Salzano, D Fiore, M di Bernardo
IEEE Control Systems Letters 6, 3373-3378, 2022
102022
Ratiometric control of cell phenotypes in monostrain microbial consortia
D Salzano, D Fiore, M di Bernardo
Journal of the Royal Society Interface 19 (192), 20220335, 2021
7*2021
Multicellular PD control in microbial consortia
V Martinelli, D Salzano, D Fiore, M di Bernardo
IEEE Control Systems Letters, 2023
42023
Embedded control of cell growth using tunable genetic systems
V Fusco, D Salzano, D Fiore, M di Bernardo
International Journal of Robust and Nonlinear Control 33 (9), 4893-4907, 2023
42023
A periodic open-loop strategy to mitigate plant-soil negative feedback
N Karagiannis-Axypolitidis, D Salzano, D Fiore, F Cartenì, S Mazzoleni, ...
2023 European Control Conference (ECC), 1-6, 2023
12023
External control of a genetic toggle switch via Reinforcement Learning
SM Brancato, F De Lellis, D Salzano, G Russo, M Di Bernardo
2023 European Control Conference (ECC), 1-6, 2023
12023
Ratiometric control of two microbial populations in a dual chamber bioreactor
SM Brancato, D Salzano, D Fiore, G Russo, M di Bernardo
bioRxiv, 2024.03. 08.584056, 2024
2024
In vivo learning-based control of microbial populations density in bioreactors
SM Brancato, D Salzano, F De Lellis, D Fiore, G Russo, M di Bernardo
arXiv preprint arXiv:2312.09773, 2023
2023
In-vivo distributed multicellular control of gene expression in microbial consortia
D Salzano, B Shannon, C Grierson, L Marucci, NJ Savery, M di Bernardo
bioRxiv, 2023.11. 13.566807, 2023
2023
In-vivo multicellular control of gene expression in microbial consortia
D Salzano, B Shannon, C Grierson, L Marucci, N Savery, M di Bernardo
2023
Development and validation of synthetically engineered microbial consortia
D Salzano, M di Bernardo
University of Bristol, 2023
2023
Controlling gene expression in microbial populations using a multicellular architecture
D Salzano, CJ Grierson, L Marucci, NJ Savery, M di Bernardo
IFAC-PapersOnLine 55 (23), 167-168, 2022
2022
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