Zobrazeno 1 - 10
of 269
pro vyhledávání: '"LORENZO, GUILLERMO"'
Autor:
Sixto, Xoel, Navarrete, Álvaro, Pereira, Margarida, Currás-Lorenzo, Guillermo, Tamaki, Kiyoshi, Curty, Marcos
Most security proofs of quantum key distribution (QKD) assume that there is no unwanted information leakage about the state preparation process. However, this assumption is impossible to guarantee in practice, as QKD systems can leak information to t
Externí odkaz:
http://arxiv.org/abs/2411.13948
The development of mathematical models of cancer informed by time-resolved measurements has enabled personalised predictions of tumour growth and treatment response. However, frequent cancer monitoring is rare, and many tumours are treated soon after
Externí odkaz:
http://arxiv.org/abs/2409.12844
The availability of cancer measurements over time enables the personalised assessment of tumour growth and therapeutic response dynamics. However, many tumours are treated after diagnosis without collecting longitudinal data, and cancer monitoring pr
Externí odkaz:
http://arxiv.org/abs/2404.12198
Autor:
Pereira, Margarida, Currás-Lorenzo, Guillermo, Mizutani, Akihiro, Rusca, Davide, Curty, Marcos, Tamaki, Kiyoshi
Publikováno v:
Quantum Sci. Technol. 10 015001 (2024)
A prevalent issue in practical applications of quantum key distribution (QKD) is the emergence of correlations among the emitted signals. Although recent works have proved the security of QKD in the presence of this imperfection, they rest on the pre
Externí odkaz:
http://arxiv.org/abs/2402.08028
Autor:
Lorenzo, Guillermo, Heiselman, Jon S., Liss, Michael A., Miga, Michael I., Gomez, Hector, Yankeelov, Thomas E., Reali, Alessandro, Hughes, Thomas J. R.
Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor closely monitored via longitudinal multiparametric
Externí odkaz:
http://arxiv.org/abs/2310.00060
Autor:
Lorenzo, Guillermo, Ahmed, Syed Rakin, Hormuth II, David A., Vaughn, Brenna, Kalpathy-Cramer, Jayashree, Solorio, Luis, Yankeelov, Thomas E., Gomez, Hector
Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the de
Externí odkaz:
http://arxiv.org/abs/2308.14925
Autor:
Chaudhuri, Anirban, Pash, Graham, Hormuth II, David A., Lorenzo, Guillermo, Kapteyn, Michael, Wu, Chengyue, Lima, Ernesto A. B. F., Yankeelov, Thomas E., Willcox, Karen
Publikováno v:
Frontiers in Artificial Intelligence, 6, 2023
We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties in the und
Externí odkaz:
http://arxiv.org/abs/2308.12429
Quantum key distribution (QKD) can theoretically achieve the Holy Grail of cryptography, information-theoretic security against eavesdropping. However, in practice, discrepancies between the mathematical models assumed in security proofs and the actu
Externí odkaz:
http://arxiv.org/abs/2305.05930
Publikováno v:
EPJ Quantum Technol. 10, 53 (2023)
Decoy-state quantum key distribution (QKD) is undoubtedly the most efficient solution to handle multi-photon signals emitted by laser sources, and provides the same secret key rate scaling as ideal single-photon sources. It requires, however, that th
Externí odkaz:
http://arxiv.org/abs/2304.03562