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Your search keyword '"Frattolillo F"' showing total 4 results
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4 results on '"Frattolillo F"'

1. Trust in AI: Transparency, and Uncertainty Reduction. Development of a new theoretical framework

Author

Brandizzi, N, Centeio Jorge C, Cipollone, R, Frattolillo, F, Iocchi, L, Ulfert-Blank, A-S, Aquilino, Letizia, Bisconti, Piercosma, Marchetti, Antonella, Letizia Aquilino (ORCID:0009-0001-4862-5910), Antonella Marchetti (ORCID:0000-0001-9985-0539), Brandizzi, N, Centeio Jorge C, Cipollone, R, Frattolillo, F, Iocchi, L, Ulfert-Blank, A-S, Aquilino, Letizia, Bisconti, Piercosma, Marchetti, Antonella, Letizia Aquilino (ORCID:0009-0001-4862-5910), and Antonella Marchetti (ORCID:0000-0001-9985-0539)

Abstract

Trust plays a pivotal role in the acceptance of AI (Artificial Intelligence), particularly when it involves people’s health and safety. AI systems have proven to hold great potential when applied to the medical field. However, users still find it challenging to trust AI over a human doctor for decisions regarding their health. This paper establishes a new theoretical framework, drawing upon the integration of the Uncertainty Reduction Theory (URT) and the theorization on agency locus. This framework aims to examine the influence of transparency, agency locus, and human oversight, mediated by uncertainty reduction, on trust development. Transparency has already been revealed as a key element in fostering trust, as AI systems showing some kind of transparency, providing insights into their inner workings, are generally perceived as more trustworthy. One explanation for this can pertain to the system becoming more understandable and predictable to the user, which reduces the uncertainty of the interaction. The framework also focuses on the differences entailed by the application in different fields, namely healthcare and first response intervention. Moreover, the paper foresees multiple experiments that will validate this model, shedding light on the complex dynamics of trust in AI.

Published
2024

2. Inguinal Hernia: Crossfire Between the Meshes

Author

Teoh, A., Chan, K., Chiu, P., Leong, H., Ng, E., Protasov, A. V., Titarov, D. L., Shemyatovsky, K. A., Origi, M., Moroni, M. R., Veronesi, P., Militello, P., Branchini, L., Frattolillo, F., Varale, R., Pappalardo, V., Zuliani, W., Burgmans, I., Voorbrood, C., Schouten, N., Clevers, G. J., Davids, P. H. P., Verleisdonk, E. J. M. M., Simmermacher, R. K. J., Miyazaki, K., Porrero-Carro, J. L., García-Pastor, P., Hidalgo-Pascual, M., Gutierrez-Romero, R., Picazo-Yeste, J., Jenkin, A., Perera, M., Presley, R., Amato, G., Romano, G., Agrusa, A., Di Buono, G., Cocorullo, G., Gulotta, G., Fang, Z. X., Ren, F., Zhou, J. P., Liu, D. C., Tian, J., Ungpinitpong, W., Morfesis, F., Rose, B., Kishimoto, T., Okada, Y., Hayashi, E., Nagata, J., Ohira, S., Horio, K., Ishida, Y., Takahashi, R., Kanie, Y., Terao, N., Noritake, O., Narui, R., Kubota, H., Lorenz, R., Koch, A., Born, H., Wiese, M., Cejnar, S., Kalhan, S., Bhardwaj, A., Bhatia, P., Khetan, M., John, S., and Bindal, V.

Published
2015
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3. Topic: Mesh and Prosthesis

Author

Zabel, D., Kalish, E., Conway, M., Belgrade, J., Köhler, B. Pérez, Moreno, F. García, Sotomayor, S., Rodríguez, M., Pascual, G., Bellón, J. M., Pappalardo, V., Origi, M., Veronesi, P., Moroni, M., Militello, P., Frattolillo, F., Varale, R., Zuliani, W., Munipalle, P., Khan, S., Etherson, K., Viswanath, P., Latham, L., Livraghi, L., Menegat, N., Berselli, M., Agrusti, S., Cotronea, C., Farassino, L., Galvanin, J., Borghi, F., Ambrosoli, A., Crespi, A., Cocozza, E., María, F. José, Alós, A. Rafael, Bellver, B. Gemma, Castaño, C. Sergio, Hernández, M., Glover, M., Glass, J., Franklin, M., Gossetti, F., Ceci, F., Manzi, E., Mattia, S., D’Amore, L., Negro, P., Hernandez, M., Ferzoco, S., de Bruin, B. J. Q., Bettinger, C. J., Bonjer, H. J., Bruggeman, J. P., Muzio, G., Paiuzzi, E., Festa, V., Festa, F., Chiaravalloti, A., Buemi, C., Canuto, R. A., Cossa, J. P., Bizet, G., Ji, Z., Gu, Y., Liu, Z. N., Yang, Z., Zhou, Z. Y., Song, Z. C., Wang, H. C., Yang, J. J., and Tang, R.

Published
2015
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4. Polypharmacy through Phage Display: Selection of Glucagon and GLP-1 Receptor Co-agonists from a Phage-Displayed Peptide Library.

Author

Demartis A, Lahm A, Tomei L, Beghetto E, Di Biasio V, Orvieto F, Frattolillo F, Carrington PE, Mumick S, Hawes B, Bianchi E, Palani A, and Pessi A

Subjects
Diabetes Mellitus drug therapy, Dipeptidyl Peptidase 4 metabolism, Humans, Obesity drug therapy, Peptide Library, Peptides genetics, Polypharmacy, Sequence Analysis, DNA, Peptides chemical synthesis, Peptides pharmacology, Receptors, Glucagon agonists, Glucagon-Like Peptide-1 Receptor Agonists
Abstract

A promising emerging area for the treatment of obesity and diabetes is combinatorial hormone therapy, where single-molecule peptides are rationally designed to integrate the complementary actions of multiple endogenous metabolically-related hormones. We describe here a proof-of-concept study on developing unimolecular polypharmacy agents through the use of selection methods based on phage-displayed peptide libraries (PDL). Co-agonists of the glucagon (GCG) and GLP-1 receptors were identified from a PDL sequentially selected on GCGR- and GLP1R-overexpressing cells. After two or three rounds of selection, 7.5% of randomly picked clones were GLP1R/GCGR co-agonists, and a further 1.53% were agonists of a single receptor. The phages were sequenced and 35 corresponding peptides were synthesized. 18 peptides were potent co-agonists, 8 of whom showed EC 50  ≤ 30 pM on each receptor, comparable to the best rationally designed co-agonists reported in the literature. Based on literature examples, two sequences were engineered to stabilize against dipeptidyl peptidase IV cleavage and prolong the in vivo half-life: the engineered peptides were comparably potent to the parent peptides on both receptors, highlighting the potential use of phage-derived peptides as therapeutic agents. The strategy described here appears of general value for the discovery of optimized polypharmacology paradigms across several metabolically-related hormones.

Published
2018
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