Zobrazeno 1 - 10
of 1 606
pro vyhledávání: '"P. Visani"'
Predicting protein functional characteristics from structure remains a central problem in protein science, with broad implications from understanding the mechanisms of disease to designing novel therapeutics. Unfortunately, current machine learning m
Externí odkaz:
http://arxiv.org/abs/2409.18201
The explainability of machine learning algorithms is crucial, and numerous methods have emerged recently. Local, post-hoc methods assign an attribution score to each feature, indicating its importance for the prediction. However, these methods requir
Externí odkaz:
http://arxiv.org/abs/2408.05060
Autor:
Visani, Gian Marco, Pun, Michael N., Galvin, William, Daniel, Eric, Borisiak, Kevin, Wagura, Utheri, Nourmohammad, Armita
Predicting the stability and fitness effects of amino acid mutations in proteins is a cornerstone of biological discovery and engineering. Various experimental techniques have been developed to measure mutational effects, providing us with extensive
Externí odkaz:
http://arxiv.org/abs/2407.06703
Accurately modeling protein 3D structure is essential for the design of functional proteins. An important sub-task of structure modeling is protein side-chain packing: predicting the conformation of side-chains (rotamers) given the protein's backbone
Externí odkaz:
http://arxiv.org/abs/2311.09312
Publikováno v:
Exploration of Targeted Anti-tumor Therapy, Vol 5, Iss 5, Pp 1027-1055 (2024)
The bone marrow microenvironment (BMM) has highly specialized anatomical characteristics that provide a sanctuary place for hematopoietic stem cells (HSCs) that allow appropriate proliferation, maintenance, and self-renewal capacity. Several cell typ
Externí odkaz:
https://doaj.org/article/2f76eee370ce41b982c7bc0671e23a90
Autor:
Lihachev, Grigory, Bancora, Andrea, Snigirev, Viacheslav, Tian, Hao, Riemensberger, Johann, Shadymov, Vladimir, Siddharth, Anat, Attanasio, Alena, Wang, Rui Ning, Visani, Diego, Voloshin, Andrey, Bhave, Sunil, Kippenberg, Tobias J.
Recent advances in the development of ultra-low loss silicon nitride integrated photonic circuits have heralded a new generation of integrated lasers capable of reaching fiber laser coherence. However, these devices presently are based on self-inject
Externí odkaz:
http://arxiv.org/abs/2303.00425
Autor:
Federico Mosna, Erika Borlenghi, Mark Litzow, John C. Byrd, Cristina Papayannidis, Cristina Tecchio, Felicetto Ferrara, Guido Marcucci, Roberto Cairoli, Elizabeth A. Morgan, Carmela Gurrieri, Cecilia C.S. Yeung, H. Joachim Deeg, Debora Capelli, Anna Candoni, Jason R. Gotlib, Monia Lunghi, Sheeja Pullarkat, Francesco Lanza, Sara Galimberti, Fabio Forghieri, Adriano Venditti, Moreno Festuccia, Ernesta Audisio, Denise Marvalle, Gian Matteo Rigolin, Giovanni Roti, Eros DiBona, Giuseppe Visani, Francesco Albano, Ann-Kathrin Eisfeld, Peter Valent, Gerwin Huls, Gautam Borthakur, Mauro Krampera, Giovanni Martinelli, Nicolaus Kröger, Alessandra Sperotto, Michele Gottardi
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Acute Myeloid Leukemia is mainly a disease of the elderly: however, the knowledge on the outcomes of treatment in core binding factor AML (CBFAML) in older population, is limited. We retrospectively collected data on 229 patients with CBF- AML follow
Externí odkaz:
https://doaj.org/article/f2c7a10b80a14607b116ee33cafabed3
Group-equivariant neural networks have emerged as a data-efficient approach to solve classification and regression tasks, while respecting the relevant symmetries of the data. However, little work has been done to extend this paradigm to the unsuperv
Externí odkaz:
http://arxiv.org/abs/2209.15567
Autor:
Visani, Giorgio, Graffi, Giacomo, Alfero, Mattia, Bagli, Enrico, Capuzzo, Davide, Chesani, Federico
The switch from a Model-Centric to a Data-Centric mindset is putting emphasis on data and its quality rather than algorithms, bringing forward new challenges. In particular, the sensitive nature of the information in highly regulated scenarios needs
Externí odkaz:
http://arxiv.org/abs/2204.06297
Autor:
Valentina Visani, Francesca B. Pizzini, Valerio Natale, Agnese Tamanti, Mariagiulia Anglani, Alessandra Bertoldo, Massimiliano Calabrese, Marco Castellaro
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on
Externí odkaz:
https://doaj.org/article/c39a1c7d92ec4d9da12de6897b6ac946