no code implementations • 9 Mar 2023 • Simone Ciceri, Lorenzo Cassani, Matteo Osella, Pietro Rotondo, Filippo Valle, Marco Gherardi
To achieve near-zero training error in a classification problem, the layers of a feed-forward network have to disentangle the manifolds of data points with different labels, to facilitate the discrimination.
no code implementations • 6 Mar 2023 • Antonio Francesco Zirattu, Marta Biondo, Matteo Osella, Michele Caselle
Feedback loops are essential for regulating cell proliferation and maintaining the delicate balance between cell division and cell death.
no code implementations • 30 Oct 2017 • Chiara Enrico Bena, Marco Del Giudice, Alice Grob, Thomas Gueudré, Mattia Miotto, Dimitra Gialama, Matteo Osella, Emilia Turco, Francesca Ceroni, Andrea De Martino, Carla Bosia
Our results (i) uncover and quantify a previously unnoticed heterogeneity in the growth dynamics of cancer cell populations; (ii) unveil how population growth may be affected by single-cell adaptation times; (iii) contribute to our understanding of the clinically-observed dependence of the primary and metastatic tumor take rates on the initial density of implanted cancer cells.
