One of the most important figures in the history of neurohistology, Giuseppe Levi (1872-1965) contributed in numerous ways to neuroscience, particularly in the fields of neuronal plasticity and the understanding of sensory ganglia. His daughter Natalia Ginzburg, Levi (1916-1991), on the other hand, achieved fame as one of the most celebrated Italian writers of the twentieth century. (), from 1963, is a semibiographical account of her life in which she describes the life and character of her father in detail, providing depth and complexity to a seminal figures in the development of neuroscience. A thorough reading of the book enables modern neurologists to fully appreciate Levi's life and contributions, by means of humanizing him and giving context to his life and works. The present article provides a summary of Levi's and Natalia's lives and times as well as an analysis of the book and of the intimate, vivid descriptions of the neurohistologist's life.
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http://dx.doi.org/10.1055/s-0044-1786765 | DOI Listing |
Recenti Prog Med
February 2024
Dipartimento di Fisica e astronomia, Università di Bologna.
Introduction: The text examines the impact of artificial intelligence (AI) in the context of rare diseases, exploring how patients turn to AI resources for health information, especially in situations where doctor-patient communication is limited. The article features the case of a doctor specializing in clinical psychology and psychotherapy, diagnosed with thymoma and Good's syndrome, who uses AI resources during his illness.
Methods: The capabilities of five chatbots based on Large Language Models (LLMs), such as GPT-3.
Sci Rep
December 2022
Department of Physics and Astronomy, University of Bologna, Bologna, Italy.
One of the main objectives of high-throughput genomics studies is to obtain a low-dimensional set of observables-a signature-for sample classification purposes (diagnosis, prognosis, stratification). Biological data, such as gene or protein expression, are commonly characterized by an up/down regulation behavior, for which discriminant-based methods could perform with high accuracy and easy interpretability. To obtain the most out of these methods features selection is even more critical, but it is known to be a NP-hard problem, and thus most feature selection approaches focuses on one feature at the time (k-best, Sequential Feature Selection, recursive feature elimination).
View Article and Find Full Text PDFOncotarget
March 2016
"Seràgnoli" Institute of Hematology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Bologna University School of Medicine, Bologna, Italy.
The prime focus of the current therapeutic strategy for Multiple Myeloma (MM) is to obtain an early and deep tumour burden reduction, up to the level of complete response (CR). To date, no description of the characteristics of the plasma cells (PC) prone to achieve CR has been reported. This study aimed at the molecular characterization of PC obtained at baseline from MM patients in CR after bortezomib-thalidomide-dexamethasone (VTD) first line therapy.
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