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• FROM CLOUD TO BEDSIDE C. Tacchetti^1,2 | ¹Medical School & S.RACE (San-Raffaele Artificial Intelligence Center);Vita-Salute University San Raffaele, Milan, Italy; ²Experimental Imaging Center, IRCCS Hospital San Raffaele, Milan, Italy

  21-08-2025

  https://doi.org/10.4081/ejh.2025.4294

  128

• Giving bodies to ghosts: locating molecules in the very place where they exert their biological roles

  Ernesto Capanna, CarloAlberto Redi

  29-01-2024

  https://doi.org/10.4081/ejh.2024.3950

  1257

  PDF: 463

  HTML: 3

• FROM PIXELS TO DIAGNOSIS: A DEEP LEARNING FRAMEWORK FOR HISTOPATHOLOGICAL IMAGE ANALYSIS IN CANINE TESTICULAR PATHOLOGY L. Riccio¹, E. Formisano², M. De Falco³, S. Balsamo³, P. Formisano⁴, E. Di Napoli¹, G. Piegari¹, O. Paciello¹, L. Rosati³ | ¹Department of Veterinary Medicine and Animal Production, University of Naples “Federico II”, Naples, Italy; ²Department of Cognitive Neuroscience, Faculty of Psychology, Universiteit Maastricht, Postbus 616, The Netherlands; ³Department of Biology, University of Naples Federico II, Naples, Italy; ⁴Department of Translational Medicine, University Federico II, Naples, Italy

  21-08-2025

  https://doi.org/10.4081/ejh.2025.4297

  121

• PATHOMICS – A NOVEL OMICS APPROACH FOR HISTOPATHOLOGY P. Boor^1,2 | ¹Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany; Electron Microscopy Facility, RWTH Aachen University Hospital, Aachen, Germany; ²Division of Nephrology and Immunology, RWTH Aachen University Hospital, Aachen, Germany

  21-08-2025

  https://doi.org/10.4081/ejh.2025.4284

  131

• USE OF HIGH-DEFINITION IMAGING FLOW CYTOMETRY AND A.I. TO ENUMERATE AND CHARACTERISE CIRCULATING TUMOUR CELLS S. Saravi¹, S. Panfilov², E. Karteris² | ¹College of Health, Medicine and Life Sciences, Brunel University of London, UK; ²College of Health, Medicine and Life Sciences, Brunel University of London, UK

  21-08-2025

  https://doi.org/10.4081/ejh.2025.4295

  130
• 

  MIAQuant, a novel system for automatic segmentation, measurement, and localization comparison of different biomarkers from serialized histological slices

  Elena Casiraghi, Mara Cossa, Veronica Huber, Licia Rivoltini, Matteo Tozzi, Antonello Villa, Barbara Vergani

  02-11-2017

  https://doi.org/10.4081/ejh.2017.2838

  2280

  PDF: 1107

  MIAQuant user Manual: 236

  MIAQuant source code: 275

  HTML: 63

• SUMOYLATION AS AN EARLY ADAPTIVE MECHANISM IN THE PROTEOMIC RESPONSE OF HUMAN GERM CELLS TO SIMULATED MICROGRAVITY A. Di Pauli¹, G. Ricci², M. Crescenzi³, M. A. Mariggiò⁴, C. Morabito⁴, L. Gesualdi¹, M. Berardini¹, F. Ferranti⁵, M. Signore⁶, A. Catizone¹ | ¹Department of Anatomy, Histology, Forensic-Medicine and Orthopedics, Section of Histology and Embryology, «Sapienza» University, Rome, Italy; ²Department of Experimental Medicine, University «Luigi Vanvitelli», Naples, Italy; ³Core Facilities, Italian National Institute of Health, Rome, Italy; ⁴Department of Neuroscience, Imaging and Clinical Sciences CAST, «G. d’Annunzio» University, Chieti, Italy; ⁵Human Spaceflight and Scientific Research Unit, Italian Space Agency, Rome, Italy; ⁶RPPA unit, Proteomics, Italian National Institute of Health, Rome, Italy

  21-08-2025

  https://doi.org/10.4081/ejh.2025.4296

  137