MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE: WHICH APPLICATION IN INFECTIOUS DISEASES - Webinar Live December 2nd-3rd, 2021 - h 15.00-19.00

Pagina creata da Mario Spinelli
 
CONTINUA A LEGGERE
MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE:
  WHICH APPLICATION IN INFECTIOUS DISEASES

                                   Webinar Live
                     December 2 -3 , 2021 - h 15.00-19.00
                                    nd   rd

                               Scientific Coordinators:
                      A. Cingolani, G. Guaraldi, F. Mandreoli, R. Murri
SCIENTIFIC COORDINATORS
Antonella Cingolani - Policlinico Universitario “Agostino Gemelli”, Università Cattolica del Sacro Cuore, Roma
Giovanni Guaraldi - Azienda Ospedaliero-Universitaria Policlinico di Modena, Università degli Studi di Modena e Reggio Emilia, Modena
Federica Mandreoli - Università degli Studi di Modena e Reggio Emilia, Modena
Rita Murri - Policlinico Universitario “Agostino Gemelli”, Università Cattolica del Sacro Cuore, Roma

FACULTY
Andrea Antinori - INMI “Lazzaro Spallanzani” IRCCS, Roma                 Chiara Giovenzana - Fondaziona Eneatech, Roma
Massimo Antonelli - Policlinico Universitario “Agostino Gemelli”, Roma   Matteo Lai - Empatica, Cambridge (USA)
Michele Bartolo - Sant’Egidio, Associazione Scientifica per la Sanità    Simone Lanini - INMI “Lazzaro Spallanzani” IRCCS, Roma
Digitale, Global Health Telemedicine, Roma                               Riccardo Maviglia - Policlinico Universitario “Agostino Gemelli”,
Marko Bertogna - HipeRT-Lab, Modena                                      Università Cattolica del Sacro Cuore, Roma
Nicolò Briante - D-Heart, Genova                                         Cristina Mussini - Azienda Ospedaliero-Universitaria Policlinico di
Federico Cabitza - Università degli Studi di Milano-Bicocca, Milano      Modena, Università degli Studi di Modena e Reggio Emilia, Modena
Mario Cannataro - Università Magna Graecia, Catanzaro                    Timothy Rawson - National Institute for Health Research, Imperial
Roberto Cauda - Università Cattolica del Sacro Cuore, Roma               College, London (UK)
Massimo Cicconi - Engineering Ingegneria Informatica SPA, Milano         Maurizio Sanguinetti - Policlinico Universitario “Agostino Gemelli”,
Andrea Damiani - Università Cattolica del Sacro Cuore, Roma              Roma
Jonathan Edgeworth - Kings College London (UK)                           Evelina Tacconelli - Università degli Studi di Verona, Verona
Massimo Fantoni - Policlinico Universitario “Agostino Gemelli”, Roma     Amalio Telenti - SVP Bioinformatics at Vir Biotechnology, San Diego,
Pasquale Fedele - Brain Control, Siena                                   California (USA)
Cosimo Fiorini - Ammagamma, Modena                                       Enrico Maria Trecarichi - Università Magna Graecia, Catanzaro
Paolo Fiorini - Prost, Verona                                            Vincenzo Valentini - Policlinico Universitario “Agostino Gemelli”, Roma
Caroline Garcia-Vidal - European Society of Clinical Microbiology and    Stefano Vella - Istituto Superiore di Sanità (ISS), Università Cattolica
Infectious Diseases, Barcelona                                           del Sacro Cuore, Roma
December 2 , 2021 nd

                                 “Use of machine learning to build tools
                             for clinical decision support and 4P medicine”
SESSION 1                                              SESSION 2
Chairs: R. Cauda, V. Valentini                                Chairs: A. Antinori, C. Mussini
15.00-15.10      Welcome and presentation of Workshop         16.10-16.30      LECTURE
                 - A. Cingolani, G. Guaraldi, F. Mandreoli,                    Sensors for the minimally invasive
                 R. Murri                                                      of antibiotic drug monitoring
15.10-15.30      LECTURE                                                       - T. Rawson
                 How the machine learning-based risk          16.30-16.40      Open discussion
                 scores can support clinical decisions        16.40-17.00      LECTURE
                 - C. Garcia-Vidal                                             International Experience in 4CE
15.30-15.40      Open discussion                                               - M. Cannataro, E.M. Trecarichi
15.40-16.00      LECTURE                                      17.00-17.10      Open discussion
                 The use of genomics in decoding human        17.10-18.40      ROUNDTABLE
                 susceptibility to infections                                  New technologies for data management
                 - A. Telenti                                                  and computer science for the building
16.00-16.10      Open discussion                                               of network
                                                                               - Conductor: C. Giovenzana
                                                                               - Speakers: N. Briante, F. Cabitza,
                                                                                 A. Damiani,C. Fiorini, M. Lai, S. Lanini
                                                              18.40-19.00      Closing Remarks
December 3 , 2021
                                                             rd

          “How artificial intelligence can change clinical practice”
SESSION 1                                SESSION 2
Chairs: M. Antonelli, M. Fantoni, M. Sanguinetti             Chairs: A. Antinori, C. Mussini
15.00-15.20      LECTURE                                     16.30-16.50      LECTURE
                 The use of artificial intelligence in                        New horizons for m-health technologies
                 the management of patients in Intensive                      in limited resource countries
                 Care Unit                                                    - M. Bartolo
                 - M. Cicconi                                16.50-17.00      Open discussion
15.30-15.50      LECTURE                                     17.00-17.20      LECTURE
                 Application of machine learning                              NewCastle experience
                 predictive tools for clinical management                     - J. Edgeworth
                 in HIV patients and beyond: a large
                                                             17.20-17.30      Open discussion
                 teaching hospital experience
                 - A. Cingolani, R. Maviglia, R. Murri       17.30-18.30      ROUNDTABLE
                                                                              Moving forward in collaborative
15.50-16.00      Open discussion                                              networking: how to homogenise
16.00-16.20      LECTURE                                                      the methodological bases and how to
                 Machine Learning to predict significant                      identify areas of intervention
                 healthy ageing indicators in Older People                    - Conductor: C. Giovenzana
                 Living with HIV: the MySAwH project                          - Speakers: M. Bertogna, P. Fedele,
                 - A. Telenti                                                   P. Fiorini, E. Tacconelli, S. Vella
16.20-16.30      Open discussion                             18.30-19.00      Closing Remarks
LIVE STREAMING: from www.sciterionfad.it, at Sciterion srl, via San Vito 7, 20123 Milano
 TARGET AUDIENCE: Medical Doctors specialist: Infectious Diseases, Microbiology and Virology,
                              Immunology, Internal Medicine; Clinical Pharmacology and Toxicology

                                                        REGISTRATION
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 LEARNING OBJECTIVES                                (n ° ECM 575-315033) is free.                  LANGUAGE
Principles, procedures and tools for             You can register on www.sciterion.it      The official language of this live
      the clinical governance                           or www.sciterionfad.it            educational conference is English.
         of health activities                            Available places: 250
                                                        CME Italian Credits: 12

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