Skip to content
Back Home
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
  • Search
Back Home
  • Search
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
Home » PRESS » Tumori: con la radiomica si punta a migliorare la diagnosi e personalizzare la terapia
PRESS

Tumori: con la radiomica si punta a migliorare la diagnosi e personalizzare la terapia

by admin|Published November 3, 2023

osservatoriomalattierare.it – 24 Agosto 2023

You may also like

Published December 11, 2023

PAM: Matematica alla scoperta del cervello – con Paola Antonietti

Il progetto BRAINUM per capire uno degli organi più affascinanti e misteriosi del nostro corpo: il cervello. Ne parliamo con Paola Antonietti, […]

Published September 18, 2025

MOX Laboratory at the International Festival of Engineering 2025

At the International Festival of Engineering 2025, the MOX Laboratory of the Department of Mathematics, Politecnico di Milano, will be present with […]

Published October 26, 2023

corriere.it – Synergy grants, Milano in prima fila nei finanziamenti europei per le ricerche più «ambiziose»

26 Ottobre 2023

Published August 1, 2023

Cuore digitale

An interview to prof. Alfio Quarteroni “Il romanzo della scienza”, newspaper “Il Cittadino”, 29-07-2023  

Post navigation

  • Previous post RadioMarconi
  • Back to post list
  • Next post New MOX Report on “Computationally efficient techniques for Spatial Regression with Differential Regularization”
      

© 2022 MOX Politecnico di Milano – Dipartimento di Matematica – Via Bonardi, n 9 – 20133 Milano – P.IVA 04376620151 – C.F. 80057930150

Privacy Policy

Cookie Policy

Contacts

Mail address:
p.za Leonardo da Vinci 32
20133 Milano
Phone: +39 02 2399 4611
Web site: mox.polimi.it
E-mail: lab-mox@polimi.it
E-mail: segreteria-mox@polimi.it