Literature DB >> 33318626

A machine learning approach to predict response to immunotherapy in type 1 diabetes.

Georgia Fousteri1, Ely Montee Rodrigues2, Gian Maria Giamporcaro2, Marika Falcone3.   

Abstract

Entities:  

Year:  2020        PMID： 33318626      PMCID： PMC8027390          DOI： 10.1038/s41423-020-00594-4

Source DB:  PubMed          Journal:  Cell Mol Immunol        ISSN： 1672-7681            Impact factor:   11.530


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  2 in total

Review 1.  Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents.

Authors:  Amal Alqahtani
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-25       Impact factor: 2.650

2.  Natural history of type 1 diabetes on an immunodysregulatory background with genetic alteration in B-cell activating factor receptor: A case report.

Authors:  Biagio Di Lorenzo; Lucia Pacillo; Giulia Milardi; Tatiana Jofra; Silvia Di Cesare; Jolanda Gerosa; Ilaria Marzinotto; Ettore Zapparoli; Beatrice Rivalta; Cristina Cifaldi; Federica Barzaghi; Carmela Giancotta; Paola Zangari; Novella Rapini; Annalisa Deodati; Giada Amodio; Laura Passerini; Paola Carrera; Silvia Gregori; Paolo Palma; Andrea Finocchi; Vito Lampasona; Maria Pia Cicalese; Riccardo Schiaffini; Gigliola Di Matteo; Ivan Merelli; Matteo Barcella; Alessandro Aiuti; Lorenzo Piemonti; Caterina Cancrini; Georgia Fousteri
Journal:  Front Immunol       Date:  2022-08-26       Impact factor: 8.786
  2 in total

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