TY  -  JOUR
AU  -  Baldini, Chiara
AU  -  Fulvio, Giovanni
AU  -  La Rocca, Gaetano
AU  -  Garcia Navarro, Inmaculada Conception
AU  -  Moretti, Michele
AU  -  Ferro, Francesco
AU  -  Grossi, Enzo
T1  -  Sjögren’s disease in males: role of artificial neural network towards a personalized medicine. A narrative review
PY  -  2024
Y1  -  2024-05-01
DO  -  10.1723/4297.42785
JO  -  Journal of Sex- and Gender-Specific Medicine
JA  -  J Sex Gender Specif Med
VL  -  10
IS  -  2
SP  -  87
EP  -  93
PB  -  Il Pensiero Scientifico Editore
SN  -  2974-8623
Y2  -  2026/05/14
UR  -  http://dx.doi.org/10.1723/4297.42785
N2  -  Summary. Sjögren’s disease (SjD) is a complex and heterogeneous condition that predominantly affects females in menopausal age. SjD is quite rare in males and often misdiagnosed or diagnosed with a considerable delay. Several differences in clinical presenting features, serological profiles and long-term outcomes have been reported in the literature with male sex apparently presenting a more severe disease with higher risk for lymphoma and increased mortality. In this paper we will review the most recent insights into sex differences in SjD and we will specifically focus on the contribution of artificial neural network methodology in patients’ sub-phenotyping and in driving individualized treatment in the era of precision medicine.
ER  -