Ontology highlight
ABSTRACT:
SUBMITTER: Pezoulas VC
PROVIDER: S-EPMC8760551 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Pezoulas Vasileios C VC Goules Andreas A Kalatzis Fanis F Chatzis Luke L Kourou Konstantina D KD Venetsanopoulou Aliki A Exarchos Themis P TP Gandolfo Saviana S Votis Konstantinos K Zampeli Evi E Burmeister Jan J May Thorsten T Marcelino Pérez Manuel M Lishchuk Iryna I Chondrogiannis Thymios T Andronikou Vassiliki V Varvarigou Theodora T Filipovic Nenad N Tsiknakis Manolis M Baldini Chiara C Bombardieri Michele M Bootsma Hendrika H Bowman Simon J SJ Soyfoo Muhammad Shahnawaz MS Parisis Dorian D Delporte Christine C Devauchelle-Pensec Valérie V Pers Jacques-Olivier JO Dörner Thomas T Bartoloni Elena E Gerli Roberto R Giacomelli Roberto R Jonsson Roland R Ng Wan-Fai WF Priori Roberta R Ramos-Casals Manuel M Sivils Kathy K Skopouli Fotini F Torsten Witte W A G van Roon Joel J Xavier Mariette M De Vita Salvatore S Tzioufas Athanasios G AG Fotiadis Dimitrios I DI
Computational and structural biotechnology journal 20220107
For many decades, the clinical unmet needs of primary Sjögren's Syndrome (pSS) have been left unresolved due to the rareness of the disease and the complexity of the underlying pathogenic mechanisms, including the pSS-associated lymphomagenesis process. Here, we present the HarmonicSS cloud-computing exemplar which offers beyond the state-of-the-art data analytics services to address the pSS clinical unmet needs, including the development of lymphoma classification models and the identification ...[more]