Results 201 to 210 of about 5,915,895 (288)

Correction to: Turning failure into success: how artificial intelligence can help personalize therapies and re-use patient data. [PDF]

Purinergic Signal
Abbracchio MP, Damiani E.
europepmc   +1 more source

The synergistic impact of granulocytic myeloid‐derived suppressor cells and innate lymphoid cells in systemic sclerosis

Arthritis &Rheumatology, Accepted Article.
Objective Systemic sclerosis (SSc) is a chronic autoimmune disorder characterized by immune dysregulation and fibrosis, with myeloid‐derived suppressor cells (MDSCs) emerging as important regulators of immune responses. However, the role of MDSCs in SSc‐associated fibrosis and their interactions with other immune cell populations remain poorly ...
Stefanie Weber, Mario R. Angeli, Hashem Mohammadian, Hannah Labinsky, Maria Gabriella Raimondo, Richard Demmler, Yuko Ariza, Thomas Wohlfahrt, Markus Luber, Yi‐Nan Li, Jörg H.W. Distler, Tobias Bäuerle, Georg Schett, Simon Rauber, Andreas Ramming, Alina M. Ramming   +15 more
wiley   +1 more source

Exploring the Potential of Cluster Analysis in Identifying Disease Phenotypes in Calcium Pyrophosphate Deposition: Moving From Intuition to Insight

Arthritis &Rheumatology, EarlyView.
Objective Calcium pyrophosphate deposition (CPPD) disease is a heterogeneous condition and is frequently misdiagnosed due to the different clinical presentations and variable disease progression. Aim of this study is to identify clinical phenotypes of CPPD disease by integrating real‐world data from two data sets. Methods Data from the COLCHICORT trial
Greta Pellegrino, Laurène Norberciak, Silvia Sirotti, Abhishek Abhishek, Mariano Andrès, Edoardo Cipolletta, Julien Damart, Renaud Desbarbieux, Pilar Diez, Vincent Ducoulombier, Hang‐Korng Ea, Emilio Filippucci, Charlotte Jauffret, Augustin Latourte, Jean‐Guillaume Letarouilly, Sébastien Ottaviani, Laura Pezzoni, Pascal Richette, Pierre Robinet, Georgios Filippou, Tristan Pascart   +20 more
wiley   +1 more source