Journal: Scientific Reports

Article Title: Machine learning identifies right index finger tenderness as key signal of DAS28-CRP based psoriatic arthritis activity

doi: 10.1038/s41598-023-49574-4

Figure Lengend Snippet: Flowchart of the study cases and data analysis. The data analysis was designed to use unsupervised methods to identify structures in the clinical data that supported the prior classification into PsA stages (remission or not, or remission, low or moderate), and to use generative AI and supervised methods to extract the most relevant items among the DAS28-CRP score items for prior classification and subgroups (clusters) or outliers detected in the DAS28-CRP pattern following data projection of a two-dimensional grid of artificial neurons (ESOM/U-matrix). The figure was created using Microsoft PowerPoint® (Redmond, WA, USA) on Microsoft Windows 11 running in a virtual machine powered by VirtualBox 7.0.6 (Oracle Corporation, Austin, TX, USA) as guest on Linux, and then further modified with the free vector graphics editor “Inkscape” (version 1.2.2 for Linux, https://inkscape.org/ ).

Article Snippet: The figure was created using Microsoft PowerPoint® (Redmond, WA, USA) on Microsoft Windows 11 running in a virtual machine powered by VirtualBox 7.0.6 (Oracle Corporation, Austin, TX, USA) as guest on Linux, and then further modified with the free vector graphics editor “Inkscape” (version 1.2.2 for Linux, https://inkscape.org/ ).

Techniques: Modification, Plasmid Preparation