Characterizing memory T helper cells in patients with psoriasis, subclinical, or early psoriatic arthritis using a machine learning algorithm.
Hannah den BraankerWida RazawyKim WerversAnne-Marie C MusNadine DavelaarMarc R KokErik LubbertsPublished in: Arthritis research & therapy (2022)
Unsupervised clustering analysis revealed differences in circulating memory Th cells between psoriasis and PsA patients compared to HC; however, no specific subset was identified characterizing subclinical PsA patients.
Keyphrases
- machine learning
- end stage renal disease
- prostate cancer
- ejection fraction
- induced apoptosis
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- cell cycle arrest
- deep learning
- patient reported outcomes
- oxidative stress
- artificial intelligence
- endoplasmic reticulum stress
- cell death
- data analysis
- atopic dermatitis