[HTML][HTML] Biomarkers in psoriatic arthritis: A meta-analysis and systematic review

T Wirth, N Balandraud, L Boyer, P Lafforgue… - Frontiers in …, 2022 - frontiersin.org
Introduction Psoriatic arthritis (PsA) is a chronic inflammatory disease that frequently
develops in patients with psoriasis (PsO) but can also occur spontaneously. As a result, PsA …

The application of Aptamer in biomarker discovery

Y Li, WW Tam, Y Yu, Z Zhuo, Z Xue, C Tsang, X Qiao… - Biomarker …, 2023 - Springer
Biomarkers are detectable molecules that can reflect specific physiological states of cells,
organs, and organisms and therefore be regarded as indicators for specific diseases. And …

Omics and multi-omics analysis for the early identification and improved outcome of patients with psoriatic arthritis

R Gurke, A Bendes, J Bowes, M Koehm, RM Twyman… - Biomedicines, 2022 - mdpi.com
The definitive diagnosis and early treatment of many immune-mediated inflammatory
diseases (IMIDs) is hindered by variable and overlapping clinical manifestations. Psoriatic …

Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions

J Kedra, T Davergne, B Braithwaite… - Expert Review of …, 2021 - Taylor & Francis
Introduction Although the management of rheumatoid arthritis (RA) has improved in major
way over the last decades, this disease still leads to an important burden for patients and …

Tazarotene-calcipotriol loaded Nanostructured lipid carrier enriched hydrogel: A novel dual drug synergistic approach towards Psoriasis management

S Thakur, MM Anjum, S Jaiswal, AK Gautam… - Journal of Drug Delivery …, 2023 - Elsevier
Psoriasis with unclear etiology and pathogenesis is one of the most prevalent chronic skin
diseases. It involves excessive keratinocytes cells hyperproliferation, abnormal vascular …

[HTML][HTML] Artificial intelligence and laboratory data in rheumatic diseases

P Galozzi, D Basso, M Plebani, A Padoan - Clinica Chimica Acta, 2023 - Elsevier
Artificial intelligence (AI)-based medical technologies are rapidly evolving into actionable
solutions for clinical practice. Machine learning (ML) algorithms can process increasing …

[HTML][HTML] Harnessing big data, smart and digital technologies and artificial intelligence for preventing, early intercepting, managing, and treating psoriatic arthritis …

NL Bragazzi, C Bridgewood, A Watad… - Frontiers in …, 2022 - frontiersin.org
Background Rheumatological and dermatological disorders contribute to a significant
portion of the global burden of disease. Big Data are increasingly having a more and more …

A survey of artificial intelligence in rheumatoid arthritis

J Wang, Y Tian, T Zhou, D Tong, J Ma… - Rheumatology and …, 2023 - degruyter.com
The article offers a survey of currently notable artificial intelligence methods (released
between 2019-2023), with a particular emphasis on the latest advancements in detecting …

Application of clinical and molecular profiling data to improve patient outcomes in psoriatic arthritis

O FitzGerald, F Behrens, A Barton… - Therapeutic …, 2023 - journals.sagepub.com
Achieving a good outcome for a person with Psoriatic Arthritis (PsA) is made difficult by late
diagnosis, heterogenous clinical disease expression and in many cases, failure to …

Artificial intelligence in psoriasis: Where we are and where we are going

Z Liu, X Wang, Y Ma, Y Lin… - Experimental Dermatology, 2023 - Wiley Online Library
Artificial intelligence (AI) is a field of computer science that involves the development of
programs designed to replicate human cognitive processes and the analysis of complex …