Latest AI and machine learning research in psoriasis for healthcare professionals.
Drug co-assemblies have attracted extensive attention due to their advantages of easy preparation, a...
PURPOSE: The aim of this study is to evaluate the therapeutic potential of systemic glatiramer aceta...
Rheumatoid arthritis is a long-term autoimmune disorder, causes joint capsule, cartilage, and bone d...
The aim of the study was to determine the clinical and diagnostic value of IL-17A, IL-17F, and IL-23...
Methotrexate (MTX) is a drug that has long been used in high doses as an anti-cancer drug and lately...
Neural networks have become the standard approach for tasks such as computer vision, machine transla...
INTRODUCTION: High-dose methotrexate is a typical chemotherapy that is widely used in the treatment ...
BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual con...
BACKGROUND: The development of medical treatments has traditionally relied on researchers leveraging...
Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of beni...
This research proposes a computational framework for designing a compliant bistable mechanism and fa...
The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to it...
To analyse the types and applications of artificial intelligence (AI) technologies to predict treatm...
BACKGROUND: Methotrexate (MTX) is the mainstay initial treatment of rheumatoid arthritis (RA), but i...
For optical coherence tomography angiography (OCTA) images, the limited scanning rate leads to a tra...
Psoriasis is a common chronic skin disorder with a polygenic background. It is widely acknowledged t...
This study introduces an innovative approach combining deep-learning techniques with classical physi...
BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimiz...
The potential downsides for the present treatment for psoriasis are drug resistance, reduced efficac...
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibit...
Biophysical modeling, particularly involving partial differential equations (PDEs), offers significa...