Osteoarthritis (OA) is a disabling condition that affects billions of people worldwide and
places a considerable burden on patients and on society owing to its prevalence and …

Unsupervised machine learning methods are important analytical tools that can facilitate the
analysis and interpretation of high-dimensional data. Unsupervised machine learning …

Stroke is an acute neurological dysfunction attributed to a focal injury of the central nervous
system due to reduced blood flow to the brain. Nowadays, stroke is a global threat …

Osteoarthritis (OA) is a leading cause of disability worldwide and clinical pain is the major
symptom of OA. This clinical OA-related pain is firmly associated with symptoms of insomnia …

Osteoarthritis (OA) is the most common form of arthritis globally and a major cause of pain,
physical disability, and loss of economic productivity, with currently no causal treatment …

Osteoarthritis (OA) is increasing in prevalence and has a severe impact on patients' lives.
However, our understanding of biomarkers driving OA risk remains limited. We developed a …

Background Osteoarthritis (OA), a multifaceted condition, poses a significant challenge for
the successful clinical development of therapeutics due to heterogeneity. However …

Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

Osteoarthritis (OA) is one of the most common chronic diseases in human and animal joints.
The joints undergo several morphological and histological changes during the development …

Objective To highlight the advances over the past year in metabolite/protein biomarkers for
osteoarthritis (OA). Method A literature search of five databases including PubMed, Web of …