Stanford researchers have demonstrated clinical proof of concept that a real-time biofeedback system can reduce pain and slow joint degeneration in patients with movement disorders such as knee osteoarthritis.
Multiple Sclerosis (MS) is a potentially disabling autoimmune disease whereby autoactivated T and B cells attack and destroy protective myelin sheaths of the central nervous system(CNS).
Stanford researchers have identified a biomarker on cartilage precursor cells that can predict which cells will develop into inflammation-resistant and functionally appropriate tissue for autologous transplants to treat osteoarthritis.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford researchers have designed a system to provide accelerated magnetic resonance imaging (MRI) in the presence of metallic implants, which induce variations in the static magnetic field that normally require long scan times.
A team of Stanford researchers have identified a skeletal stem cell (SSC) along with the protein factors needed to direct differentiation toward bone, cartilage or bone marrow stroma.
Rat monoclonal antibody BZ194 specifically recognizes mouse serpentine receptor mCMKLR1 (aka ChemR23, DEZ). mCMKLR1 is a novel protein possessing high homology with members of the chemoattractant receptor family, and binds the chemoattractant chemerin.