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Browse 47,334 clinical trials for rheumatoid arthritis. Find studies that match your criteria and connect with research centers.
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NCT01914484
This is the study to test combination regimen of Nilotinib and Ruxolitinib therapy for the treatment of patients with Philadelphia positive chronic myeloid leukemia (CML) or acute lymphoblastic leukemia (ALL) who is resistant to multiple tyrosine kinase inhibitor therapies with BCR-ABL kinase inhibition activity. Ruxolitinib is a tyrosine kinase inhibitor blocking alternative pathway independent of BCR-ABL mediated pathway, thus having a potential to overcome tyrosine kinase inhibitor resistance in Philadelphia positive CML or ALL patients. Phase I study will be conducted to define a recommended phase II dose (RPTD) and phase II study will examine the hypothesis that combinational approach will increase response rate of resistant CML/ALL patients, thus evaluating efficacy of the combination regimen.
NCT02747940
"Brain signatures" as objective measures of acute pain have been characterized with functional magnetic resonance image and machine learning technology. As compared to acute pain, chronic pain leads to greater socioeconomic burden. However, measures for chronic pain remain subjective and suboptimal, and the brain signatures for chronic pain are largely unknown. Chronic migraine and fibromyalgia are two prototypes primary chronic pain disorders with high disability and intractability with prevalence of around 2% for both diseases. These two chronic pain disorders have shared clinical presentations (abnormal pain sensitivity, mood and sleep disorders), pathophysiology (central sensitization) and medical treatment (anti-depressants), despite different body parts are involved (head vs. whole body). The present integrated project aims to characterize both common and disease-specific brain signatures of chronic pain by investigating these two chronic pain disorders. Our findings may shed some light on the key mechanisms of pain chronification, and may pave the way for the optimization of diagnosis and prognostication, as well as formulation of personalized medicine in chronic pain, so as to improve life quality of these patients and to reduce socioeconomic loss. The present project includes three interdisciplinary sub-projects (plus one animal study, not listed here): A: Clinical studies for chronic migraine and fibromyalgia: endophenotypes and pain chronification B: Functional neuroimaging of chronic pain: multimodal quantitative analysis of brain connectomes C. Data stream mining technology for multimodal physiological signals of chronic pain: real-time tracking and clinical correlation The specific aims of the present projects include: 1. Identification of common and disease-specific brain signatures for chronic pain (sub-projects A, B, C) 2. Investigation of clinical indicators with predictive values by machine learning analysis of big data (sub-projects A, B, C) 3. Elucidation of the specific anatomical structures or neural networks underpinning pain chronification based on clinical neuroimaging (sub-projects A, B) In this 1st-year pilot study of the 4-year longitudinal study, we will establish experimental platforms for each sub-project, start to recruit participants and perform endophenotyping, as well as have a preliminary integration for sub-projects A, B and C.