Discussion on Efficacy of intensive acupuncture versus sham acupuncture in knee osteoarthritis: a randomized controlled trial published in Arthritis & Rheumatology. / 对Arthritis & Rheumatology"å¼ºåŒ–é’ˆåˆºå¯¹æ¯”å‡é’ˆæ²»ç–—è†éª¨å ³èŠ‚ç‚Žéšæœºå¯¹ç §è¯•éªŒ"一文的讨论.

Professor LIU Cunzhi's team from Beijing University of Chinese Medicine published Efficacy of intensive acupuncture versus sham acupuncture in knee osteoarthritis: a randomized controlled trial in Arthritis & Rheumatology on November 10th, 2021, which demonstrates that three-session per week acupuncture is safe and effective for knee osteoarthritis patients. Experts from home and abroad discussed in depth the study design, acupuncture protocol, and interpretation of the results of the trial, emphasizing the importance of pretrial implementation, acupuncture dosage, reasonable setting of control group and assessing the efficacy of acupuncture, and pointed out that the mechanism of acupuncture for knee osteoarthritis still needs further study, and how to promote acupuncture for knee osteoarthritis according to the clinical practice abroad while ensuring the efficacy of acupuncture is worthwhile to explore.

Dual Semi-Supervised Learning for Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Neuropsychological Data.

Deep learning has shown impressive diagnostic abilities in Alzheimer's disease (AD) research in recent years. However, although neuropsychological tests play a crucial role in screening AD and mild cognitive impairment (MCI), there is still a lack of deep learning algorithms only using such basic diagnostic methods. This paper proposes a novel semi-supervised method using neuropsychological test scores and scarce labeled data, which introduces difference regularization and consistency regularization with pseudo-labeling. A total of 188 AD, 402 MCI, and 229 normal controls (NC) were enrolled in the study from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We first chose the 15 features most associated with the diagnostic outcome by feature selection among the seven neuropsychological tests. Next, we proposed a dual semi-supervised learning (DSSL) framework that uses two encoders to learn two different feature vectors. The diagnosed 60 and 120 subjects were randomly selected as training labels for the model. The experimental results show that DSSL achieves the best accuracy and stability in classifying AD, MCI, and NC (85.47% accuracy for 60 labels and 88.40% accuracy for 120 labels) compared to other semi-supervised methods. DSSL is an excellent semi-supervised method to provide clinical insight for physicians to diagnose AD and MCI.

[Discussion on Acupuncture as adjunctive therapy for chronic stable angina: a randomized clinical trial published in JAMA Internal Medicine].

Professor LIANG Fan-rong's team from Chengdu University of TCM published Acupuncture as adjunctive therapy for chronic stable angina: a randomized clinical trial in JAMA Internal Medicine on July 29, 2019, which demonstrates that acupuncture as an adjunctive therapy is safety and effective for mild and moderate chronic stable angina. Sixteen experts at home and abroad conducted serious discussions on the research design, evaluation methods, principles and mechanisms, clinical significance and enlightenment of future acupuncture research, and provided practical suggestions for acupuncture and moxibustion to go global and gain international recognition.