AIMC Topic: Medicine, Chinese Traditional

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Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation.

Artificial intelligence in medicine
Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recently, the development of recommendation systems for herbs has garnered widespread academic attention, as these systems significantly impact the applicat...

[Acupuncture effects and neuro-immune regulation: a breakthrough in "treating diseases at the root"].

Zhen ci yan jiu = Acupuncture research
The holistic philosophy of traditional Chinese medicine (TCM) embodied in acupuncture therapy has gained novel insights within the neuroimmune regulatory framework. Its mechanistic framework encompasses 3 pivotal dimensions: 1) Acupuncture stimulatio...

[Technological innovation and future development of quantitative research on acupuncture manipulation techniques].

Zhen ci yan jiu = Acupuncture research
The quantitative research on acupuncture manipulation techniques aims to transform traditional empirical operations into measurable parameters through interdisciplinary technologies. This paper comprehensively reviewed the biomechanical foundations a...

An AI-driven strategy for active compounds discovery and non-destructive quality control in traditional Chinese medicine: A case of Xuefu Zhuyu Oral Liquid.

Talanta
The modernization and globalization of traditional Chinese medicine (TCM) face challenges such as unclear active compounds and inadequate quality control. Taking Xuefu Zhuyu Oral Liquid (XZOL) as an example, this study proposed an artificial intellig...

[Analysis of the ontology construction approach to acupoint anatomy].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Through the investigation of relevant literature, the concepts, methods, languages and tools of ontology were explored, and the suitable methods and tools for the ontology construction of acupoint anatomy were selected. The current mainstream anatomi...

Can GPTs Accelerate the Development of Intelligent Diagnosis and Treatment in Traditional Chinese Medicine? A Survey and Empirical Analysis.

Journal of evidence-based medicine
Intelligent traditional Chinese medicine (TCM) is a key pathway toward the modernization and globalization of TCM in the era of artificial intelligence. Due to its unique terminology and diagnostic framework, TCM's intelligentization process has long...

Integrating machine learning and human use experience to identify personalized pharmacotherapy in Traditional Chinese Medicine: a case study on resistant hypertension.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
OBJECTIVE: To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine (TCM), and further support the registration of new TCM drugs.

Explainable Artificial Intelligence in the Field of Drug Research.

Drug design, development and therapy
In recent years, the widespread use of artificial intelligence (AI) and big data technologies in drug research has significantly accelerated the drug development process. However, their black-box nature makes it challenging to evaluate their effectiv...

Construction and Application of a Traditional Chinese Medicine Syndrome Differentiation Model for Dysmenorrhea Based on Machine Learning.

Combinatorial chemistry & high throughput screening
BACKGROUND: Dysmenorrhea is one of the most common ailments affecting young and middle-aged women, significantly impacting their quality of life. Traditional Chinese Medicine (TCM) offers unique advantages in treating dysmenorrhea. However, an accura...

Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model.

Medicine
In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined with machine learning technology, to study the risk factors and better risk prediction model of diabetic retinopathy (DR), and provide basis for the ...