The use of artificial intelligence in complementary and alternative medicine: A systematic scoping review

H Chu, S Moon, J Park, S Bak, Y Ko… - Frontiers in …, 2022 - frontiersin.org
Background: The development of artificial intelligence (AI) in the medical field has been
growing rapidly. As AI models have been introduced in complementary and alternative …

The impact of artificial intelligence on traditional Chinese medicine

Y Wang, X Shi, L Li, T Efferth… - The American journal of …, 2021 - World Scientific
Traditional Chinese Medicine (TCM) is a well-established medical system with a long
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …

Evaluating the traditional chinese medicine (TCM) officially recommended in China for COVID-19 using ontology-based side-effect prediction framework (OSPF) and …

Z Wang, L Li, M Song, J Yan, J Shi, Y Yao - Journal of ethnopharmacology, 2021 - Elsevier
Ethnopharmacological relevance The novel coronavirus disease (COVID-19) outbreak in
Wuhan has imposed a huge influence in terms of public health and economy on society …

Artificial Intelligence, machine learning, and big data for Ebola virus drug discovery

SK Kwofie, J Adams, E Broni, KS Enninful, C Agoni… - Pharmaceuticals, 2023 - mdpi.com
The effect of Ebola virus disease (EVD) is fatal and devastating, necessitating several efforts
to identify potent biotherapeutic molecules. This review seeks to provide perspectives on …

Treasuring the computational approach in medicinal plant research

H Singh, N Bharadvaja - Progress in Biophysics and Molecular Biology, 2021 - Elsevier
Medicinal plants serve as a valuable source of secondary metabolites since time
immemorial. Computational Research in 21st century is giving more attention to medicinal …

Novel chemical-structure TPOR agonist, TMEA, promotes megakaryocytes differentiation and thrombopoiesis via mTOR and ERK signalings

X Jiang, Y Sun, S Yang, Y Wu, L Wang, W Zou, N Jiang… - Phytomedicine, 2023 - Elsevier
Background Non-peptide thrombopoietin receptor (TPOR) agonists are promising therapies
for the mitigation and treatment of thrombocytopenia. However, only few agents are …

Managing and Retrieving Bilingual Documents Using Artificial Intelligence‐Based Ontological Framework

AF Alothman, AR Wahab Sait - Computational Intelligence and …, 2022 - Wiley Online Library
In recent times, artificial intelligence (AI) methods have been applied in document and
content management to make decisions and improve the organization's functionalities …

Approaching high-accuracy side effect prediction of traditional Chinese medicine compound prescription using network embedding and deep learning

Z Wang, L Li, J Yan, Y Yao - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we realize high-accuracy side-effect prediction of Traditional Chinese
Medicine Compound Prescription by introducing network embedding and deep learning. A …

Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach

L Li, C Xu, Y Guo, H Wang - Medicine, 2023 - journals.lww.com
Mpox (MPX) has escalated into a public health emergency of international concern,
necessitating urgent prophylactic and therapeutic measures. The primary goal of this …

Development and application of artificial intelligence in auxiliary TCM diagnosis

C Feng, Y Shao, B Wang, Y Qu, Q Wang… - Evidence‐Based …, 2021 - Wiley Online Library
As an emerging comprehensive discipline, artificial intelligence (AI) has been widely applied
in various fields, including traditional Chinese medicine (TCM), a treasure of the Chinese …