ArticleFrontiers in pharmacology2024
Possible opportunities and challenges for traditional Chinese medicine research in 2035.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Tanshinone IIA-pretreated mesenchymal stem cells alleviate neuroinflammation in 3×Tg-AD mice via the TREM2/PI3K/Akt pathway.Stem cell research & therapy · 2026Article
- Innovative Drugs Approved in China After Registration Classification Reform: Current Status, Disparities, and Challenges.Clinical pharmacology and therapeutics · 2026Article
- Opportunities and Challenges of Integrating Ethiopian Traditional Medicine System Into Modern Medicine: A Narrative Review.TheScientificWorldJournal · 2026Review
- The Role of Traditional Chinese Medicine in COVID-19 Treatment: Integrating Ancient Wisdom with Modern Medicine.Current medicinal chemistry · 2026Review
- Evaluation of the Antibacterial Activity ofCurrent pharmaceutical design · 2026Article
- The neurobiology of plant-based therapeutics in women's reproductive health: mechanisms, efficacy, and clinical translation.Frontiers in nutrition · 2025Review
- Multi-omics study of the anti-colorectal cancer mechanisms of formononetin inFrontiers in pharmacology · 2025Article
- Natural bioactive compounds form herbal medicine in Alzheimer's disease: from the perspective of GSK-3β.Frontiers in pharmacology · 2025Review
- Natural bioactive compounds modified with mesenchymal stem cells: new hope for regenerative medicine.Frontiers in bioengineering and biotechnology · 2025Review
- The role of AMPKα subunit in Alzheimer's disease: In-depth analysis and future prospects.Heliyon · 2024Review
- Machine Learning Research Trends in Traditional Chinese Medicine: A Bibliometric Review.International journal of general medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The drug development process is poised for significant transformation due to the rapid advancement of modern biological and information technologies, such as artificial intelligence (AI). As these new technologies and concepts infiltrate every stage of drug development, the efficiency and success rate of research and development are expected to improve substantially. Traditional Chinese medicine (TCM), a time-honored therapeutic system encompassing herbal medicine, acupuncture, and qigong, will also be profoundly impacted by these advancements. Over the next decade, Traditional Chinese medicine research will encounter both opportunities and challenges as it integrates with modern technologies and concepts. By 2035, TCM is anticipated to merge with modern medicine through a more contemporary and open research and development model, providing substantial support for treating a broader spectrum of diseases.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.