Pusan National University researchers develop AI tool to map microRNA binding dites on circular RNAs
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 2-Nov-2026 22:17 ET (3-Nov-2026 03:17 GMT/UTC)
circRNA–microRNA interactions can be difficult to map precisely. Researchers developed an AI bioinformatics tool, circMAC, to predict candidate microRNA binding regions within full-length circular RNA isoforms at nucleotide resolution. By preserving circular sequence continuity and conditioning predictions on the specific microRNA, circMAC showed stronger performance than the evaluated RNA language models and rule-based screening approaches under the benchmark settings. The framework could help researchers prioritize candidate binding regions for experimental studies of gene regulation.
Artificial intelligence (AI) offers new opportunities for the modernization and global development of traditional Chinese medicine (TCM), while raising challenges in data quality, ethical governance, scientific evaluation and international standardization.
The Hangzhou Declaration on the Global Development of Artificial Intelligence in Traditional Chinese Medicine, published in the Journal of Integrative Medicine (Volume 24, Issue 5), outlines nine guiding principles for the responsible integration of AI and TCM. These include preserving the theoretical foundations of TCM while encouraging innovation, prioritizing clinical needs and patient safety, strengthening ethical governance and data standards, advancing scientific evaluation, and promoting interdisciplinary collaboration and international cooperation.
The declaration provides a framework for the safe, inclusive, and sustainable development of AI-enabled TCM, with the broader goal of contributing to global health.
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