In this editorial, we briefly summarize the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9-11, 2019 at Columbus, Ohio, USA. Then, we introduce the two research articles included in this supplement issue. These two research articles were selected after careful review of 105 articles that were submitted to the conference, and cover topics on deep learning for drug-target interaction prediction and data mining and visualization of high-order drug-drug interactions.

中文翻译：

---

2019年智能生物学与医学国际会议：药物相互作用的计算方法。


在这篇社论中，我们简要总结了2019年智能生物学与医学国际会议（ICIBM 2019），该会议于2019年6月9日至11日在美国俄亥俄州哥伦布市举行。然后，我们介绍本增刊中包含的两篇研究文章。这两篇研究文章是在仔细审查了提交给会议的 105 篇文章后选出的，涵盖了药物与靶点相互作用的深度学习预测以及高阶药物与药物相互作用的数据挖掘和可视化主题。