Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

Background Rare diseases (RD) are a diverse collection of more than 7–10,000 different
disorders, most of which affect a small number of people per disease. Because of their rarity …

Bone and periodontium are tissues that have a unique capacity to repair from harm.
However, replacing or regrowing missing tissues is not always effective, and it becomes …

知识图谱是赋予机器背景知识的大规模语义网络. 利用知识图谱对多源异构的医学信息进行有序
化组织, 能有效提升海量医学资源的利用价值, 推动医学智能化发展. 从知识图谱的关键技术 …

Objective Identifying sets of rare diseases with shared aspects of etiology and
pathophysiology may enable drug repurposing. Toward that aim, we utilized an integrative …

Abstract Background The United Nations recently made a call to address the challenges of
an estimated 300 million persons worldwide living with a rare disease through the collection …

Rare diseases (RDs) may affect individuals in small numbers, but they have a significant
impact on a global scale. Accurate diagnosis of RDs is challenging, and there is a severe …

Background Glioblastoma (GBM) is the most aggressive and common malignant primary
brain tumor; however, treatment remains a significant challenge. This study aims to identify …

Background Limited knowledge and unclear underlying biology of many rare diseases pose
significant challenges to patients, clinicians, and scientists. To address these challenges …