A team led by the Hong Kong University of Science and Technology (HKUST) has developed a technique to study how different fish species interact with each other in a coastal region, a breakthrough that helps explain the complex relationships among marine species and how global warming impacts fish populations.
By analyzing minute traces of fish DNA from samples of seawater, the team combined the use of environmental DNA – known as eDNA – and advanced statistical analysis to not only detect the presence of fish species, but also reveal how the species interact with each other. Read More...
Japanese black seabream, one of the fish species in the study
Photo credit: Reiji Masuda
香港科技大學（科大）領導的國際研究團隊最近開發了一套人工智能模型，利用遺傳信息，可在出現病徵之前預測罹患阿爾茲海默症的風險。這項突破性研究為使用深度學習方法來預測疾病風險和揭示其分子機制開闢了道路。這將革新阿爾茲海默症及其他常見疾病如心血管疾病的診斷、干預、治療和臨床研究。
爲了研究並徹底驗證新發現的非經典切割機制，香港科技大學（科大）研究團隊在生命科學部助理教授阮俊英（Tuan Anh Nguyen）教授的帶領下，采用了多種尖端技術，如miRNA測序、pri-miRNA結構分析以及大約26萬個pri-miRNA的高通量切割實驗。與經典機制不同的是，非經典機制不依賴於經典機制所需的幾個關鍵蛋白和RNA特徵序列。