Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Antiphospholipid syndrome, also known as APS, is an autoimmune disease that sits at the intersection of inflammation and blood clotting. Antiphospholipid syndrome is best known for increasing the risk ...

Between 2008 and 2020, the United States experienced a relentless increase in “Separation”—the researchers’ metric for the distance between the average opinion of the two groups. By 2024, the degree ...

The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

Treating antiphospholipid syndrome by focusing on blood clots falls short of addressing the underlying biology driving each individual patient's disease ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Antiphospholipid syndrome, also known as APS, is an autoimmune disease that sits at the intersection of inflammation and blood ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term digital storage.