Abstract: Methods and systems for ranking a plurality of articles for rendering on a website for a user account include receiving a request for accessing the website. Features are identified for the plurality of articles selected for rendering on the website. Each feature is associated with a value parameter having a value in a multi-dimensional vector space. A pair of solutions is identified for an article of the plurality of articles, wherein the pair of solutions identifies a portion of the multi-dimensional vector space that satisfies multiple objectives. A vector point defining the optimal solution is selected for the article from within the portion of the multi-dimensional vector space. The selected vector point is used in computing an article score for the article. The article score for the plurality of articles is used to identify and present a subset of the articles on the website for the user.

Abstract: Methods and systems for ranking a plurality of articles for rendering on a website for a user account include receiving a request for accessing the website. Features are identified for the plurality of articles selected for rendering on the website. Each feature is associated with a value parameter having a value in a multi-dimensional vector space. A pair of solutions is identified for an article of the plurality of articles, wherein the pair of solutions identifies a portion of the multi-dimensional vector space that satisfies multiple objectives. A vector point defining the optimal solution is selected for the article from within the portion of the multi-dimensional vector space. The selected vector point is used in computing an article score for the article. The article score for the plurality of articles is used to identify and present a subset of the articles on the website for the user.

Abstract: Methods are disclosed for detecting the likelihood that a subject will develop esophageal adenocarcinoma. Methods are also disclosed for determining if an agent is effective for treatment or prevention of esophageal adenocarcinoma in a subject. Methods are also disclosed for treating a subject. These methods include detecting a level of biglycan, myeloperoxidase, and protein S100-A9 in a biological sample from the subject administered the agent; and comparing the level of biglycan, myeloperoxidase, and protein S100-A9 to a respective control level of biglycan, myeloperoxidase, and protein S100-A9. In some embodiments, these methods also include detecting a level of annexin-A6 in a biological sample from the subject; and comparing the level of annexin-A6 to a respective control level of annexin-A6.